From 19bba104f0d2a4ac20f13d78e5aff5db157e29f7 Mon Sep 17 00:00:00 2001 From: kastnerp Date: Thu, 26 Dec 2024 14:29:37 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20Sustaina?= =?UTF-8?q?bleUrbanSystemsLab/SustainableUrbanSystemsLab.github.io@a7507f3?= =?UTF-8?q?cfc837d08fac1de09817319d21a59fe4e=20=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- 404.html | 2 +- _pages/research/research/index.html | 2 +- blog/index.html | 2 +- code/index.html | 2 +- feed.xml | 2 +- index.html | 2 +- join/index.html | 2 +- news/announcement_1/index.html | 2 +- news/announcement_10/index.html | 2 +- news/announcement_11/index.html | 2 +- news/announcement_12/index.html | 2 +- news/announcement_13/index.html | 2 +- news/announcement_14/index.html | 2 +- news/announcement_15/index.html | 2 +- news/announcement_16/index.html | 2 +- news/announcement_17/index.html | 2 +- news/announcement_18/index.html | 2 +- news/announcement_19/index.html | 2 +- news/announcement_2/index.html | 2 +- news/announcement_20/index.html | 2 +- news/announcement_21/index.html | 2 +- news/announcement_22/index.html | 2 +- news/announcement_23/index.html | 2 +- news/announcement_24/index.html | 2 +- news/announcement_25/index.html | 2 +- news/announcement_26/index.html | 2 +- news/announcement_3/index.html | 2 +- news/announcement_4/index.html | 2 +- news/announcement_5/index.html | 2 +- news/announcement_6/index.html | 2 +- news/announcement_7/index.html | 2 +- news/announcement_8/index.html | 2 +- news/announcement_9/index.html | 2 +- news/index.html | 2 +- projects/1_capstone/index.html | 2 +- projects/1_misc/index.html | 33 ----------------------------- projects/1_thesis/index.html | 2 +- projects/2_capstone/index.html | 2 +- projects/2_thesis/index.html | 2 +- projects/3_capstone/index.html | 6 +++--- projects/3_thesis/index.html | 2 +- projects/4_capstone/index.html | 6 +++--- publications/index.html | 2 +- sitemap.xml | 2 +- teaching/cu-arch-5616/index.html | 2 +- teaching/cu-sysen-5160/index.html | 2 +- teaching/gt-arch-6242/index.html | 2 +- teaching/gt-arch-7014/index.html | 2 +- teaching/gt-arch-7030/index.html | 2 +- teaching/gt-arch-8833/index.html | 2 +- teaching/gt-vip-vyh/index.html | 2 +- teaching/index.html | 6 +++--- team/aerathu/index.html | 2 +- team/almaian/index.html | 2 +- team/beesen/index.html | 2 +- team/bernal/index.html | 2 +- team/changnawa/index.html | 2 +- team/cohen/index.html | 2 +- team/dogan/index.html | 2 +- team/gomez/index.html | 2 +- team/haas/index.html | 2 +- team/hernandez/index.html | 2 +- team/index.html | 2 +- team/jadhav/index.html | 2 +- team/jiang/index.html | 2 +- team/kastner/index.html | 2 +- team/ku/index.html | 2 +- team/lim/index.html | 2 +- team/ma/index.html | 2 +- team/mahajan/index.html | 2 +- team/martinez_mori/index.html | 2 +- team/mondal/index.html | 2 +- team/mujica/index.html | 2 +- team/patel/index.html | 2 +- team/rahimi/index.html | 2 +- team/rothe/index.html | 2 +- team/shi/index.html | 2 +- team/shih/index.html | 2 +- team/sprague/index.html | 2 +- team/troxell/index.html | 2 +- team/vangelova/index.html | 2 +- team/vegas/index.html | 2 +- team/xu/index.html | 2 +- theses/index.html | 2 +- 84 files changed, 89 insertions(+), 122 deletions(-) delete mode 100644 projects/1_misc/index.html diff --git a/404.html b/404.html index 509a00edd0b3..f1c6e039f22e 100644 --- a/404.html +++ b/404.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Page not found

Looks like there has been a mistake. Nothing exists here.

You will be redirected to the main page within 3 seconds. If not redirected, please go back to the home page.

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Page not found

Looks like there has been a mistake. Nothing exists here.

You will be redirected to the main page within 3 seconds. If not redirected, please go back to the home page.

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Research

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Research

\ No newline at end of file diff --git a/blog/index.html b/blog/index.html index 0e80bde61835..76a7df32a74d 100644 --- a/blog/index.html +++ b/blog/index.html @@ -16,4 +16,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -
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Code & Workflows

Listed below are Github repositories that resulted from work in our lab.

SustainableUrbanSystemsLab/CP-IBPC2024-Humidity-Case SustainableUrbanSystemsLab/CP-IBPC2024-Humidity-Case
SustainableUrbanSystemsLab/CP-IBPC2024-UMCF-Case SustainableUrbanSystemsLab/CP-IBPC2024-UMCF-Case
SustainableUrbanSystemsLab/CP-SIGRADI2024-Assessing-Solar-Potential-of-Buildings-Using-LiDAR-and-Footprint-Data SustainableUrbanSystemsLab/CP-SIGRADI2024-Assessing-Solar-Potential-of-Buildings-Using-LiDAR-and-Footprint-Data
SustainableUrbanSystemsLab/CP-GNI2024-UWG SustainableUrbanSystemsLab/CP-GNI2024-UWG
SustainableUrbanSystemsLab/CP-GNI2024-Symposium-Enriching-geospatial-building-datasets SustainableUrbanSystemsLab/CP-GNI2024-Symposium-Enriching-geospatial-building-datasets
SustainableUrbanSystemsLab/NREL-PSM3-2-EPW SustainableUrbanSystemsLab/NREL-PSM3-2-EPW
Eddy3D-Dev/Plot-OpenFOAM-Residuals Eddy3D-Dev/Plot-OpenFOAM-Residuals
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Code & Workflows

Listed below are Github repositories that resulted from work in our lab.

SustainableUrbanSystemsLab/CP-IBPC2024-Humidity-Case SustainableUrbanSystemsLab/CP-IBPC2024-Humidity-Case
SustainableUrbanSystemsLab/CP-IBPC2024-UMCF-Case SustainableUrbanSystemsLab/CP-IBPC2024-UMCF-Case
SustainableUrbanSystemsLab/CP-SIGRADI2024-Assessing-Solar-Potential-of-Buildings-Using-LiDAR-and-Footprint-Data SustainableUrbanSystemsLab/CP-SIGRADI2024-Assessing-Solar-Potential-of-Buildings-Using-LiDAR-and-Footprint-Data
SustainableUrbanSystemsLab/CP-GNI2024-UWG SustainableUrbanSystemsLab/CP-GNI2024-UWG
SustainableUrbanSystemsLab/CP-GNI2024-Symposium-Enriching-geospatial-building-datasets SustainableUrbanSystemsLab/CP-GNI2024-Symposium-Enriching-geospatial-building-datasets
SustainableUrbanSystemsLab/NREL-PSM3-2-EPW SustainableUrbanSystemsLab/NREL-PSM3-2-EPW
Eddy3D-Dev/Plot-OpenFOAM-Residuals Eddy3D-Dev/Plot-OpenFOAM-Residuals
\ No newline at end of file diff --git a/feed.xml b/feed.xml index c5d92417ab57..7106666a015e 100644 --- a/feed.xml +++ b/feed.xml @@ -1 +1 @@ -Jekyll2024-12-26T10:55:13+00:00https://sustainableurbansystemslab.github.io//feed.xmlSustainable Urban Systems LabDeveloping innovative decision-making tools for sustainable urban planning and design at Georgia Tech. \ No newline at end of file +Jekyll2024-12-26T14:24:57+00:00https://sustainableurbansystemslab.github.io//feed.xmlSustainable Urban Systems LabDeveloping innovative decision-making tools for sustainable urban planning and design at Georgia Tech. \ No newline at end of file diff --git a/index.html b/index.html index 5d5a7a84a787..066d315358de 100644 --- a/index.html +++ b/index.html @@ -54,4 +54,4 @@ issn = {0360-1323}, url = {https://www.researchgate.net/publication/350385969_Surfer_A_fast_simulation_algorithm_to_predict_surface_temperatures_and_mean_radiant_temperatures_in_large_urban_models}, keywords = {Comfort, Surface-temperature, Mean-radiant-temperature, Urban, Design, Microclimate}, -}
\ No newline at end of file +}
\ No newline at end of file diff --git a/join/index.html b/join/index.html index 4209b1e3208c..9866664e07bf 100644 --- a/join/index.html +++ b/join/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Join

Information for prospective students

I appreciate your interest in working with me. I receive a fair number of inquiries from prospective students and have put together this page to provide more information.

We seek students from all backgrounds.


  • If you are an architect or urban designer, you will learn data/technical skills to effectively apply your domain expertise to build modeling and decision-making tools.
  • If you are a coder or from a technical background, you will learn how your skills can help build tools to empower others to design and plan sustainable cities.

You can start working with me in a number of ways, depending on whether you are a Georgia Tech (GT) student or external to GT.

External to GT

If you are external to GT and would like to join GT to work with me, I would encourage you to either apply for the M.S. in Architecture or the Ph.D. in Architecture. Please note that admission decisions are made by an admissions committee. I personally cannot admit you to one of our programs.

Before submitting an official GT application, you are welcome to reach out to me beforehand to make sure there is a fit. Instead of approaching me with a cover letter, please use this form to get in touch with me.

Student at GT

If you are a current student at Georgia Tech and would like to join my group, I ask you to complete one semester in my Vertically Integrated Project (VIP) before joining my lab.

Please refer to the official VIP program information on how to join my VIP as an undergraduate or grad student. There are options to join the class with 1-3 credit hours, depending on your level of seniority at GT.

\ No newline at end of file +

Join

Information for prospective students

I appreciate your interest in working with me. I receive a fair number of inquiries from prospective students and have put together this page to provide more information.

We seek students from all backgrounds.


  • If you are an architect or urban designer, you will learn data/technical skills to effectively apply your domain expertise to build modeling and decision-making tools.
  • If you are a coder or from a technical background, you will learn how your skills can help build tools to empower others to design and plan sustainable cities.

You can start working with me in a number of ways, depending on whether you are a Georgia Tech (GT) student or external to GT.

External to GT

If you are external to GT and would like to join GT to work with me, I would encourage you to either apply for the M.S. in Architecture or the Ph.D. in Architecture. Please note that admission decisions are made by an admissions committee. I personally cannot admit you to one of our programs.

Before submitting an official GT application, you are welcome to reach out to me beforehand to make sure there is a fit. Instead of approaching me with a cover letter, please use this form to get in touch with me.

Student at GT

If you are a current student at Georgia Tech and would like to join my group, I ask you to complete one semester in my Vertically Integrated Project (VIP) before joining my lab.

Please refer to the official VIP program information on how to join my VIP as an undergraduate or grad student. There are options to join the class with 1-3 credit hours, depending on your level of seniority at GT.

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Announcement_1

Created in February 08, 2021

2021

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Announcement_1

Created in February 08, 2021

2021

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Announcement_10

Created in May 07, 2022

2022

I was invited to serve as a panelist at the 2022 Cornell Systems Thinking conference. My colleagues and I will be discussing the analytical and synthetic power of DSRP structural predictions on innovation and discovery as well as how they might minimize cognitive bias.

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Announcement_10

Created in May 07, 2022

2022

I was invited to serve as a panelist at the 2022 Cornell Systems Thinking conference. My colleagues and I will be discussing the analytical and synthetic power of DSRP structural predictions on innovation and discovery as well as how they might minimize cognitive bias.

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I joined the Systems department at Cornell to teach a class on data-driven decision-making.

Created in May 24, 2022

2022

I’m excited to share that I joined the Systems department at Cornell this past spring semester to teach a class on data-driven decision-making.

From my own educational training, my most valuable learning experience came from building something tangible that solves a problem for other people; so the students were asked to use #Streamlit for all final project implementations in Python. Additionally, every team showcased their final project with a summary on #Medium to share it with a greater audience. All code is shared on Github for open access:

SYSEN-5160 Projects

Great job everyone and happy graduation: Jamie Donahue Sijie C. Fernando Celaya Oyón Henry Harwood Ronin Sharma Sushant Gadgil Isabel Richter Mariya Tasnim Xinzhu W. (and all other students I am not connected with on LinkedIn).

A big thanks to all guest speakers for their input lectures which added unique perspectives on the topics we covered: Graeme Troxell Christian Sprague Siddharth Dasari Mark Sen Dong Marius Wiggert Filipe Pereira

Finally, I’d like to thank Phuc Vo for all the help with grading and Oliver Gao for the opportunity to collaborate on the conceptualization and development of SYSEN5160.

\ No newline at end of file +

I joined the Systems department at Cornell to teach a class on data-driven decision-making.

Created in May 24, 2022

2022

I’m excited to share that I joined the Systems department at Cornell this past spring semester to teach a class on data-driven decision-making.

From my own educational training, my most valuable learning experience came from building something tangible that solves a problem for other people; so the students were asked to use #Streamlit for all final project implementations in Python. Additionally, every team showcased their final project with a summary on #Medium to share it with a greater audience. All code is shared on Github for open access:

SYSEN-5160 Projects

Great job everyone and happy graduation: Jamie Donahue Sijie C. Fernando Celaya Oyón Henry Harwood Ronin Sharma Sushant Gadgil Isabel Richter Mariya Tasnim Xinzhu W. (and all other students I am not connected with on LinkedIn).

A big thanks to all guest speakers for their input lectures which added unique perspectives on the topics we covered: Graeme Troxell Christian Sprague Siddharth Dasari Mark Sen Dong Marius Wiggert Filipe Pereira

Finally, I’d like to thank Phuc Vo for all the help with grading and Oliver Gao for the opportunity to collaborate on the conceptualization and development of SYSEN5160.

\ No newline at end of file diff --git a/news/announcement_12/index.html b/news/announcement_12/index.html index 9d101c1539d4..02c758010cdb 100644 --- a/news/announcement_12/index.html +++ b/news/announcement_12/index.html @@ -16,4 +16,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

I will be defending my Ph.D. thesis soon, come join me!

Created in September 01, 2022

2022

My Ph.D. is nearing its end and I’ll have the opportunity to present my research to the wider community.

I’ll be introducing “A Decoupled Framework for Fast and High-Resolution Simulations of Annual Outdoor Thermal Comfort”

Click to show abstract Cities will experience a substantial increase in extreme weather events as global warming continues, thereby affecting the microclimate they create for their citizens. The micro climate in cities is shaped by the built environment, proposed and developed by architects and urban designers, and constrained by the zoning rules imposed by urban planners. These stakeholders go through a design process where the most impactful changes can only be made very early on; however, there are currently no computational tools to estimate the microclimatic impact of their designs at this crucial stage.
This thesis introduces a decoupled approach to simulating outdoor thermal comfort motivated by global sensitivity analyses. For this, we streamline and validate computational fluid dynamics and ray tracing processes needed to simulate the wind velocity and mean radiant temperature in urban areas. We further introduce a surrogate model driven by a generative adversarial network that allows for near-instantaneous design feedback in very early design.
In three case studies, we show how the methods can be used in practice at different scales: (1) to engage in building-scale architectural design, (2) run parametric studies and optimization for urban design, (3) and inform city-scale urban policy. We conclude by providing an outlook on how the latest machine learning techniques will likely be applied to the field of architecture, revolutionizing the way we engage with environmental performance simulation in the design process.

If you’d like to find out more about my thesis and the work over the last four years, feel free to join my committee and me for this special occasion.

The presentation will take place on Sep 8, 2022, from 12-2 pm in Rhodes Hall 261, in Ithaca, NY or you can join virtually via Zoom.  Link to the calendar event and Zoom details: https://bit.ly/pkastner-b-exam

Shoutout to Elias Fecher for his help on the poster!

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I will be defending my Ph.D. thesis soon, come join me!

Created in September 01, 2022

2022

My Ph.D. is nearing its end and I’ll have the opportunity to present my research to the wider community.

I’ll be introducing “A Decoupled Framework for Fast and High-Resolution Simulations of Annual Outdoor Thermal Comfort”

Click to show abstract Cities will experience a substantial increase in extreme weather events as global warming continues, thereby affecting the microclimate they create for their citizens. The micro climate in cities is shaped by the built environment, proposed and developed by architects and urban designers, and constrained by the zoning rules imposed by urban planners. These stakeholders go through a design process where the most impactful changes can only be made very early on; however, there are currently no computational tools to estimate the microclimatic impact of their designs at this crucial stage.
This thesis introduces a decoupled approach to simulating outdoor thermal comfort motivated by global sensitivity analyses. For this, we streamline and validate computational fluid dynamics and ray tracing processes needed to simulate the wind velocity and mean radiant temperature in urban areas. We further introduce a surrogate model driven by a generative adversarial network that allows for near-instantaneous design feedback in very early design.
In three case studies, we show how the methods can be used in practice at different scales: (1) to engage in building-scale architectural design, (2) run parametric studies and optimization for urban design, (3) and inform city-scale urban policy. We conclude by providing an outlook on how the latest machine learning techniques will likely be applied to the field of architecture, revolutionizing the way we engage with environmental performance simulation in the design process.

If you’d like to find out more about my thesis and the work over the last four years, feel free to join my committee and me for this special occasion.

The presentation will take place on Sep 8, 2022, from 12-2 pm in Rhodes Hall 261, in Ithaca, NY or you can join virtually via Zoom.  Link to the calendar event and Zoom details: https://bit.ly/pkastner-b-exam

Shoutout to Elias Fecher for his help on the poster!

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Successfully defended my Ph.D. thesis! 🎉

Created in September 08, 2022

2022

I am excited to share that I passed my Ph.D. defense! My time at Cornell has been such an immensely stimulating and rewarding experience and I am very grateful for it.

I would like to thank my committee members Oliver and Martin for all of their support over the years and especially Timur who, four years ago, decided to take me on as his first Ph.D. student. I also want to thank all friends, family, and loved ones who joined both in person and virtually from NYC, Germany, Belgium, Norway, and other countries to make this a very special week for me.

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Successfully defended my Ph.D. thesis! 🎉

Created in September 08, 2022

2022

I am excited to share that I passed my Ph.D. defense! My time at Cornell has been such an immensely stimulating and rewarding experience and I am very grateful for it.

I would like to thank my committee members Oliver and Martin for all of their support over the years and especially Timur who, four years ago, decided to take me on as his first Ph.D. student. I also want to thank all friends, family, and loved ones who joined both in person and virtually from NYC, Germany, Belgium, Norway, and other countries to make this a very special week for me.

\ No newline at end of file diff --git a/news/announcement_14/index.html b/news/announcement_14/index.html index 74be327d410c..2ccf46058f6e 100644 --- a/news/announcement_14/index.html +++ b/news/announcement_14/index.html @@ -16,4 +16,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Guest lecture at Thomas Jefferson University.

Created in November 17, 2022

2022

I was invited by Prof. Peng Du and my colleague Yang Yang to present Eddy3D as part of their MUD 600: Modeling Urban Environmental Performance course for the Master of Urban Design - Future Cities program. Thank you very much for the opportunity.

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Guest lecture at Thomas Jefferson University.

Created in November 17, 2022

2022

I was invited by Prof. Peng Du and my colleague Yang Yang to present Eddy3D as part of their MUD 600: Modeling Urban Environmental Performance course for the Master of Urban Design - Future Cities program. Thank you very much for the opportunity.

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Poster presentation at the Data-Driven Urban Tech Conference

Created in May 08, 2023

2023

📢 Excited to share that I will be presenting a poster on May 15 at the Data-Driven Urban Tech Workshop at Cornell Tech in NYC! 📝

I’ll be presenting our work on real-time environmental performance prediction of outdoor thermal comfort in cities. We’ve developed a surrogate model for urban CFD simulations that has been trained on thousands of building massing models. This approach significantly reduces computational costs and increases accessibility in the early design process.

💡 Highlights:

1️⃣ The model is trained using an end-to-end pipeline based on #Eddy3D and implemented within the Rhino and Grasshopper environment.

2️⃣ The model provides real-time simulation feedback within Rhino/Grasshopper software, reduces the risk of user error, and allows for appropriate spatial resolution in early urban design.

3️⃣ We show very promising accuracy on 1300+ geometries and 130k+ training pairs.

🚀 Although our model has limitations in predicting some very complex urban wake regions, it significantly facilitates the incorporation of urban airflow analysis in early design with minimal effort and real-time feedback.

You can find the initial preprint here: A Gan-Based Surrogate Model for Instantaneous Urban Wind Flow Prediction

If this piqued your interest, please come talk to me next week 5/15 01:15-02:45pm! 🏙️

More info, agenda, and lineup

Timur Dogan Environmental Systems Lab, Cornell AAP Cornell University College of Architecture, Art, and Planning

#UrbanTech #UrbanDesign #CFD #GANs #MachineLearning #UrbanMicroclimate #PedestrianComfort #CornellTech

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Poster presentation at the Data-Driven Urban Tech Conference

Created in May 08, 2023

2023

📢 Excited to share that I will be presenting a poster on May 15 at the Data-Driven Urban Tech Workshop at Cornell Tech in NYC! 📝

I’ll be presenting our work on real-time environmental performance prediction of outdoor thermal comfort in cities. We’ve developed a surrogate model for urban CFD simulations that has been trained on thousands of building massing models. This approach significantly reduces computational costs and increases accessibility in the early design process.

💡 Highlights:

1️⃣ The model is trained using an end-to-end pipeline based on #Eddy3D and implemented within the Rhino and Grasshopper environment.

2️⃣ The model provides real-time simulation feedback within Rhino/Grasshopper software, reduces the risk of user error, and allows for appropriate spatial resolution in early urban design.

3️⃣ We show very promising accuracy on 1300+ geometries and 130k+ training pairs.

🚀 Although our model has limitations in predicting some very complex urban wake regions, it significantly facilitates the incorporation of urban airflow analysis in early design with minimal effort and real-time feedback.

You can find the initial preprint here: A Gan-Based Surrogate Model for Instantaneous Urban Wind Flow Prediction

If this piqued your interest, please come talk to me next week 5/15 01:15-02:45pm! 🏙️

More info, agenda, and lineup

Timur Dogan Environmental Systems Lab, Cornell AAP Cornell University College of Architecture, Art, and Planning

#UrbanTech #UrbanDesign #CFD #GANs #MachineLearning #UrbanMicroclimate #PedestrianComfort #CornellTech

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Announcement_16

Created in June 29, 2023

2023

Our paper “A GAN-based Surrogate Model for Instantaneous Urban Wind Flow Prediction” was accepted and has been published in Building and Environment!

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Announcement_16

Created in June 29, 2023

2023

Our paper “A GAN-based Surrogate Model for Instantaneous Urban Wind Flow Prediction” was accepted and has been published in Building and Environment!

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I joined Georgia Tech as an Assistant Professor! 🎉

Created in August 15, 2023

2023

📢 I am excited to share that I joined the faculty at the Georgia Tech School of Architecture as an Assistant Professor! 🏛️

During my journey at Cornell Systems Engineering and Cornell University College of Architecture, Art, and Planning, I was continually drawn to the potential Systems tools would have when applied to the field of architecture. The built environment faces many challenges in the coming decades, and I am excited to contribute with software tools that place sustainability at the forefront of the profession.

I would also like to take this opportunity to thank my mentors, family, and friends. I am particularly thankful to have Timur Dogan, Oliver Gao, Martin Miller, Derek Cabrera, and Lisa Kaltenegger as my supporters and mentors.

As I start this new chapter, I look forward to continuing my collaborations with my colleagues at TUM, Technion, MIT, Cornell, and of course, to establishing new ones at the Georgia Tech High Performance Building Lab - HPBL, Georgia Tech, Atlanta, and beyond.

If you (or someone you know) are interested in working with me, please reach out. I will be recruiting students and post-docs this fall. More news to follow in the coming weeks…

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I joined Georgia Tech as an Assistant Professor! 🎉

Created in August 15, 2023

2023

📢 I am excited to share that I joined the faculty at the Georgia Tech School of Architecture as an Assistant Professor! 🏛️

During my journey at Cornell Systems Engineering and Cornell University College of Architecture, Art, and Planning, I was continually drawn to the potential Systems tools would have when applied to the field of architecture. The built environment faces many challenges in the coming decades, and I am excited to contribute with software tools that place sustainability at the forefront of the profession.

I would also like to take this opportunity to thank my mentors, family, and friends. I am particularly thankful to have Timur Dogan, Oliver Gao, Martin Miller, Derek Cabrera, and Lisa Kaltenegger as my supporters and mentors.

As I start this new chapter, I look forward to continuing my collaborations with my colleagues at TUM, Technion, MIT, Cornell, and of course, to establishing new ones at the Georgia Tech High Performance Building Lab - HPBL, Georgia Tech, Atlanta, and beyond.

If you (or someone you know) are interested in working with me, please reach out. I will be recruiting students and post-docs this fall. More news to follow in the coming weeks…

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Funding updates Fa23!

Created in December 15, 2023

2023

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Funding updates Fa23!

Created in December 15, 2023

2023

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Anubha Mahajan presenting at the 2024 Sustainability Showcase at the BBISS

Created in March 08, 2024

2024

Our student Anubha Mahajan showcased her teams’ work this week at the Sustainability Showcase at the Brook Byers Institute for Sustainable Systems.

She and her team are currently working on a surrogate model of urban building energy simulation. They will document their contributions on our VIP wiki later this semester.

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Anubha Mahajan presenting at the 2024 Sustainability Showcase at the BBISS

Created in March 08, 2024

2024

Our student Anubha Mahajan showcased her teams’ work this week at the Sustainability Showcase at the Brook Byers Institute for Sustainable Systems.

She and her team are currently working on a surrogate model of urban building energy simulation. They will document their contributions on our VIP wiki later this semester.

\ No newline at end of file diff --git a/news/announcement_2/index.html b/news/announcement_2/index.html index b4f325333e05..b124616ac13c 100644 --- a/news/announcement_2/index.html +++ b/news/announcement_2/index.html @@ -16,4 +16,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Announcement_2

Created in March 25, 2021

2021

Our article on predicting surface temperatures in large urban models was published. Please take a look here.

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Announcement_2

Created in March 25, 2021

2021

Our article on predicting surface temperatures in large urban models was published. Please take a look here.

\ No newline at end of file diff --git a/news/announcement_20/index.html b/news/announcement_20/index.html index 661739b9aea6..0916afc0ab0d 100644 --- a/news/announcement_20/index.html +++ b/news/announcement_20/index.html @@ -16,4 +16,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Maryam Almaian presenting at the Kendeda Micro Grant Symposium

Created in April 12, 2024

2024

Our student Maryam Almaian secured a $500 Kendeda Micro Grant from the Brook Byers Institute for Sustainable Systems. We used the funds to run validations on for a heat transfer toolkit she’s building as part of her master’s thesis at Georgia Tech. See her LinkedIn post here.

Thank you to the Kendeda board and Brook Byers Institute for Sustainable Systems for their generous support.

Congrats again, Maryam!

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Maryam Almaian presenting at the Kendeda Micro Grant Symposium

Created in April 12, 2024

2024

Our student Maryam Almaian secured a $500 Kendeda Micro Grant from the Brook Byers Institute for Sustainable Systems. We used the funds to run validations on for a heat transfer toolkit she’s building as part of her master’s thesis at Georgia Tech. See her LinkedIn post here.

Thank you to the Kendeda board and Brook Byers Institute for Sustainable Systems for their generous support.

Congrats again, Maryam!

\ No newline at end of file diff --git a/news/announcement_21/index.html b/news/announcement_21/index.html index c0b2d32e6f19..c8f44264e885 100644 --- a/news/announcement_21/index.html +++ b/news/announcement_21/index.html @@ -16,4 +16,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Silvia Vangelova recognized as Outstanding Teaching Assistant!

Created in April 27, 2024

2024

Silvia Vangelova was recognized as an Outstanding Teaching Assistant! Congrats, Silvia!

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Silvia Vangelova recognized as Outstanding Teaching Assistant!

Created in April 27, 2024

2024

Silvia Vangelova was recognized as an Outstanding Teaching Assistant! Congrats, Silvia!

\ No newline at end of file diff --git a/news/announcement_22/index.html b/news/announcement_22/index.html index b663b3fda8d7..ef0ae767178e 100644 --- a/news/announcement_22/index.html +++ b/news/announcement_22/index.html @@ -16,4 +16,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

SimBuild 2024 in Denver!

Created in May 24, 2024

2024

What a week it was at #SimBuild in Denver! Great to have made so many new connections, reunite with ESLab Cornell folks, and to see where all our Georgia Tech alumi ended up across the US and all around the globe!

Hung Ming Tseng, Amber Su, and Kewei Xu presented our research titled “Impact and Cost Analysis of Thermal Load Electrification Measures using Automated Urban Building Energy Modeling in Ithaca, NY” led by Timur Dogan.

I’m also happy to announce that the precursor Journal paper on this topic (essentially my postdoc) has just been accepted in is currently in production with Elsevier!

I also chaired a technical session on Grid Interactions and Distributed Energy Resources with awesome presentations by Maharshi Pathak, Daniel Villa, Tuğçin Kırant Mitić, Zhanwei He, Caitlin E Anderson.

Thank you to all organizers and I hope to see everyone again in Brisbane next summer!

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SimBuild 2024 in Denver!

Created in May 24, 2024

2024

What a week it was at #SimBuild in Denver! Great to have made so many new connections, reunite with ESLab Cornell folks, and to see where all our Georgia Tech alumi ended up across the US and all around the globe!

Hung Ming Tseng, Amber Su, and Kewei Xu presented our research titled “Impact and Cost Analysis of Thermal Load Electrification Measures using Automated Urban Building Energy Modeling in Ithaca, NY” led by Timur Dogan.

I’m also happy to announce that the precursor Journal paper on this topic (essentially my postdoc) has just been accepted in is currently in production with Elsevier!

I also chaired a technical session on Grid Interactions and Distributed Energy Resources with awesome presentations by Maharshi Pathak, Daniel Villa, Tuğçin Kırant Mitić, Zhanwei He, Caitlin E Anderson.

Thank you to all organizers and I hope to see everyone again in Brisbane next summer!

\ No newline at end of file diff --git a/news/announcement_23/index.html b/news/announcement_23/index.html index d71120848a73..f690dff7c6b3 100644 --- a/news/announcement_23/index.html +++ b/news/announcement_23/index.html @@ -16,4 +16,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Sina and Maryam at IBPC 2024 in Toronto!

Created in July 31, 2024

2024

Maryam and Sina presented their work at IBPC2024 last week in Toronto. Congrats on three great talks!

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Sina and Maryam at IBPC 2024 in Toronto!

Created in July 31, 2024

2024

Maryam and Sina presented their work at IBPC2024 last week in Toronto. Congrats on three great talks!

\ No newline at end of file diff --git a/news/announcement_24/index.html b/news/announcement_24/index.html index 45d897c1c6a8..4db939d1b99d 100644 --- a/news/announcement_24/index.html +++ b/news/announcement_24/index.html @@ -16,4 +16,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Ze Yu, Sofia, and Silvia presenting at GNI2024 in Munich!

Created in September 12, 2024

2024

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Ze Yu, Sofia, and Silvia presenting at GNI2024 in Munich!

Created in September 12, 2024

2024

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Anubha, Jessica, and Jiayi presenting at GURC 2024!

Created in November 10, 2024

2024

Proud of my VIP-SMUR teams, two of which came together to present at the Georgia Undergraduate Research Conference at Oxford College of Emory University yesterday.

Anubha Mahajan, Jessica Hernandez, and Jiayi did a great job presenting their results. They were supported by an interdisciplinary team of architecture and computer science students who all collaborated to implement a machine learning model to predict building energy demand. They also explored how this can inform early design decisions and how it could be gamified to build intuition.

Looking forward to where they take this next semester. Great job everyone!

Full team: Anubha Mahajan, Jessica Hernandez, Jiayi Li, Shivam Patel, Joseph Mathew Aerathu, Sharmista Debnath, Kiana-Karla Layam, Han-Syun Shih, Hang Xu

A big thank you to the Georgia Tech VIP Program and the Georgia Tech School of Architecture for their support.

Photo Credits: Han-Syun Shih

Check out the LinkedIn post here.

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Anubha, Jessica, and Jiayi presenting at GURC 2024!

Created in November 10, 2024

2024

Proud of my VIP-SMUR teams, two of which came together to present at the Georgia Undergraduate Research Conference at Oxford College of Emory University yesterday.

Anubha Mahajan, Jessica Hernandez, and Jiayi did a great job presenting their results. They were supported by an interdisciplinary team of architecture and computer science students who all collaborated to implement a machine learning model to predict building energy demand. They also explored how this can inform early design decisions and how it could be gamified to build intuition.

Looking forward to where they take this next semester. Great job everyone!

Full team: Anubha Mahajan, Jessica Hernandez, Jiayi Li, Shivam Patel, Joseph Mathew Aerathu, Sharmista Debnath, Kiana-Karla Layam, Han-Syun Shih, Hang Xu

A big thank you to the Georgia Tech VIP Program and the Georgia Tech School of Architecture for their support.

Photo Credits: Han-Syun Shih

Check out the LinkedIn post here.

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Silvia presenting at SIGraDi 2024!

Created in November 14, 2024

2024

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Silvia presenting at SIGraDi 2024!

Created in November 14, 2024

2024

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Announcement_3

Created in March 31, 2021

2021

Chris Dawson from the College of Engineering interviewed me about my journey to becoming a Ph.D. student and my research at the ESLab.

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Announcement_3

Created in March 31, 2021

2021

Chris Dawson from the College of Engineering interviewed me about my journey to becoming a Ph.D. student and my research at the ESLab.

\ No newline at end of file diff --git a/news/announcement_4/index.html b/news/announcement_4/index.html index 4f699f365de1..df6e84c3d3cb 100644 --- a/news/announcement_4/index.html +++ b/news/announcement_4/index.html @@ -16,4 +16,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Announcement_4

Created in June 10, 2021

2021

I am happy to report that I passed my A Exam (Admission to Ph.D. Candidacy)!

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Announcement_4

Created in June 10, 2021

2021

I am happy to report that I passed my A Exam (Admission to Ph.D. Candidacy)!

\ No newline at end of file diff --git a/news/announcement_5/index.html b/news/announcement_5/index.html index aa9d7cd89f36..97743ebfe5a3 100644 --- a/news/announcement_5/index.html +++ b/news/announcement_5/index.html @@ -16,4 +16,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Announcement_5

Created in July 02, 2021

2021

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Announcement_5

Created in July 02, 2021

2021

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Announcement_6

Created in September 28, 2021

2021

I was invited back as a guest lecturer on the topic of urban wind flow as part of UPenn’s ARCH 753-001 Building Performance Simulation class. Thank you, Kit Elsworth, for the continued collaboration.

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Announcement_6

Created in September 28, 2021

2021

I was invited back as a guest lecturer on the topic of urban wind flow as part of UPenn’s ARCH 753-001 Building Performance Simulation class. Thank you, Kit Elsworth, for the continued collaboration.

\ No newline at end of file diff --git a/news/announcement_7/index.html b/news/announcement_7/index.html index 3e624e068e72..df40e4b180b1 100644 --- a/news/announcement_7/index.html +++ b/news/announcement_7/index.html @@ -16,4 +16,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Announcement_7

Created in November 22, 2021

2021

We just published our study on the relationship between outdoor thermal comfort and bike ridership in Cambridge, MA, led by Elizabeth Young. Great collaboration between Cornell, MIT, and TU Munich.

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Announcement_7

Created in November 22, 2021

2021

We just published our study on the relationship between outdoor thermal comfort and bike ridership in Cambridge, MA, led by Elizabeth Young. Great collaboration between Cornell, MIT, and TU Munich.

\ No newline at end of file diff --git a/news/announcement_8/index.html b/news/announcement_8/index.html index 8bfb5dafe295..0d6a16f37a3c 100644 --- a/news/announcement_8/index.html +++ b/news/announcement_8/index.html @@ -16,4 +16,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Announcement_8

Created in December 10, 2021

2021

We published our manuscript detailing our work on Eddy3D — a Rhino & Grasshopper plugin for outdoor thermal comfort analysis. Check it out here.

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Announcement_8

Created in December 10, 2021

2021

We published our manuscript detailing our work on Eddy3D — a Rhino & Grasshopper plugin for outdoor thermal comfort analysis. Check it out here.

\ No newline at end of file diff --git a/news/announcement_9/index.html b/news/announcement_9/index.html index c458a14a047e..0851a94da04d 100644 --- a/news/announcement_9/index.html +++ b/news/announcement_9/index.html @@ -16,4 +16,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Announcement_9

Created in March 08, 2022

2022

Our work on the Eddy3D Indoor module led by Zoe De Simone was acknowledged in “Insights & Innovation - Computational Science at the Forefront of a Changing World”, in this years’ annual publication by the Coalition of Academic Scientific Computing (CASC).

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Announcement_9

Created in March 08, 2022

2022

Our work on the Eddy3D Indoor module led by Zoe De Simone was acknowledged in “Insights & Innovation - Computational Science at the Forefront of a Changing World”, in this years’ annual publication by the Coalition of Academic Scientific Computing (CASC).

\ No newline at end of file diff --git a/news/index.html b/news/index.html index 8f54bf3ab92d..0e77fd9d8ba7 100644 --- a/news/index.html +++ b/news/index.html @@ -16,4 +16,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

News

Nov 14, 2024 Silvia presenting at SIGraDi 2024!
Nov 10, 2024 Anubha, Jessica, and Jiayi presenting at GURC 2024!
Sep 12, 2024 Ze Yu, Sofia, and Silvia presenting at GNI2024 in Munich!
Jul 31, 2024 Sina and Maryam at IBPC 2024 in Toronto!
May 24, 2024 SimBuild 2024 in Denver!
Apr 27, 2024 Silvia Vangelova recognized as Outstanding Teaching Assistant!
Apr 12, 2024 Maryam Almaian presenting at the Kendeda Micro Grant Symposium
Mar 08, 2024 Anubha Mahajan presenting at the 2024 Sustainability Showcase at the BBISS
Dec 15, 2023 Funding updates Fa23!
Aug 15, 2023 I joined Georgia Tech as an Assistant Professor! 🎉
Jun 29, 2023 Our paper “A GAN-based Surrogate Model for Instantaneous Urban Wind Flow Prediction” was accepted and has been published in Building and Environment!
May 08, 2023 Poster presentation at the Data-Driven Urban Tech Conference
Nov 17, 2022 Guest lecture at Thomas Jefferson University.
Sep 08, 2022 Successfully defended my Ph.D. thesis! 🎉
Sep 01, 2022 I will be defending my Ph.D. thesis soon, come join me!
May 24, 2022 I joined the Systems department at Cornell to teach a class on data-driven decision-making.
May 07, 2022 I was invited to serve as a panelist at the 2022 Cornell Systems Thinking conference. My colleagues and I will be discussing the analytical and synthetic power of DSRP structural predictions on innovation and discovery as well as how they might minimize cognitive bias.
Mar 08, 2022 Our work on the Eddy3D Indoor module led by Zoe De Simone was acknowledged in “Insights & Innovation - Computational Science at the Forefront of a Changing World”, in this years’ annual publication by the Coalition of Academic Scientific Computing (CASC).
Dec 10, 2021 We published our manuscript detailing our work on Eddy3D — a Rhino & Grasshopper plugin for outdoor thermal comfort analysis. Check it out here.
Nov 22, 2021 We just published our study on the relationship between outdoor thermal comfort and bike ridership in Cambridge, MA, led by Elizabeth Young. Great collaboration between Cornell, MIT, and TU Munich.
Sep 28, 2021 I was invited back as a guest lecturer on the topic of urban wind flow as part of UPenn’s ARCH 753-001 Building Performance Simulation class. Thank you, Kit Elsworth, for the continued collaboration.
Jul 02, 2021 The Cornell Chronicle published an article about our labs’ work on life in post-Covid-19 offices.
Jun 10, 2021 I am happy to report that I passed my A Exam (Admission to Ph.D. Candidacy)!
Mar 31, 2021 Chris Dawson from the College of Engineering interviewed me about my journey to becoming a Ph.D. student and my research at the ESLab.
Mar 25, 2021 Our article on predicting surface temperatures in large urban models was published. Please take a look here.
Feb 08, 2021 I am honored to guest lecture at UPenn today to share some of my research on Eddy3D. Thank you, Kit Elsworth and Saeran Vasanthakumar for this wonderful opportunity.
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News

Nov 14, 2024 Silvia presenting at SIGraDi 2024!
Nov 10, 2024 Anubha, Jessica, and Jiayi presenting at GURC 2024!
Sep 12, 2024 Ze Yu, Sofia, and Silvia presenting at GNI2024 in Munich!
Jul 31, 2024 Sina and Maryam at IBPC 2024 in Toronto!
May 24, 2024 SimBuild 2024 in Denver!
Apr 27, 2024 Silvia Vangelova recognized as Outstanding Teaching Assistant!
Apr 12, 2024 Maryam Almaian presenting at the Kendeda Micro Grant Symposium
Mar 08, 2024 Anubha Mahajan presenting at the 2024 Sustainability Showcase at the BBISS
Dec 15, 2023 Funding updates Fa23!
Aug 15, 2023 I joined Georgia Tech as an Assistant Professor! 🎉
Jun 29, 2023 Our paper “A GAN-based Surrogate Model for Instantaneous Urban Wind Flow Prediction” was accepted and has been published in Building and Environment!
May 08, 2023 Poster presentation at the Data-Driven Urban Tech Conference
Nov 17, 2022 Guest lecture at Thomas Jefferson University.
Sep 08, 2022 Successfully defended my Ph.D. thesis! 🎉
Sep 01, 2022 I will be defending my Ph.D. thesis soon, come join me!
May 24, 2022 I joined the Systems department at Cornell to teach a class on data-driven decision-making.
May 07, 2022 I was invited to serve as a panelist at the 2022 Cornell Systems Thinking conference. My colleagues and I will be discussing the analytical and synthetic power of DSRP structural predictions on innovation and discovery as well as how they might minimize cognitive bias.
Mar 08, 2022 Our work on the Eddy3D Indoor module led by Zoe De Simone was acknowledged in “Insights & Innovation - Computational Science at the Forefront of a Changing World”, in this years’ annual publication by the Coalition of Academic Scientific Computing (CASC).
Dec 10, 2021 We published our manuscript detailing our work on Eddy3D — a Rhino & Grasshopper plugin for outdoor thermal comfort analysis. Check it out here.
Nov 22, 2021 We just published our study on the relationship between outdoor thermal comfort and bike ridership in Cambridge, MA, led by Elizabeth Young. Great collaboration between Cornell, MIT, and TU Munich.
Sep 28, 2021 I was invited back as a guest lecturer on the topic of urban wind flow as part of UPenn’s ARCH 753-001 Building Performance Simulation class. Thank you, Kit Elsworth, for the continued collaboration.
Jul 02, 2021 The Cornell Chronicle published an article about our labs’ work on life in post-Covid-19 offices.
Jun 10, 2021 I am happy to report that I passed my A Exam (Admission to Ph.D. Candidacy)!
Mar 31, 2021 Chris Dawson from the College of Engineering interviewed me about my journey to becoming a Ph.D. student and my research at the ESLab.
Mar 25, 2021 Our article on predicting surface temperatures in large urban models was published. Please take a look here.
Feb 08, 2021 I am honored to guest lecture at UPenn today to share some of my research on Eddy3D. Thank you, Kit Elsworth and Saeran Vasanthakumar for this wonderful opportunity.
\ No newline at end of file diff --git a/projects/1_capstone/index.html b/projects/1_capstone/index.html index d18d3abf0796..7645f4458b85 100644 --- a/projects/1_capstone/index.html +++ b/projects/1_capstone/index.html @@ -30,4 +30,4 @@ } -

Contact

For any questions or inquiries, please contact Chinmay Rothe at crothe3@gatech.edu / chinmayrothe.25@gmail.com.

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Contact

For any questions or inquiries, please contact Chinmay Rothe at crothe3@gatech.edu / chinmayrothe.25@gmail.com.

\ No newline at end of file diff --git a/projects/1_misc/index.html b/projects/1_misc/index.html deleted file mode 100644 index e0f17676f499..000000000000 --- a/projects/1_misc/index.html +++ /dev/null @@ -1,33 +0,0 @@ - 3D Heat Transfer Analysis in Architectural Modeling | Sustainable Urban Systems Lab

3D Heat Transfer Analysis in Architectural Modeling

Silvia Vangelova

Abstract

As the global focus on sustainable building practices intensifies, architects face the challenge of designing structures that meet certain aesthetic and functional criteria while minimizing energy consumption. One critical aspect of achieving energy-efficient buildings is the selection of appropriate building materials with optimal thermal properties.

The tools and software to simulate 2D heat transfer are available, but often limited in their set of features and cost-prohibitive. The limitations of 2D heat transfer are the inability to simulate and explore complex geometry, corners, and full building envelope analysis. The integration of 3D thermal performance analysis into the architectural design process is an even more complex and underdeveloped area.

This thesis aims to address this gap by exploring the use of OpenFOAM to develop a user-friendly tool to simulate building-related heat transfer problems. The outcomes of this thesis aim to empower architects to make informed decisions about material selection, and their impact on energy efficiency, by seamlessly embedding it into the Rhino & Grasshopper CAD environment.

Presentation

Accompanying Conference Paper Presentation

Author

  • Name: Maryam Almaian

  • LinkedIn: Link

  • Institution: Georgia Institute of Technology

  • Program: M.S. ARCH (High Performance Buildings)

  • Advisor: Dr. Patrick Kastner

Repository Structure

  • Code/: Directory containing the code, scripts, or notebooks used in the research.

  • LaTeX/: Directory containing all LaTeX source files to compile the thesis.

  • README.md: This file, providing an overview of the thesis and repository.

Keywords

3D Heat Transfer, OpenFOAM 2306, Conjugate Heat Transfer, Thermal Bridging, Rhinoceros & Grasshopper, Parametric Architecture

Citation


-@mastersthesis{almaian2024heat,
-
-  title = {3D Heat Transfer Analysis in Architectural Modeling: A Case Study with OpenFOAM},
-
-  author = {Almaian, Maryam},
-
-  year = {2024},
-
-  school = {Georgia Institute of Technology},
-
-  type = {MS Thesis}
-
-}
-
-

Source

Link to this repository.

\ No newline at end of file diff --git a/projects/1_thesis/index.html b/projects/1_thesis/index.html index d4b06816b06e..cc33c1daed7a 100644 --- a/projects/1_thesis/index.html +++ b/projects/1_thesis/index.html @@ -30,4 +30,4 @@ } -

Source

Link to this repository.

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Source

Link to this repository.

\ No newline at end of file diff --git a/projects/2_capstone/index.html b/projects/2_capstone/index.html index cb3b561906a8..bbb2111d6d3a 100644 --- a/projects/2_capstone/index.html +++ b/projects/2_capstone/index.html @@ -28,4 +28,4 @@ } -

Contact

For any questions or inquiries, please contact Shruti Jadhav at sjadhav60@gatech.edu.

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Contact

For any questions or inquiries, please contact Shruti Jadhav at sjadhav60@gatech.edu.

\ No newline at end of file diff --git a/projects/2_thesis/index.html b/projects/2_thesis/index.html index cf4af98d2495..2dcfcb25ed3d 100644 --- a/projects/2_thesis/index.html +++ b/projects/2_thesis/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Architectural Intelligence—Harnessing AI for Design Intent

Luke Kratsios

Thesis Luke Kratsios


Abstract

This thesis investigates and develops state-of-the-art technologies in the field of generative content and examines how designers can leverage inherent training biases and input data to swiftly generate textures and imagery for use within the design process.

Ultimately, the developed workflows aid in formulating a cohesive project vision from early stages. By combining proceduralization, simplified modeling techniques, and intelligent masking, the design process accelerates. This not only enables the creation of high-quality renders but more importantly, encourages a nuanced approach to design thinking.

Research Question

How Can the Real-time Masking and Layering of AI-generated Imagery Be Used to Effectively Realize and Refine Design Intent?

Author

Advisors

  • Christopher Battaglia
  • Patrick Kastner
  • Donald Greenberg

Technical Consultants

  • John Wolford
  • Leul Tesfaye

Keywords

Architectural Intelligence, AI, Design Intent, Generative Content, Proceduralization, Intelligent Masking

Source

Link to the thesis.

Highlights

\ No newline at end of file +

Architectural Intelligence—Harnessing AI for Design Intent

Luke Kratsios

Thesis Luke Kratsios


Abstract

This thesis investigates and develops state-of-the-art technologies in the field of generative content and examines how designers can leverage inherent training biases and input data to swiftly generate textures and imagery for use within the design process.

Ultimately, the developed workflows aid in formulating a cohesive project vision from early stages. By combining proceduralization, simplified modeling techniques, and intelligent masking, the design process accelerates. This not only enables the creation of high-quality renders but more importantly, encourages a nuanced approach to design thinking.

Research Question

How Can the Real-time Masking and Layering of AI-generated Imagery Be Used to Effectively Realize and Refine Design Intent?

Author

Advisors

  • Christopher Battaglia
  • Patrick Kastner
  • Donald Greenberg

Technical Consultants

  • John Wolford
  • Leul Tesfaye

Keywords

Architectural Intelligence, AI, Design Intent, Generative Content, Proceduralization, Intelligent Masking

Source

Link to the thesis.

Highlights

\ No newline at end of file diff --git a/projects/3_capstone/index.html b/projects/3_capstone/index.html index 2ac4b5acc320..c360c9863efc 100644 --- a/projects/3_capstone/index.html +++ b/projects/3_capstone/index.html @@ -1,4 +1,4 @@ - LiDAR data for enriching open geospatial building datasets: implications for urban building energy modeling | Sustainable Urban Systems Lab

LiDAR data for enriching open geospatial building datasets: implications for urban building energy modeling

Silvia Vangelova

Introduction

Informed decision-making is critical to facilitating sustainable urban development as urban populations grow larger. Using geospatial data and energy simulation tools, Urban Building Energy Models (UBEM) can provide data-driven decision support for architects, urban planners, and energy policymakers. A crucial part of developing an accurate UBEM is the seamless integration of high-quality aerial light detection and ranging (LiDAR), digital elevation models (DEM), building stock, and weather data​. These data are fundamental for solar rooftop potential analysis and simulation-based energy consumption estimation​. In this study, we aim to streamline and optimize the creation of urban building models using publicly available datasets for the purpose of UBEM simulations. We do this by using an automated 3D model creation workflow that consists of requesting geospatial datasets via open APIs and processing these data using platform-independent software libraries.

Methodology

We propose a data enrichment pipeline that requests and processes the following datasets: pre-labeled LiDAR and DEM data from the USGS 3D Elevation Program (3DEP), and building footprint data from Open Street Maps (OSM) and Federal Emergency Management Agency (FEMA). We combine these data by using two common bounding box geodetic coordinates. Then, we separate the point cloud data based on point class as either ground, tree, or building and intersect the building points with the footprints. Afterward, we use basic Alpha Shape triangulation for reconstructing roofs, Efficient RANSAC to identify roof slope planes, and 3D Alpha Wrapping for reconstructing tree canopies as meshes. Finally, we reconstruct the DEM as mesh geometry and project the building footprints onto it. To estimate building height, we use the average difference between the projected building elevation and the corresponding LiDAR point z coordinates. Algorithms are developed in Python and are implemented as components in Grasshopper 3D for 3D model creation and as stand-alone methods in a Jupyter Notebook (available here on GitHub) for GeoJson generation.

Results

We have examined the city of Atlanta, GA, which represents common residential building types in the US. In cities such as Atlanta, where high vegetation is prevalent, it is difficult to infer building heights due to the density of pre-labeled vegetation points. We also observe that the FEMA dataset provides oversimplified building footprint geometry, but accurate building type information, while OSM buildings have better footprint geometry, but almost no height data. By merging both building datasets and estimating building height using LiDAR data at scale, especially in regions with high tree density, we aim to average out errors caused by vegetation occlusion.

Conclusion

In this study, we demonstrate how streamlining data collection and processing can expedite the preparation of UBEM inputs. A major limitation of this approach is that it is difficult to achieve a high level of detail, as aerial LiDAR data mainly captures the roofs of buildings. One possible solution would be to use street view imagery to gather additional insight into façade materials and characteristics such as window-to-wall ratio. Future work could involve measuring how geometry reconstruction quality affects UBEM simulation accuracy and finding which spatial properties of the urban landscape influence results.

Author

  • Name: Silvia Vangelova

  • LinkedIn: Link

  • Institution: Georgia Institute of Technology

  • Program: M.S. Analytics (OMSA)

  • Advisor: Dr. Patrick Kastner

Repository Structure

  • data/: Directory containing the data used in this Notebook

  • images/: Directory containing images produces from running the Notebook

  • README.md: This file, providing an overview of the thesis and repository.

Instructions for reconstructing mesh geometry in Jupyter Notebook

Environment set-up:

  • python -m venv env

  • env\Scripts\activate

  • pip install -r requirements.txt

Source

Link to this repository.

\ No newline at end of file +

LiDAR data for enriching open geospatial building datasets

Silvia Vangelova

Introduction

Informed decision-making is critical to facilitating sustainable urban development as urban populations grow larger. Using geospatial data and energy simulation tools, Urban Building Energy Models (UBEM) can provide data-driven decision support for architects, urban planners, and energy policymakers. A crucial part of developing an accurate UBEM is the seamless integration of high-quality aerial light detection and ranging (LiDAR), digital elevation models (DEM), building stock, and weather data​. These data are fundamental for solar rooftop potential analysis and simulation-based energy consumption estimation​. In this study, we aim to streamline and optimize the creation of urban building models using publicly available datasets for the purpose of UBEM simulations. We do this by using an automated 3D model creation workflow that consists of requesting geospatial datasets via open APIs and processing these data using platform-independent software libraries.

Methodology

We propose a data enrichment pipeline that requests and processes the following datasets: pre-labeled LiDAR and DEM data from the USGS 3D Elevation Program (3DEP), and building footprint data from Open Street Maps (OSM) and Federal Emergency Management Agency (FEMA). We combine these data by using two common bounding box geodetic coordinates. Then, we separate the point cloud data based on point class as either ground, tree, or building and intersect the building points with the footprints. Afterward, we use basic Alpha Shape triangulation for reconstructing roofs, Efficient RANSAC to identify roof slope planes, and 3D Alpha Wrapping for reconstructing tree canopies as meshes. Finally, we reconstruct the DEM as mesh geometry and project the building footprints onto it. To estimate building height, we use the average difference between the projected building elevation and the corresponding LiDAR point z coordinates. Algorithms are developed in Python and are implemented as components in Grasshopper 3D for 3D model creation and as stand-alone methods in a Jupyter Notebook (available here on GitHub) for GeoJson generation.

Results

We have examined the city of Atlanta, GA, which represents common residential building types in the US. In cities such as Atlanta, where high vegetation is prevalent, it is difficult to infer building heights due to the density of pre-labeled vegetation points. We also observe that the FEMA dataset provides oversimplified building footprint geometry, but accurate building type information, while OSM buildings have better footprint geometry, but almost no height data. By merging both building datasets and estimating building height using LiDAR data at scale, especially in regions with high tree density, we aim to average out errors caused by vegetation occlusion.

Conclusion

In this study, we demonstrate how streamlining data collection and processing can expedite the preparation of UBEM inputs. A major limitation of this approach is that it is difficult to achieve a high level of detail, as aerial LiDAR data mainly captures the roofs of buildings. One possible solution would be to use street view imagery to gather additional insight into façade materials and characteristics such as window-to-wall ratio. Future work could involve measuring how geometry reconstruction quality affects UBEM simulation accuracy and finding which spatial properties of the urban landscape influence results.

Author

  • Name: Silvia Vangelova

  • LinkedIn: Link

  • Institution: Georgia Institute of Technology

  • Program: M.S. Analytics (OMSA)

  • Advisor: Dr. Patrick Kastner

Repository Structure

  • data/: Directory containing the data used in this Notebook

  • images/: Directory containing images produces from running the Notebook

  • README.md: This file, providing an overview of the thesis and repository.

Instructions for reconstructing mesh geometry in Jupyter Notebook

Environment set-up:

  • python -m venv env

  • env\Scripts\activate

  • pip install -r requirements.txt

Source

Link to this repository.

\ No newline at end of file diff --git a/projects/3_thesis/index.html b/projects/3_thesis/index.html index 4cac3b94d027..894b09ff62c2 100644 --- a/projects/3_thesis/index.html +++ b/projects/3_thesis/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Urban Vital Signs

Daniel Halstead

Thesis Daniel Halstead


Abstract

In healthcare, one of the key indicators used to diagnose patients are vital signs. This data is gathered on the individual scale, and used to determine appropriate treatments, but as technology has developed, more public accessible healthcare data is available than ever before. My project proposes using this same diagnostic technique, computing data, and assessing interventions, at the scale of a city. Given the prevalence of data gathering in medicine, how can we generate community based medical interventions to create a more equitable healthcare system.

Author

  • Name: Daniel Halstead
  • LinkedIn: Link
  • Institution: Cornell AAP
  • Program: B.Arch

Advisors

Keywords

Public Health, GIS, NYCHA

Source

N/A

\ No newline at end of file +

Urban Vital Signs

Daniel Halstead

Thesis Daniel Halstead


Abstract

In healthcare, one of the key indicators used to diagnose patients are vital signs. This data is gathered on the individual scale, and used to determine appropriate treatments, but as technology has developed, more public accessible healthcare data is available than ever before. My project proposes using this same diagnostic technique, computing data, and assessing interventions, at the scale of a city. Given the prevalence of data gathering in medicine, how can we generate community based medical interventions to create a more equitable healthcare system.

Author

  • Name: Daniel Halstead
  • LinkedIn: Link
  • Institution: Cornell AAP
  • Program: B.Arch

Advisors

Keywords

Public Health, GIS, NYCHA

Source

N/A

\ No newline at end of file diff --git a/projects/4_capstone/index.html b/projects/4_capstone/index.html index f30c4d3d2e8f..f8b38b258a9d 100644 --- a/projects/4_capstone/index.html +++ b/projects/4_capstone/index.html @@ -15,7 +15,7 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Assessing Solar Potential of Buildings Using LiDAR and Footprint Data

Silvia Vangelova

Abstract

The mass adoption of building-integrated photovoltaics (BIPV) emerges as a promising solution for reducing global greenhouse gas (GHG) emissions. However, using such systems to achieve net zero operational energy at the urban scale requires evaluating the solar potential of thousands of buildings which poses many challenges concerning data availability, quality, and privacy. To address these issues, we present an automated end-to-end framework for querying, combining, and processing publicly available aerial Light Detection and Ranging (LiDAR) and Building Footprint data. Using open-source algorithms for geometry reconstruction and solar radiation analysis, we show how to estimate the maximum annual direct current (DC) electricity yield per building. This framework is designed to enable urban planners, developers, and architects to assess the solar potential of neighborhoods and cities in an accessible way. By enabling effective communication of results, it can help optimize resource allocation and benefit solar adoption initiatives.

Keywords

BIPV, Performance-based design, Photovoltaic potential, Spatial data processing, Renewable energy, Urban planning

Author

  • Name: Silvia Vangelova

  • LinkedIn: Link

  • Institution: Georgia Institute of Technology

  • Program: M.S. Analytics (OMSA)

  • Advisor: Dr. Patrick Kastner

Repository Structure

  • Code/: Directory containing the code, scripts, or notebooks used in the research.

    • Grasshopper/: Directory containing the grasshopper definition

      • data/: Directory containing data for the grasshoper script

    • Notebooks/: Directory containing notebooks

      • images/: Directory containing images produces from running the Notebooks

      • data/: Directory for storing data produced from running the Notebooks

  • Resources/: Directory containing images used in this README.md file.

  • README.md: This file, providing an overview of the thesis and repository.

Instructions for reconstructing mesh geometry in Jupyter Notebook

Environment set-up:

  • python -m venv env

  • env\Scripts\activate

  • pip install -r requirements.txt

Running the Solar Potential Analysis script in Grasshopper instructions

The grasshopper definition is developed in Rhino 8 SR10 (8.10.24228.13001, 2024-08-15) on Windows. For this version, there are certain issues when importing pandas (see forum discussion here)

  1. Before starting Grasshopper make, sure to open the ScriptEditor and run the following script to import numpy, pandas, and laspy:

    Code snippet:

    
+                
      
     
     
     
     
    Assessing Solar Potential of Buildings Using LiDAR and Footprint Data
     
    Silvia Vangelova
     
     
     
     
    Abstract
     
    The mass adoption of building-integrated photovoltaics (BIPV) emerges as a promising solution for reducing global greenhouse gas (GHG) emissions. However, using such systems to achieve net zero operational energy at the urban scale requires evaluating the solar potential of thousands of buildings which poses many challenges concerning data availability, quality, and privacy. To address these issues, we present an automated end-to-end framework for querying, combining, and processing publicly available aerial Light Detection and Ranging (LiDAR) and Building Footprint data. Using open-source algorithms for geometry reconstruction and solar radiation analysis, we show how to estimate the maximum annual direct current (DC) electricity yield per building. This framework is designed to enable urban planners, developers, and architects to assess the solar potential of neighborhoods and cities in an accessible way. By enabling effective communication of results, it can help optimize resource allocation and benefit solar adoption initiatives.
     
    Keywords
     
    BIPV, Performance-based design, Photovoltaic potential, Spatial data processing, Renewable energy, Urban planning
     
    Author
     
       
    •  
      Name: Silvia Vangelova
       
      •  
    •  
      LinkedIn: Link
       
      •  
    •  
      Institution: Georgia Institute of Technology
       
      •  
    •  
      Program: M.S. Analytics (OMSA)
       
      •  
    •  
      Advisor: Dr. Patrick Kastner
       
      •  
     
    Repository Structure
     
       
    •  
      Code/: Directory containing the code, scripts, or notebooks used in the research.
       
         
      •  
        Grasshopper/: Directory containing the grasshopper definition
         
           
        •  data/: Directory containing data for the grasshoper script
          •  
         
        •  
      •  
        Notebooks/: Directory containing notebooks
         
           
        •  
          images/: Directory containing images produces from running the Notebooks
           
          •  
        •  
          data/: Directory for storing data produced from running the Notebooks
           
          •  
         
        •  
       
      •  
    •  
      Resources/: Directory containing images used in this README.md file.
       
      •  
    •  
      README.md: This file, providing an overview of the thesis and repository.
       
      •  
     
    Instructions for reconstructing mesh geometry in Jupyter Notebook
     
    Environment set-up:
     
       
    •  
      python -m venv env
       
      •  
    •  
      env\Scripts\activate
       
      •  
    •  
      pip install -r requirements.txt
       
      •  
     
    Running the Solar Potential Analysis script in Grasshopper instructions
     
     
    The grasshopper definition is developed in Rhino 8 SR10 (8.10.24228.13001, 2024-08-15) on Windows. For this version, there are certain issues when importing pandas (see forum discussion here)
     
       
    1.  
      Before starting Grasshopper make, sure to open the ScriptEditor and run the following script to import numpy, pandas, and laspy:
       
       
       
      Code snippet:
       
       
      
  import locale
 
  import numpy
@@ -26,7 +26,7 @@
 
  import laspy
 
-
       
       
      2.  
    2.  
      To install Python packages in Rhino 8 you can either install them from the Terminal or use the # r: %package name% notation
       
      Using Terminal
       
         
      1.  
        Open command prompt
         
        2.  
      2.  
        Navigate to script environment, e.g. run: cd "C:\Users\%UserName%\.rhinocode\py39-rh8\Scripts"
         
        3.  
      3.  
        Instal packages, e.g. run pip install pandas
         
        4.  
       
      Using the # r: %package name% notation:
       
       
      See also this tutorial for using packages in Rhino 8
       
      3.  
    3.  
      To run the script make sure the following packages are installed and can be imported properly:
       
       
      
+
       
       
      4.  
    4.  
      To install Python packages in Rhino 8 you can either install them from the Terminal or use the # r: %package name% notation
       
      Using Terminal
       
         
      1.  
        Open command prompt
         
        2.  
      2.  
        Navigate to script environment, e.g. run: cd "C:\Users\%UserName%\.rhinocode\py39-rh8\Scripts"
         
        3.  
      3.  
        Instal packages, e.g. run pip install pandas
         
        4.  
       
      Using the # r: %package name% notation:
       
       
      See also this tutorial for using packages in Rhino 8
       
      5.  
    5.  
      To run the script make sure the following packages are installed and can be imported properly:
       
       
      
  rasterio
 
  laspy
@@ -72,4 +72,4 @@
 
 }
 
-
       
      Source
       
      Link to this repository.
       
     
     
     
     
     © Copyright 2024 Sustainable Urban Systems Lab. Design credits. Last updated: December 26, 2024. 
     
                             
\ No newline at end of file
+

    Source

    Link to this repository.

\ No newline at end of file diff --git a/publications/index.html b/publications/index.html index cf498e87b5f9..6404d4cb1c6c 100644 --- a/publications/index.html +++ b/publications/index.html @@ -182,4 +182,4 @@ year = {2012}, journal = {B.S. Thesis --- University of Erlangen-Nuremberg (FAU)}, doi = {10.13140/rg.2.2.26080.81920}, -} \ No newline at end of file +} \ No newline at end of file diff --git a/sitemap.xml b/sitemap.xml index 5f19910f003f..1753c5ada9ae 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -1 +1 @@ - https://sustainableurbansystemslab.github.io//news/announcement_1/ 2021-02-08T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_2/ 2021-03-25T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_3/ 2021-03-31T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_4/ 2021-06-10T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_5/ 2021-07-02T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_6/ 2021-09-28T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_7/ 2021-11-22T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_8/ 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https://sustainableurbansystemslab.github.io//teaching/gt-arch-8833/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//teaching/gt-vip-vyh/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/aerathu/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/almaian/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/beesen/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/bernal/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/changnawa/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/cohen/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/dogan/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/gomez/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/haas/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/hernandez/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/jadhav/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/jiang/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/kastner/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/ku/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/lim/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/ma/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/mahajan/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/martinez_mori/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/mondal/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/mujica/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/patel/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/rahimi/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/rothe/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/shi/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/shih/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/sprague/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/troxell/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/vangelova/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/vegas/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io//team/xu/ 2024-12-26T10:55:13+00:00 https://sustainableurbansystemslab.github.io// https://sustainableurbansystemslab.github.io//code/ https://sustainableurbansystemslab.github.io//join/ https://sustainableurbansystemslab.github.io//news/ https://sustainableurbansystemslab.github.io//publications/ https://sustainableurbansystemslab.github.io//_pages/research/research/ https://sustainableurbansystemslab.github.io//teaching/ https://sustainableurbansystemslab.github.io//team/ https://sustainableurbansystemslab.github.io//theses/ https://sustainableurbansystemslab.github.io//blog/ \ No newline at end of file + https://sustainableurbansystemslab.github.io//news/announcement_1/ 2021-02-08T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_2/ 2021-03-25T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_3/ 2021-03-31T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_4/ 2021-06-10T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_5/ 2021-07-02T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_6/ 2021-09-28T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_7/ 2021-11-22T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_8/ 2021-12-10T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_9/ 2022-03-08T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_10/ 2022-05-07T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_11/ 2022-05-24T23:00:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_12/ 2022-09-01T20:11:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_13/ 2022-09-08T20:11:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_14/ 2022-11-17T20:11:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_15/ 2023-05-08T20:11:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_16/ 2023-06-29T20:11:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_17/ 2023-08-15T20:11:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_18/ 2023-12-15T20:11:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_19/ 2024-03-08T20:11:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_20/ 2024-04-12T20:11:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_21/ 2024-04-27T20:11:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_22/ 2024-05-24T20:11:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_23/ 2024-07-31T20:11:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_24/ 2024-09-12T20:11:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_25/ 2024-11-10T20:11:00+00:00 https://sustainableurbansystemslab.github.io//news/announcement_26/ 2024-11-14T20:11:00+00:00 https://sustainableurbansystemslab.github.io//projects/1_capstone/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//projects/1_thesis/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//projects/2_capstone/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//projects/2_thesis/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//projects/3_capstone/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//projects/3_thesis/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//projects/4_capstone/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//teaching/cu-arch-5616/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//teaching/cu-sysen-5160/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//teaching/gt-arch-6242/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//teaching/gt-arch-7014/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//teaching/gt-arch-7030/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//teaching/gt-arch-8833/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//teaching/gt-vip-vyh/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/aerathu/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/almaian/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/beesen/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/bernal/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/changnawa/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/cohen/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/dogan/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/gomez/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/haas/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/hernandez/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/jadhav/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/jiang/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/kastner/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/ku/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/lim/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/ma/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/mahajan/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/martinez_mori/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/mondal/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/mujica/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/patel/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/rahimi/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/rothe/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/shi/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/shih/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/sprague/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/troxell/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/vangelova/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/vegas/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io//team/xu/ 2024-12-26T14:24:57+00:00 https://sustainableurbansystemslab.github.io// https://sustainableurbansystemslab.github.io//code/ https://sustainableurbansystemslab.github.io//join/ https://sustainableurbansystemslab.github.io//news/ https://sustainableurbansystemslab.github.io//publications/ https://sustainableurbansystemslab.github.io//_pages/research/research/ https://sustainableurbansystemslab.github.io//teaching/ https://sustainableurbansystemslab.github.io//team/ https://sustainableurbansystemslab.github.io//theses/ https://sustainableurbansystemslab.github.io//blog/ \ No newline at end of file diff --git a/teaching/cu-arch-5616/index.html b/teaching/cu-arch-5616/index.html index 3e5f6849c832..fc6a99c27308 100644 --- a/teaching/cu-arch-5616/index.html +++ b/teaching/cu-arch-5616/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

ARCH 5616

Environmental Systems II — Building Dynamics

This course examines the design and analysis of the building envelope, with a focus on the material and energetic transformations taking place at the boundary between architecture and environment. Topics include: comfort, building thermodynamics, envelope assemblies, thermal modeling, active and passive control systems, daylighting and architectural acoustics.

Course Listing

\ No newline at end of file +

ARCH 5616

Environmental Systems II — Building Dynamics

This course examines the design and analysis of the building envelope, with a focus on the material and energetic transformations taking place at the boundary between architecture and environment. Topics include: comfort, building thermodynamics, envelope assemblies, thermal modeling, active and passive control systems, daylighting and architectural acoustics.

Course Listing

\ No newline at end of file diff --git a/teaching/cu-sysen-5160/index.html b/teaching/cu-sysen-5160/index.html index 8c398b6f88da..08e54e9d1b88 100644 --- a/teaching/cu-sysen-5160/index.html +++ b/teaching/cu-sysen-5160/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

SYSEN 5160

Managing & Modeling Complex Systems for Organizational Leaders

A collection of links to Streamlit apps and Medium posts for the SYSEN 5160 final projects.

pages-build-deployment Check Links (Cron)

SYSEN 5160 — Managing & Modeling Complex Systems for Organizational Leaders

SYSEN 5160 is designed to teach organizational leaders how to manage and model complex systems using data-driven decision-making. Through hands-on projects, students will learn to develop a decision-making tool using Python and Streamlit. The course emphasizes mathematical, statistical, and computational models and covers a range of topics, such as stakeholder analysis, brainstorming methods, system architecture evaluation, optimization, and real-world decision-making examples.

The course is structured around lectures, five homework assignments, and a semester-long group project. Homework assignments consist of coding exercises and open-ended essay prompts to help students prepare for the final group project. The final project requires students to develop a decision-making case study using Streamlit, a short Medium post, a concise project report, and a group presentation.

Final Projects

Spring 2022

Icon / Graphical Abstract Project Title Headline Blog Post Streamlit App / Source Contributors [Mail|LinkedIn]
A Smart Supply Chain Wizard A great tool will help the company better manage the supply chain Supply Chain Wizard App / Repo Sijie Chen [M|L]
Donghao Huang [M]
Fernando Celaya [M|L]
Keshan Chen [M]
Happy, Healthy, & You A customized nutrition & fitness planner app Health & Fitness with a click of a button App / Repo Jamie Donahue [M|L]
NEM Metering Pricing Tool A tool for consumers and utilities to calculate savins under new NEM pricing policies. NEM Pricing Tool: A Streamlit App App / Repo Henry Harwood [M|L]
Sports Prediction App An app with a novel approach to making sports picks NFL Game Picks through Optimization App / Repo Colby Hawker [M] 
Kevin Lee [M]
Graduation Requirement Validator Cornell ECEs can do everything, except understand all graduation requirements. Using the graduation requirements validator, we can improve the lives of both ECE students and faculty. Graduation Requirement Validator App / Repo Ronin Sharma [M|L]
Loan Application Assistant App A Great App to Help You with Loan Applications Loan Application Assistant App / Repo Susan Wu [M]
Xinzhu Wang [M|L]
Yuchen Tang [M]
VroomVroom An app to sell your car using data! VroomVroom: Sell Your Car With Data App / Repo Sushant Gadgil [M|L]
Isabel Richter [M|L]
Mariya Tasnim [M|L]

Misc

Class Roster - Spring 2022 - SYSEN 5160

\ No newline at end of file +

SYSEN 5160

Managing & Modeling Complex Systems for Organizational Leaders

A collection of links to Streamlit apps and Medium posts for the SYSEN 5160 final projects.

pages-build-deployment Check Links (Cron)

SYSEN 5160 — Managing & Modeling Complex Systems for Organizational Leaders

SYSEN 5160 is designed to teach organizational leaders how to manage and model complex systems using data-driven decision-making. Through hands-on projects, students will learn to develop a decision-making tool using Python and Streamlit. The course emphasizes mathematical, statistical, and computational models and covers a range of topics, such as stakeholder analysis, brainstorming methods, system architecture evaluation, optimization, and real-world decision-making examples.

The course is structured around lectures, five homework assignments, and a semester-long group project. Homework assignments consist of coding exercises and open-ended essay prompts to help students prepare for the final group project. The final project requires students to develop a decision-making case study using Streamlit, a short Medium post, a concise project report, and a group presentation.

Final Projects

Spring 2022

Icon / Graphical Abstract Project Title Headline Blog Post Streamlit App / Source Contributors [Mail|LinkedIn]
A Smart Supply Chain Wizard A great tool will help the company better manage the supply chain Supply Chain Wizard App / Repo Sijie Chen [M|L]
Donghao Huang [M]
Fernando Celaya [M|L]
Keshan Chen [M]
Happy, Healthy, & You A customized nutrition & fitness planner app Health & Fitness with a click of a button App / Repo Jamie Donahue [M|L]
NEM Metering Pricing Tool A tool for consumers and utilities to calculate savins under new NEM pricing policies. NEM Pricing Tool: A Streamlit App App / Repo Henry Harwood [M|L]
Sports Prediction App An app with a novel approach to making sports picks NFL Game Picks through Optimization App / Repo Colby Hawker [M] 
Kevin Lee [M]
Graduation Requirement Validator Cornell ECEs can do everything, except understand all graduation requirements. Using the graduation requirements validator, we can improve the lives of both ECE students and faculty. Graduation Requirement Validator App / Repo Ronin Sharma [M|L]
Loan Application Assistant App A Great App to Help You with Loan Applications Loan Application Assistant App / Repo Susan Wu [M]
Xinzhu Wang [M|L]
Yuchen Tang [M]
VroomVroom An app to sell your car using data! VroomVroom: Sell Your Car With Data App / Repo Sushant Gadgil [M|L]
Isabel Richter [M|L]
Mariya Tasnim [M|L]

Misc

Class Roster - Spring 2022 - SYSEN 5160

\ No newline at end of file diff --git a/teaching/gt-arch-6242/index.html b/teaching/gt-arch-6242/index.html index bcccba9f7f42..16f36557869f 100644 --- a/teaching/gt-arch-6242/index.html +++ b/teaching/gt-arch-6242/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

ARCH 6242

Building Physics Modeling

Survey of basic thermo-fluid energy and mass flows in buildings, the interrelations between these flows, physical system modeling, and implications for building performance goals.

Excerpt of student work by Sabontu Tuse.

\ No newline at end of file +

ARCH 6242

Building Physics Modeling

Survey of basic thermo-fluid energy and mass flows in buildings, the interrelations between these flows, physical system modeling, and implications for building performance goals.

Excerpt of student work by Sabontu Tuse.

\ No newline at end of file diff --git a/teaching/gt-arch-7014/index.html b/teaching/gt-arch-7014/index.html index 2655280b009e..9851b04d53dd 100644 --- a/teaching/gt-arch-7014/index.html +++ b/teaching/gt-arch-7014/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

ARCH 7014

Urban Design Studio II — Downtown Doraville 2050

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ARCH 7014

Urban Design Studio II — Downtown Doraville 2050

\ No newline at end of file diff --git a/teaching/gt-arch-7030/index.html b/teaching/gt-arch-7030/index.html index d59e593ada08..0b3ff7ef58ab 100644 --- a/teaching/gt-arch-7030/index.html +++ b/teaching/gt-arch-7030/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

ARCH 7030

Data-driven Methods for Design and Sustainability

Summary

This research elective is designed for students interested in deepening their understanding of data- driven methods in architecture with an emphasis on sustainability. The course blends seminar and workshop formats, featuring input lectures from guest speakers in academia and industry. The topics range from environmental performance to augmented intelligence in design.

Deliverables

Students will work on a hand-on project to analyze complex sustainability-related phenomena, such as energy consumption, mobility patterns, thermal comfort, daylighting, well-being, and quality of space. To this end, students will develop an individual research question that they will answer with a data-driven approach, developed over the semester. The final deliverable is an

  1. implementation of their approach (using Rhino, Grasshopper, C#, Python, Javascript)
  2. conference-ready manuscript / slide deck where processes, findings, and conclusions are documented.

Prerequisites

Students should have intermediate to advanced digital skills and prior experience in environmental systems and computational design, as the course skips introductory workshops in favor of a more technical focus. Experience with Python/C# will be advantageous but is not required. The teaching methodology will emphasize evidence-based design, variant testing, and evaluation using existing and custom- built computational tools. The course fosters a collaborative learning environment, encouraging students to work with curiosity and rigor as they develop new tools and insights collective

Student Work

End of the Year Showcase Spring 2024

\ No newline at end of file +

ARCH 7030

Data-driven Methods for Design and Sustainability

Summary

This research elective is designed for students interested in deepening their understanding of data- driven methods in architecture with an emphasis on sustainability. The course blends seminar and workshop formats, featuring input lectures from guest speakers in academia and industry. The topics range from environmental performance to augmented intelligence in design.

Deliverables

Students will work on a hand-on project to analyze complex sustainability-related phenomena, such as energy consumption, mobility patterns, thermal comfort, daylighting, well-being, and quality of space. To this end, students will develop an individual research question that they will answer with a data-driven approach, developed over the semester. The final deliverable is an

  1. implementation of their approach (using Rhino, Grasshopper, C#, Python, Javascript)
  2. conference-ready manuscript / slide deck where processes, findings, and conclusions are documented.

Prerequisites

Students should have intermediate to advanced digital skills and prior experience in environmental systems and computational design, as the course skips introductory workshops in favor of a more technical focus. Experience with Python/C# will be advantageous but is not required. The teaching methodology will emphasize evidence-based design, variant testing, and evaluation using existing and custom- built computational tools. The course fosters a collaborative learning environment, encouraging students to work with curiosity and rigor as they develop new tools and insights collective

Student Work

End of the Year Showcase Spring 2024

\ No newline at end of file diff --git a/teaching/gt-arch-8833/index.html b/teaching/gt-arch-8833/index.html index b789769f1680..25c27ae6ebaa 100644 --- a/teaching/gt-arch-8833/index.html +++ b/teaching/gt-arch-8833/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

ARCH 8833

Integrated Building Systems 1

More info coming soon.

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ARCH 8833

Integrated Building Systems 1

More info coming soon.

\ No newline at end of file diff --git a/teaching/gt-vip-vyh/index.html b/teaching/gt-vip-vyh/index.html index c0d34765a638..c7b9e3ae3f16 100644 --- a/teaching/gt-vip-vyh/index.html +++ b/teaching/gt-vip-vyh/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

VIP SMUR

Surrogate Modeling for Urban Regeneration

\ No newline at end of file +

VIP SMUR

Surrogate Modeling for Urban Regeneration

\ No newline at end of file diff --git a/teaching/index.html b/teaching/index.html index 74f033b6f9e4..35904916d48e 100644 --- a/teaching/index.html +++ b/teaching/index.html @@ -1,4 +1,4 @@ - Teaching | Sustainable Urban Systems Lab

Teaching

Listed below are my past and current teaching engagements.

\ No newline at end of file +

Teaching

Listed below are our past and current teaching engagements.

\ No newline at end of file diff --git a/team/aerathu/index.html b/team/aerathu/index.html index 904ce9dc782f..13dfc2f39703 100644 --- a/team/aerathu/index.html +++ b/team/aerathu/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Joseph Aerathu

MS in Architecture (High Performance Building)

\ No newline at end of file +

Joseph Aerathu

MS in Architecture (High Performance Building)

\ No newline at end of file diff --git a/team/almaian/index.html b/team/almaian/index.html index 81dfb9154a64..66d3c4144010 100644 --- a/team/almaian/index.html +++ b/team/almaian/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Maryam Almaian

MS in Architecture (High Performance Building)


After graduating from her MS in Architecture with a thesis specialization in High Performance Building at Georgia Tech, Maryam went on to become a research associate at NREL.

\ No newline at end of file +

Maryam Almaian

MS in Architecture (High Performance Building)


After graduating from her MS in Architecture with a thesis specialization in High Performance Building at Georgia Tech, Maryam accepted a position as a research associate at NREL.

\ No newline at end of file diff --git a/team/beesen/index.html b/team/beesen/index.html index 4a512d45cc50..16b2f4897f5b 100644 --- a/team/beesen/index.html +++ b/team/beesen/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Atharva Beesen

Computer Science

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Atharva Beesen

Computer Science

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Dr. Marcelo Bernal

Director Design Process Lab at Perkins&Will

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Dr. Marcelo Bernal

Director Design Process Lab at Perkins&Will

\ No newline at end of file diff --git a/team/changnawa/index.html b/team/changnawa/index.html index a8f622d10550..6055b4591d20 100644 --- a/team/changnawa/index.html +++ b/team/changnawa/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Thanasarn Changnawa

PhD Student in Architecture

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Thanasarn Changnawa

PhD Student in Architecture

\ No newline at end of file diff --git a/team/cohen/index.html b/team/cohen/index.html index ded8d5d9e989..b8255a550995 100644 --- a/team/cohen/index.html +++ b/team/cohen/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Joshua Cohen

Civil Engineering

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Joshua Cohen

Civil Engineering

\ No newline at end of file diff --git a/team/dogan/index.html b/team/dogan/index.html index 9bfe6ef01690..73c179115bae 100644 --- a/team/dogan/index.html +++ b/team/dogan/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Dr. Timur Dogan

Associate Professor at Cornell University

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Dr. Timur Dogan

Associate Professor at Cornell University

\ No newline at end of file diff --git a/team/gomez/index.html b/team/gomez/index.html index 2e22b5294915..7aa2dc030d75 100644 --- a/team/gomez/index.html +++ b/team/gomez/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Dr. Paula Gomez

Senior Research Engineer at GTRI

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Dr. Paula Gomez

Senior Research Engineer at GTRI

\ No newline at end of file diff --git a/team/haas/index.html b/team/haas/index.html index 566b23728a27..4fb2a7c10bb8 100644 --- a/team/haas/index.html +++ b/team/haas/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Dr. Shalaila Haas

Assistant Professor at Mt. Sinai


Shalaila S. Haas is a cognitive neuroscientist with a specialization in implementing advanced machine learning techniques to identify links between behavioral patterns and neural signatures. Her work is particularly focused on the identification, prognosis, and prediction of treatment response primarily in psychosis spectrum disorders.

She is currently an Instructor in the Department of Psychiatry at the Icahn School of Medicine at Mount Sinai in New York City. After a clinically-oriented B.A. in Psychology from U.C. Berkeley and a methodologically-focused M.Sc. in Neuro-Cognitive Psychology, from the Ludwig-Maximilians University (LMU) in Munich, Germany she went on to receive a Ph.D. in Translational Psychiatry from the International Max Planck Research School.

Her research aims to unravel the underlying mechanisms that drive the heterogeneity in clinical presentation and progression of psychosis spectrum disorders. She also seeks to better understand mechanisms that contribute to accelerated aging and schizophrenia. This innovative research holds immense potential to advance our comprehension of these complex disorders, offering opportunities for advancing diagnostic and therapeutic strategies to alleviate suffering by either preventing the onset of psychosis or by improving the illness course.

Link to Website

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Dr. Shalaila Haas

Assistant Professor at Mt. Sinai


Shalaila S. Haas is a cognitive neuroscientist with a specialization in implementing advanced machine learning techniques to identify links between behavioral patterns and neural signatures. Her work is particularly focused on the identification, prognosis, and prediction of treatment response primarily in psychosis spectrum disorders.

She is currently an Instructor in the Department of Psychiatry at the Icahn School of Medicine at Mount Sinai in New York City. After a clinically-oriented B.A. in Psychology from U.C. Berkeley and a methodologically-focused M.Sc. in Neuro-Cognitive Psychology, from the Ludwig-Maximilians University (LMU) in Munich, Germany she went on to receive a Ph.D. in Translational Psychiatry from the International Max Planck Research School.

Her research aims to unravel the underlying mechanisms that drive the heterogeneity in clinical presentation and progression of psychosis spectrum disorders. She also seeks to better understand mechanisms that contribute to accelerated aging and schizophrenia. This innovative research holds immense potential to advance our comprehension of these complex disorders, offering opportunities for advancing diagnostic and therapeutic strategies to alleviate suffering by either preventing the onset of psychosis or by improving the illness course.

Link to Website

\ No newline at end of file diff --git a/team/hernandez/index.html b/team/hernandez/index.html index 27bbf480981c..b4368c99a7a0 100644 --- a/team/hernandez/index.html +++ b/team/hernandez/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Jessica Hernandez

Computer Science

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Jessica Hernandez

Computer Science

\ No newline at end of file diff --git a/team/index.html b/team/index.html index e1e2b31c8339..e50c9c0e04a3 100644 --- a/team/index.html +++ b/team/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Team

Current and previous members of the lab

Director

project thumbnail

Dr. Patrick Kastner

Assistant Professor and Director of the Sustainable Urban Systems Lab at Georgia Tech.

PhD

project thumbnail

Thanasarn Changnawa

PhD Student in Architecture
project thumbnail

Sina Rahimi

PhD Student in Building Science at TMU (co-advisee)
project thumbnail

Yichao Shi

PhD Student in Architecture (co-advisee)
project thumbnail

Gonzalo L. Vegas Olcese

PhD Student in Architecture (co-advisee)
project thumbnail

Hang Xu

PhD Student in Architecture

MS

project thumbnail

Joseph Aerathu

MS in Architecture (High Performance Building)
project thumbnail

Changda Ma

MS in Architecture
project thumbnail

Han-Syun (Benjamin) Shih

MS in Architecture (High Performance Building)

BS

project thumbnail

Atharva Beesen

Computer Science
project thumbnail

Joshua Cohen

Civil Engineering
project thumbnail

Jessica Hernandez

Computer Science
project thumbnail

Ze Yu Jiang

Computer Science and Math
project thumbnail

Matthew Lim

Computer Science
project thumbnail

Anubha Mahajan

Computer Science
project thumbnail

Devam Mondal

Computer Science
project thumbnail

Sofia Mujica

Mechanical Engineering
project thumbnail

Shivam Patel

Computer Science

Alumni

Maryam Almaian

MS in Architecture (High Performance Building)

Shruti Jadhav

MS in Architecture (High Performance Building)

Chinmay Rothe

MS in Architecture (High Performance Building)

Silvia Vangelova

MS in ISyE

Collaborators

project thumbnail

Dr. Marcelo Bernal

Director Design Process Lab at Perkins&Will
project thumbnail

Dr. Timur Dogan

Associate Professor at Cornell University
project thumbnail

Dr. Paula Gomez

Senior Research Engineer at GTRI
project thumbnail

Dr. Shalaila Haas

Assistant Professor at Mt. Sinai
project thumbnail

Dr. Benson Ku

Assistant Professor at Emory University
project thumbnail

Dr. J. Carlos Martinez Mori

PostDoc in ISyE at Georgia Tech
project thumbnail

Dr. Christian Sprague

Technical Program Manager at INCOSE
project thumbnail

Dr. Graeme Troxell

Postdoc at Colorado State University
\ No newline at end of file +

Team

Current and previous members of the lab

Director

project thumbnail

Dr. Patrick Kastner

Assistant Professor and Director of the Sustainable Urban Systems Lab at Georgia Tech.

PhD

project thumbnail

Thanasarn Changnawa

PhD Student in Architecture
project thumbnail

Sina Rahimi

PhD Student in Building Science at TMU (co-advisee)
project thumbnail

Yichao Shi

PhD Student in Architecture (co-advisee)
project thumbnail

Gonzalo L. Vegas Olcese

PhD Student in Architecture (co-advisee)
project thumbnail

Hang Xu

PhD Student in Architecture

MS

project thumbnail

Joseph Aerathu

MS in Architecture (High Performance Building)
project thumbnail

Changda Ma

MS in Architecture
project thumbnail

Han-Syun (Benjamin) Shih

MS in Architecture (High Performance Building)

BS

project thumbnail

Atharva Beesen

Computer Science
project thumbnail

Joshua Cohen

Civil Engineering
project thumbnail

Jessica Hernandez

Computer Science
project thumbnail

Ze Yu Jiang

Computer Science and Math
project thumbnail

Matthew Lim

Computer Science
project thumbnail

Anubha Mahajan

Computer Science
project thumbnail

Devam Mondal

Computer Science
project thumbnail

Sofia Mujica

Mechanical Engineering
project thumbnail

Shivam Patel

Computer Science

Alumni

Maryam Almaian

MS in Architecture (High Performance Building)

Shruti Jadhav

MS in Architecture (High Performance Building)

Chinmay Rothe

MS in Architecture (High Performance Building)

Silvia Vangelova

MS in ISyE

Collaborators

project thumbnail

Dr. Marcelo Bernal

Director Design Process Lab at Perkins&Will
project thumbnail

Dr. Timur Dogan

Associate Professor at Cornell University
project thumbnail

Dr. Paula Gomez

Senior Research Engineer at GTRI
project thumbnail

Dr. Shalaila Haas

Assistant Professor at Mt. Sinai
project thumbnail

Dr. Benson Ku

Assistant Professor at Emory University
project thumbnail

Dr. J. Carlos Martinez Mori

PostDoc in ISyE at Georgia Tech
project thumbnail

Dr. Christian Sprague

Technical Program Manager at INCOSE
project thumbnail

Dr. Graeme Troxell

Postdoc at Colorado State University
\ No newline at end of file diff --git a/team/jadhav/index.html b/team/jadhav/index.html index e882b56ba928..d7e63355c6e9 100644 --- a/team/jadhav/index.html +++ b/team/jadhav/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Shruti Jadhav

MS in Architecture (High Performance Building)

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Shruti Jadhav

MS in Architecture (High Performance Building)

Shruti graduated from her MS in Architecture with a capstone specialization in High Performance Building.

\ No newline at end of file diff --git a/team/jiang/index.html b/team/jiang/index.html index cf9540c5ef13..44a43d9d7457 100644 --- a/team/jiang/index.html +++ b/team/jiang/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Ze Yu Jiang

Computer Science and Math

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Ze Yu Jiang

Computer Science and Math

\ No newline at end of file diff --git a/team/kastner/index.html b/team/kastner/index.html index 757f58451cc2..634c384b7c4f 100644 --- a/team/kastner/index.html +++ b/team/kastner/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Dr. Patrick Kastner

Assistant Professor and Director of the Sustainable Urban Systems Lab at Georgia Tech.

Patrick Kastner is a researcher and educator specializing in environmental performance simulation and decarbonization of buildings and cities. He is an Assistant Professor at the School of Architecture and Director of the Sustainable Urban Systems Lab.

As a systems engineer, his goal is to empower urban decision-makers with software tools that place sustainability at the forefront of the profession. He leads a Vertically Integrated Project titled Surrogate Modeling for Urban Regeneration (SMUR), which attracts a diverse group of students ranging from sophomore to graduate level, representing various engineering disciplines and other related fields across Georgia Tech.

He earned his Ph.D. and M.S. in Systems Science and Engineering from Cornell University in 2022. During his doctoral research, he developed Eddy3D, a microclimate modeling software toolkit for Rhino & Grasshopper, now adopted by leading institutions in both academia and practice. He previously taught at Cornell and UPenn.

Originally from Germany, Kastner holds an M.S. in Sustainable Building Science from TU Munich, and a B.S. in Energy Engineering from FAU Erlangen-Nuremberg. While in Munich, he was fortunate enough to study at the Center for Digital Technology and Management and enjoyed his time leading the operations team at TEDxTUM.

\ No newline at end of file +

Dr. Patrick Kastner

Assistant Professor and Director of the Sustainable Urban Systems Lab at Georgia Tech.

Patrick Kastner is a researcher and educator specializing in environmental performance simulation and decarbonization of buildings and cities. He is an Assistant Professor at the School of Architecture and Director of the Sustainable Urban Systems Lab.

As a systems engineer, his goal is to empower urban decision-makers with software tools that place sustainability at the forefront of the profession. He leads a Vertically Integrated Project titled Surrogate Modeling for Urban Regeneration (SMUR), which attracts a diverse group of students ranging from sophomore to graduate level, representing various engineering disciplines and other related fields across Georgia Tech.

He earned his Ph.D. and M.S. in Systems Science and Engineering from Cornell University in 2022. During his doctoral research, he developed Eddy3D, a microclimate modeling software toolkit for Rhino & Grasshopper, now adopted by leading institutions in both academia and practice. He previously taught at Cornell and UPenn.

Originally from Germany, Kastner holds an M.S. in Sustainable Building Science from TU Munich, and a B.S. in Energy Engineering from FAU Erlangen-Nuremberg. While in Munich, he was fortunate enough to study at the Center for Digital Technology and Management and enjoyed his time leading the operations team at TEDxTUM.

\ No newline at end of file diff --git a/team/ku/index.html b/team/ku/index.html index 138063bc4ba8..2a67812ce196 100644 --- a/team/ku/index.html +++ b/team/ku/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Dr. Benson Ku

Assistant Professor at Emory University

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Dr. Benson Ku

Assistant Professor at Emory University

\ No newline at end of file diff --git a/team/lim/index.html b/team/lim/index.html index 5344919343c3..166bc31b41ee 100644 --- a/team/lim/index.html +++ b/team/lim/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Matthew Lim

Computer Science

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Matthew Lim

Computer Science

\ No newline at end of file diff --git a/team/ma/index.html b/team/ma/index.html index d1cdde5be1e8..47a18b31606a 100644 --- a/team/ma/index.html +++ b/team/ma/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Changda Ma

MS in Architecture

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Changda Ma

MS in Architecture

\ No newline at end of file diff --git a/team/mahajan/index.html b/team/mahajan/index.html index 4e26f059a98f..b4b291abd728 100644 --- a/team/mahajan/index.html +++ b/team/mahajan/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Anubha Mahajan

Computer Science

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Anubha Mahajan

Computer Science

\ No newline at end of file diff --git a/team/martinez_mori/index.html b/team/martinez_mori/index.html index 54570efd0819..362a719dedc4 100644 --- a/team/martinez_mori/index.html +++ b/team/martinez_mori/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Dr. J. Carlos Martinez Mori

PostDoc in ISyE at Georgia Tech


I am a Schmidt Science Fellow and a President's Postdoctoral Fellow with the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. My postdoctoral mentor is Alejandro Toriello.

I am interested in discrete optimization, game theory, enumerative and algebraic combinatorics, and real-world applications in transportation and public decision-making.

I earned my PhD in Applied Mathematics from the Center for Applied Mathematics at Cornell University (2023). My PhD advisor was Samitha Samaranayake. My other committee members were Pamela E. Harris, David Shmoys, and Bobby Kleinberg. Prior to that, I earned my BSc in Civil Engineering and minor in Computer Science from the University of Illinois at Urbana-Champaign (2017). My undergraduate research advisor was Daniel B. Work.

Prior to joining Georgia Tech, I was a Postdoctoral Fellow at SLMath (formerly MSRI). I have also participated in semester-long research visits at ICERM and IPAM, research internships at Amazon.com and Bosch North America, and REU mentoring at MSRI and ICERM.

Link to Website

\ No newline at end of file +

Dr. J. Carlos Martinez Mori

PostDoc in ISyE at Georgia Tech


I am a Schmidt Science Fellow and a President's Postdoctoral Fellow with the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. My postdoctoral mentor is Alejandro Toriello.

I am interested in discrete optimization, game theory, enumerative and algebraic combinatorics, and real-world applications in transportation and public decision-making.

I earned my PhD in Applied Mathematics from the Center for Applied Mathematics at Cornell University (2023). My PhD advisor was Samitha Samaranayake. My other committee members were Pamela E. Harris, David Shmoys, and Bobby Kleinberg. Prior to that, I earned my BSc in Civil Engineering and minor in Computer Science from the University of Illinois at Urbana-Champaign (2017). My undergraduate research advisor was Daniel B. Work.

Prior to joining Georgia Tech, I was a Postdoctoral Fellow at SLMath (formerly MSRI). I have also participated in semester-long research visits at ICERM and IPAM, research internships at Amazon.com and Bosch North America, and REU mentoring at MSRI and ICERM.

Link to Website

\ No newline at end of file diff --git a/team/mondal/index.html b/team/mondal/index.html index 44873225e3d3..34c65e3ca716 100644 --- a/team/mondal/index.html +++ b/team/mondal/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Devam Mondal

Computer Science

\ No newline at end of file +

Devam Mondal

Computer Science

\ No newline at end of file diff --git a/team/mujica/index.html b/team/mujica/index.html index 3e2c19965699..6c9346d2d7b2 100644 --- a/team/mujica/index.html +++ b/team/mujica/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Sofia Mujica

Mechanical Engineering

\ No newline at end of file +

Sofia Mujica

Mechanical Engineering

\ No newline at end of file diff --git a/team/patel/index.html b/team/patel/index.html index 42c1bc2d6316..79d0b6ff57d2 100644 --- a/team/patel/index.html +++ b/team/patel/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Shivam Patel

Computer Science

\ No newline at end of file +

Shivam Patel

Computer Science

\ No newline at end of file diff --git a/team/rahimi/index.html b/team/rahimi/index.html index 6d4582e6b487..1d429e83252a 100644 --- a/team/rahimi/index.html +++ b/team/rahimi/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Sina Rahimi

PhD Student in Building Science at TMU (co-advisee)

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Sina Rahimi

PhD Student in Building Science at TMU (co-advisee)

\ No newline at end of file diff --git a/team/rothe/index.html b/team/rothe/index.html index f20bad3365ba..9e3bc8297d7c 100644 --- a/team/rothe/index.html +++ b/team/rothe/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Chinmay Rothe

MS in Architecture (High Performance Building)

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Chinmay Rothe

MS in Architecture (High Performance Building)

Chinmay graduated from his MS in Architecture with a capstone specialization in High Performance Building.

\ No newline at end of file diff --git a/team/shi/index.html b/team/shi/index.html index 2f7ddd6f0991..ef2b9ee90b9d 100644 --- a/team/shi/index.html +++ b/team/shi/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Yichao Shi

PhD Student in Architecture (co-advisee)

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Yichao Shi

PhD Student in Architecture (co-advisee)

\ No newline at end of file diff --git a/team/shih/index.html b/team/shih/index.html index b0b3045482ed..7b5bedc04f1d 100644 --- a/team/shih/index.html +++ b/team/shih/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Han-Syun (Benjamin) Shih

MS in Architecture (High Performance Building)

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Han-Syun (Benjamin) Shih

MS in Architecture (High Performance Building)

\ No newline at end of file diff --git a/team/sprague/index.html b/team/sprague/index.html index feecff79d296..f3e160a4730a 100644 --- a/team/sprague/index.html +++ b/team/sprague/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Dr. Christian Sprague

Technical Program Manager at INCOSE

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Dr. Christian Sprague

Technical Program Manager at INCOSE

\ No newline at end of file diff --git a/team/troxell/index.html b/team/troxell/index.html index a6678a188556..5ae3f7cbc460 100644 --- a/team/troxell/index.html +++ b/team/troxell/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Dr. Graeme Troxell

Postdoc at Colorado State University


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Dr. Graeme Troxell

Postdoc at Colorado State University


\ No newline at end of file diff --git a/team/vangelova/index.html b/team/vangelova/index.html index 4f237999de9d..f0bc3bcb0368 100644 --- a/team/vangelova/index.html +++ b/team/vangelova/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Silvia Vangelova

MS in ISyE


After graduating from her MS in ISyE at Georgia Tech, Silvia went on to become a Ph.D. Student at ETH Zurich. Silvia worked on two research projects related to urban data science and energy modeling.

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Silvia Vangelova

MS in ISyE


After graduating from her MS in ISyE at Georgia Tech, Silvia accepted an offer as a Ph.D. Student at ETH Zurich. Silvia worked on two research projects related to urban data science and energy modeling.

\ No newline at end of file diff --git a/team/vegas/index.html b/team/vegas/index.html index c347e792fcf7..699853e76acd 100644 --- a/team/vegas/index.html +++ b/team/vegas/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Gonzalo L. Vegas Olcese

PhD Student in Architecture (co-advisee)

Co-advisee together with Prof. Sonit Bafna and Prof. John Peponis.


Gonzalo Vegas is a Ph.D. student in architecture at the Georgia Tech Institute of Technology, and a GRA for the Georgia Tech Research Institute on the RISC unit. With a background on computational design, performance analysis, and digital fabrication, he focuses on developing tools to support decision-making processes of architects and urban designers.

He holds a professional degree in architecture from Universidad Tecnica Federico Santa Maria, where he developed his interests in agent-based modeling applied in generative design. Later on, he grew further interests in building analysis, in particular on human-related factors on the built environment.

He participates in the vertically integrated project “Surrogate Modeling for Urban Regeneration”, where he leads a group of Master’s students on the development of a microclimate simulation platform for the Rhinoceros-Grasshopper environment, in an effort to accurately model thermal comfort.

He believes the principles of architecture design can be captured through systematic analysis of building morphology, and thus support the improvement of building inhabitation and produce better social outcomes. To pursue this belief, he collaborates with Georgia Tech professors in the development of novel Space Syntax analytical approaches to advance both architecture theory and practice.

His thesis follows the same objective, as he bridges architecture, environmental psychology, and systems modeling into a novel approach to capture the underlying mechanism through which buildings shape human behavior. Once completed, his work will allow architecture researchers to test spatial theories on the effects of the built environment on human organization and the development of social outcomes, such as sense of community, tie-formation, and serendipitous encounters.

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Gonzalo L. Vegas Olcese

PhD Student in Architecture (co-advisee)

Co-advisee together with Prof. Sonit Bafna and Prof. John Peponis.


Gonzalo Vegas is a Ph.D. student in architecture at the Georgia Tech Institute of Technology, and a GRA for the Georgia Tech Research Institute on the RISC unit. With a background on computational design, performance analysis, and digital fabrication, he focuses on developing tools to support decision-making processes of architects and urban designers.

He holds a professional degree in architecture from Universidad Tecnica Federico Santa Maria, where he developed his interests in agent-based modeling applied in generative design. Later on, he grew further interests in building analysis, in particular on human-related factors on the built environment.

He participates in the vertically integrated project “Surrogate Modeling for Urban Regeneration”, where he leads a group of Master’s students on the development of a microclimate simulation platform for the Rhinoceros-Grasshopper environment, in an effort to accurately model thermal comfort.

He believes the principles of architecture design can be captured through systematic analysis of building morphology, and thus support the improvement of building inhabitation and produce better social outcomes. To pursue this belief, he collaborates with Georgia Tech professors in the development of novel Space Syntax analytical approaches to advance both architecture theory and practice.

His thesis follows the same objective, as he bridges architecture, environmental psychology, and systems modeling into a novel approach to capture the underlying mechanism through which buildings shape human behavior. Once completed, his work will allow architecture researchers to test spatial theories on the effects of the built environment on human organization and the development of social outcomes, such as sense of community, tie-formation, and serendipitous encounters.

\ No newline at end of file diff --git a/team/xu/index.html b/team/xu/index.html index 4a730747a4ad..13b7bb4a6d73 100644 --- a/team/xu/index.html +++ b/team/xu/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Hang Xu

PhD Student in Architecture

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Hang Xu

PhD Student in Architecture

\ No newline at end of file diff --git a/theses/index.html b/theses/index.html index 284b971ec46f..bc9bcc5be349 100644 --- a/theses/index.html +++ b/theses/index.html @@ -15,4 +15,4 @@ "name": "Sustainable Urban Systems Lab", "@context": "https://schema.org" } -

Theses & Capstones

A growing collection of completed theses in the lab.

BArch

project thumbnail

Architectural Intelligence—Harnessing AI for Design Intent

Luke Kratsios
project thumbnail

Urban Vital Signs

Daniel Halstead

MS

project thumbnail

3D Heat Transfer Analysis in Architectural Modeling

Maryam Almaian

Capstone

project thumbnail

Influence of Vegetation Structure on Urban Microclimate

Chinmay Rothe
project thumbnail

3D Heat Transfer Analysis in Architectural Modeling

Silvia Vangelova
project thumbnail

BASELINE: Benchmarking Scenarios for Env. Layouts and Integrative Nbhd Eval.

Shruti Jadhav
project thumbnail

LiDAR data for enriching open geospatial building datasets: implications for urban building energy modeling

Silvia Vangelova
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Assessing Solar Potential of Buildings Using LiDAR and Footprint Data

Silvia Vangelova
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Theses & Capstones

A growing collection of completed theses in the lab.

BArch

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Architectural Intelligence—Harnessing AI for Design Intent

Luke Kratsios
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Urban Vital Signs

Daniel Halstead

MS

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3D Heat Transfer Analysis in Architectural Modeling

Maryam Almaian

Capstone

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Influence of Vegetation Structure on Urban Microclimate

Chinmay Rothe
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BASELINE: Benchmarking Scenarios for Env. Layouts and Integrative Nbhd Eval.

Shruti Jadhav
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LiDAR data for enriching open geospatial building datasets

Silvia Vangelova
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Assessing Solar Potential of Buildings Using LiDAR and Footprint Data

Silvia Vangelova
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