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<div class="docs-section" id="bio">
  <h4>Bio</h4>
  <p>
    Dr. Amir-Hossein Karimi is an award-winning educator and researcher, and an Assistant Professor in the <a href="https://uwaterloo.ca/electrical-computer-engineering" target="_blank">Department of Electrical and Computer Engineering</a> and the <a href="https://cs.uwaterloo.ca/" target="_blank">Cheriton School of Computer Science</a> (cross-appointed) at the <a href="https://uwaterloo.ca/" target="_blank">University of Waterloo</a>, and a <a href="https://vectorinstitute.ai/" target="_blank">Vector Institute</a> Faculty Affiliate.

    He leads the <b>Collaborative Human-AI Reasoning Machines (✨CHARM✨) Lab</b>, dedicated to advancing safe and trustworthy human-AI collaborations.
  
    Prior to joining Waterloo, Dr. Karimi accumulated significant industry experience at leading tech companies such as
    <a href="https://www.blackberry.com/" target="_blank">BlackBerry</a> (2013),
    <a href="https://about.meta.com/" target="_blank">Meta (Facebook)</a> (2014-6),
    <a href="https://ai.google/research/teams/brain/" target="_blank">Google Brain</a> (2021),
    and <a href="https://www.deepmind.com/" target="_blank">DeepMind</a> (2022),
    and provided consulting services for various startups and incubators including for <a href="https://www.nextcanada.com/next-ai/" target="_blank">NEXT AI</a>.

    His contributions have earned him multiple accolades, such as the <u>UofToronto Spirit of Engineering Science Award</u> (2015), the <u>UWaterloo Alumni Gold Medal Award</u> (2018), the <u>NSERC Canada Graduate Scholarship - Doctorate</u> (2018), the <u>Google PhD Fellowship</u> (2021), the <u>ETH Zurich Medal</u> (2024), the <u>NSERC Discovery Grants & Supplements</u> (2024), and the <u>Igor Ivkovic Teaching Excellence Award</u> (2024).
  </p>

</div>


<!-- ========== GROUP ========== -->
<div class="docs-section" id="group">
  <h4>✨CHARM Lab✨</h4>
  <p>
    The mandate of the <b>Collaborative Human-AI Reasoning Machines (✨CHARM✨) Lab</b> is to enhance the integration of AI systems into human decision-making, ensuring they are not only <b>powerful</b> but also <b>safe</b>, <b>reliable</b>, and <b>aligned</b> with human values.

    As AI becomes more embedded in everyday life, e.g., 🏥 healthcare, 🎓 education, 💼 finance, and 🚗 transportation, our dependency on these systems grows, and so does the risk of potential consequential errors.

    Our mission is to develop AI systems that can <b>detect</b> 🕵️‍♂️ potential issues, <b>correct</b> 🛠️ mistakes, and ultimately <b>perfect</b> 🤝 human-AI partnership where humans and machines work together to achieve better outcomes. 🌍✨
  </p>

  <p>
    The CHARM Lab focuses on <u>causal inference</u>, <u>explainable AI</u>, and <u>neuro-symbolic</u> approaches in order to build systems that allow users to <b>understand</b>, <b>challenge</b>, and <b>improve</b> AI decisions.

    We occasionally also borrow insights from, and collaborate with leading experts in, such fields as <u>social sciences</u>, <u>cognitive science</u>, <u>human-computer interaction</u>, <u>multi-agent reinforcement learning</u>, <u>game theory</u>, and <u>behavioral economics</u>.
    
  </p>

  <div class="row">
    <div class="twelve columns">
      <h5>Prospective Students</h5>
      <p>
        The lab is always on the lookout for <b>exceptional</b> and <b>highly motivated</b> students/visitors across all levels (bachelor's, master's, doctoral, postdoctoral). 

        If you are passionate about building the future of trustworthy human-AI symbiosis, and have a strong background in <u>machine learning</u>, <u>computer science</u>, or <u>related fields</u> please fill out 
        <a href="https://forms.gle/yqLBPJb6Gok4J1jv8" target="_blank">this form</a>.
      </p>
    </div>
  </div>

  <h5>Current Members</h5>

  <div class="members-columns">
    <div class="members-card">
      <!-- <img class="profile-pic" src={{ "/assets/profile-pics/shiraz.png" | prepend: site.baseurl }} alt="Amir-Hossein Karimi"> -->
      <!-- <img class="profile-pic" src={{ "/assets/profile-pics/tmls.jpeg" | prepend: site.baseurl }} alt="Amir-Hossein Karimi"> -->
      <img class="profile-pic" src={{ "/assets/profile-pics/toronto.png" | prepend: site.baseurl }} alt="Amir-Hossein Karimi">
      <p class="name">Amir-Hossein Karimi</p>
      <p class="title">Principal Investigator (PI)</p>
    </div>
  </div>

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  </div>

  <h5>Lab Alumni</h5>
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  <h5>Past Mentees</h5>
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        {{ mentee.title }} 
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          (w/ <a href="{{ mentee.coadvisor_link }}" target="_blank">{{ mentee.coadvisor }}</a>)
        {% endif %}
        {% if mentee.next %}
          <br> (next: {{ mentee.next }})
        {% endif %}
      </p>
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</div>



<!-- ========== PUBLICATIONS ========== -->
<div class="docs-section publications-section" id="publications">
  <h4>Publications</h4>
  <p>
    Dr. Karimi's scholarly contributions have been showcased almost exclusively at top-tier AI and ML venues including <b>NeurIPS, ICML, AAAI, AISTATS, ACM FAccT,</b> and <b>ACM AIES</b>. He has authored influential publications such as a comprehensive survey paper in the prestigious <b>ACM Computing Surveys</b>, holds a patent, and is a contributing author of a book chapter.

    Dr. Karimi’s work on algorithmic recourse has notably elevated its prominence in responsible AI research, with its presence growing from almost none to hundreds on Google Scholar in just five years; algorithmic recourse is now a mandatory criterion in key sectors, including <a href="https://www.tbs-sct.canada.ca/pol/doc-eng.aspx?id=32592" target="_blank">Canada’s Treasury Board Directive on Automated Decision-Making</a>.

    Several of Dr. Karimi's papers have received over 100 citations each. Dedicated to knowledge mobilization and reproducibility, his <a href="https://github.com/charmlab" target="_blank">open-source code</a> has garnered over 100 GitHub stars.
  </p>
  <p>Most recent publications are available on <a href="https://scholar.google.com/citations?user=umI56k0AAAAJ&hl=en" target="_blank">Google Scholar</a>.<br/>
    <sup>‡</sup> indicates equal contribution.
  </p>

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    <!-- Generate content for each category -->
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        <!-- Filter papers by category -->
        {% assign filtered_papers = site.data.publications.papers | where_exp: "paper", "paper.categories contains category.name" %}
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            {% if paper.banner %}
              <div class="banner">{{paper.banner}}</div>
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            <div class="paper-details">
              📝 <b>{{ paper.title }}</b><br>
              ✍️ {{ paper.authors }}
              {% if paper.venue %} <br>🏛️ <i>{{ paper.venue }}</i>{% endif %}
              {% if paper.acceptance_rate %} <span style="color:red;">(acceptance rate: {{ paper.acceptance_rate }})</span>{% endif %}
              {% if paper.impact_factor %} <span style="color:red;">(impact factor: {{ paper.impact_factor }})</span>{% endif %}
              {% if paper.tldr %} <br>✨ <b>TL;DR:</b> {{ paper.tldr }} {% endif %}
            </div>
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</div>





<!-- ========== TEACHING ========== -->
<div class="docs-section" id="teaching">
  <h4>Teaching</h4>
  <div class="intro-text">
    Dr. Karimi enjoys teaching diverse audiences, covering broad topics in AI <b>for general audiences</b>, courses on ML <b>for undergrad/grad students</b>, and specialized courses <b>for practitioners</b>. In his first teaching term at the University of Waterloo, he was honored with the <b>2024 Igor Ivkovic Teaching Excellence Award</b>.

    Dr. Karimi has been invited to present talks, lectures, and tutorials at institutions such as MIT, Harvard, ETH Zurich, MILA, University College London, Cyber Valley Health, Institute of Mathematical Statistics, NEC Europe Labs, DeepMind, and Google Brain. He gave notable tutorials on Causal Explainable AI at KDD 2023 and Algorithmic Recourse at the Toronto ML Summit 2024.

    <!-- Committed to fostering inclusivity and breaking down educational barriers, Dr. Karimi co-founded "<a href="https://instagram.com/princeofai/" target="_blank">Prince of AI</a>," an initiative providing free AI education to over 30,000 learners. This platform offers similar content to an introductory AI/ML course through free posts, video reels, and webinars. -->

    Please <a href="mailto:amirhkarimi@gmail.com" target="_blank">reach out</a> to book Dr. Karimi for teaching engagements at your organization or event.
  </div>

  <div class="teaching-columns">
    <!-- For everyone... -->
    <div class="teaching-category">
      <div class="teaching-column-title"><u> For everyone...</u></div>
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          <div class="banner">{{content.banner}}</div>
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    <!-- For students... -->
    <div class="teaching-category">
      <div class="teaching-column-title"><u> For students...</u></div>
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      </div>
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    <!-- For professionals... -->
    <div class="teaching-category">
      <div class="teaching-column-title"><u> For professionals...</u></div>
      {% for content in site.data.teaching.professionals %}
      <div class="teaching-card">
        {% if content.banner %}
          <div class="banner">{{content.banner}}</div>
        {% endif %}
        <div class="card-image">
          <img src="{{ content.image | prepend: site.baseurl }}" alt="{{ content.alt_text }}">
          <div class="card-overlay">
            {{ content.title }}
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          {% for link in content.links %}
          <a href="{{ link.url }}" target="_blank">{{ link.label }}</a>{% unless forloop.last %} | {% endunless %}
          {% endfor %}
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      </div>
      {% endfor %}
    </div>
  </div>

</div>




<!-- ========== RESUME ========== -->
<div class="docs-section" id="resume">
  <h4>Vitæ</h4>

  <p>
    Full CV in <a href={{ "/assets/cv/cv.pdf" | prepend: site.baseurl }} target="_blank">PDF</a>. Having immigrated five times across three continents for studies and work, from Iran to Canada, and then onward to the USA, Germany, Switzerland, and the UK, Dr. Amir-Hossein Karimi has accumulated <b>over 15 years of technical experience</b> in both research, industry, and startup roles. Now an Assistant Professor at the University of Waterloo and a Vector Institute Faculty Affiliate, he has held prominent research positions at Google DeepMind, Google Brain, alongside software engineering roles at BlackBerry and Meta (Facebook). His academic journey includes a Ph.D. at the Max Planck Institute & ETH Zürich, with a focus on causal inference and explainable AI.
  </p>

  <!-- The Timeline -->
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    {% endfor %}
  </ul>
</div>

<div class="docs-section" id="misc">
  <h4>Press, Funding, & Consultations</h4>
  <p>
    Dr. Karimi is grateful for the generous funding support from the <b>University of Waterloo</b>, <b>NSERC</b>, <b>Google</b>, and <b>Waterloo.AI</b>, enabling his team to push the boundaries of human-AI research.
  </p>
  <p>
    In addition to his academic contributions, Dr. Karimi has consulted internationally for several startups, leveraging his expertise for <b>discovery</b>, <b>product-market fit</b>, and <b>scaling</b> of operations, in addition to <b>fundraising</b> and <b>grant writing</b>. He is available to discuss how his research and experience can deliver value to your organization and stakeholders. Book a time via <a href="https://courses.amirhkarimi.com/1-1-with-amir-from-foundations-to-mastery" target="_blank">this link</a>.
  </p>
  <p>
    For press inquiries, feel free to <a href="mailto:amirhkarimi@gmail.com" target="_blank">reach out</a>.
  </p>
</div>