Research Assistant @ McMaster University | AI & ML Researcher | Edge Intelligence & Privacy Enthusiast
π‘ About Me
I'm a graduate researcher and teaching assistant at McMaster University, with a focus on federated learning, distributed optimization, and AI for edge computing.
Driven by solving real-world ML problems, I have hands-on experience in both academic research and industry deployment, from traffic analysis systems to privacy-preserving IIoT models.
π Based in Canada
π¬ Reach me at: mohammadheydari.eduu@gmail.com
π MSc in Computer Software Engineering (4.0 GPA)
π Multiple award recipient for academic and research excellence
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π§ Graduate Research Assistant, McMaster University
Designed FL algorithms for fairness and scalability. Developed optimization techniques for decentralized agents in edge computing. -
π¨βπ« Teaching Assistant, McMaster University
Supporting graduate-level courses on ML, optimization, and software engineering. -
π Data Science Researcher, University of Tehran
Researched GAN-based privacy-preserving learning for Industrial IoT systems with semi-supervised and adversarial techniques. -
π Machine Learning Engineer, HARA AI
Built real-time computer vision systems with sub-100ms inference latency. Enhanced NLP and speech-to-text systems for call center platforms. -
π₯ ML Engineer Intern, Smart Traffic Control
Designed CNN-based vehicle tracking models and deployed full-stack ML solutions for smart cities.
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MSc in Computer Software Engineering, McMaster University
GPA: 4.0/4.0 | Coursework: Trustworthy ML, Nonlinear Optimization, Unsupervised Learning -
BSc in Electrical & Computer Engineering, University of Tehran
GPA: 3.8/4.0 | Capstone: GAN-based Privacy-Aware RL in IIoT
- π Faculty of Engineering Graduate Excellence Scholarship (Winter 2025, 2024)
- π₯ Best Undergraduate Research Project (University of Tehran)
- ποΈ Ranked Top 0.2% in Iranβs National University Entrance Exam
βEmpowering intelligent systems through decentralized, secure, and scalable AI.β