Sheraz Hassan
Computer Science Ph.D. Candidate
I’m a CS PhD student at the School of Interactive Computing, Georgia Institute of Technology, with a background in Electrical Engineering from Lahore University of Management Sciences. My research interests sit at the intersection of machine learning, embedded systems, and wearable sensing, with a focus on healthcare applications. I design low-power, resource-constrained systems with multimodal sensing and deploy optimized on-device machine learning models (TinyML) for physiological monitoring. Spanning both system design and algorithm deployment, my goal is to enable scalable, cost-effective solutions for continuous sensing and decision making in real world environments.
Professional Experience
Graduate Research Assistant
Georgia Institute of Technology Sep 2023 – Present
Designing low-cost, embedded systems for wearable health monitoring using multimodal sensors and microcontrollers along with deploying resource-efficient machine learning (TinyML) on edge hardware for physiological signal processing and inference.
Research Assistant
Smart Data Systems and Applications Lab (SDSA) Jun 2021 – Jul 2023
Developed end-to-end ML pipelines and hardware prototypes for healthcare, including real-time activity monitoring and biomedical signal processing. Also led projects on heart rate estimation, sound classification, and demand prediction for ride hailing services.
Co-Researcher
Students as Co-Researchers (ScR) Program Jul 2020 – Sep 2020
Investigated motion-robust photoplethysmography (PPG) for wearable health sensing. Improved heart rate estimation through motion artifact mitigation in PPG signals and explored broader applications for low-cost, continuous monitoring.
Teaching Experience
Artificial Intelligence (TA)
Georgia Institute of Technology Aug 2025 – Present
Continuing as a TA for the Graduate AI course, supporting instruction, grading, and technical mentoring.
Health Sensing and Interventions (TA)
Georgia Institute of Technology May 2025 – Aug 2025
Assisted in a hands-on, project-based course exploring digital health technologies, wearable devices, and physiological data.
Artificial Intelligence (TA)
Georgia Institute of Technology Jan 2024 – May 2025
Served as a Teaching Assistant for the Graduate Artificial Intelligence course over multiple semesters, with instruction led by Dr. Thad Starner, Dr. Thomas Ploetz, and Dr. Rodrigo in different terms. Supported over 300 students through office hours, grading, and technical guidance on assignments.
Introductory Engineering Laboratory (TA)
Lahore University of Management Sciences Sep 2022 – Dec 2022
Conducted lab sessions as a Teaching Assistant for over 60 students, offering support in instrumentation, embedded systems, and foundational engineering projects.
Academic Service
Beyond research and teaching, I actively contribute to the academic community as a peer reviewer. I served as a reviewer for CHI 2024 (ACM Conference on Human Factors in Computing Systems), participating in both initial and revise-and-resubmit rounds. I also reviewed papers for the IEEE Body Sensor Networks (BSN) 2024 conference, offering detailed feedback on emerging work in biomedical systems and haptics. I am committed to supporting rigorous, constructive peer review for research in interactive systems, health sensing, and wearable technologies.