Artificial Intelligence Activity Recognition Research Assistant, Global Health Intern
Intern
Syed Haider is a Research Assistant at the Dahdaleh Institute, focusing on AI-driven activity recognition in augmented reality (AR). He develops object detection methods using Meta’s SAM and OpenCV, integrates large language models (LLMs) for intent inference, and designs algorithms to track and analyze user actions. His work explores verbal cue integration and hardware feasibility for deploying AI models on various platforms.
With experience in autonomous systems, sensor fusion, and computer vision, Syed has worked at General Motors and contributed to AI research in neuroimaging and autonomous vehicles. Syed is currently on path to completing a Specialized Honours Bachelor’s degree in Computer Engineering from York University.
Themes | Global Health & Humanitarianism |
Status | Active |
Related Work |
N/A
|
Updates |
N/A
|
You may also be interested in...
Call for Presentations – 2025 Critical Social Science Perspectives in Global Health Workshop
Returning for a sixth year, the Critical Social Science Perspectives in Global Health (CPGH) Research workshop will be held on Tuesday, April 29 from 9:00 a.m. to 12:00 p.m. ET. Join us to gain novel ...Read more about this Post
Internship Program: Summer 2024 in Review
This summer, the Dahdaleh Institute has worked with wonderful students through our dynamic, experiential education Global Health Internship Program. The program offers students the ability to contribute to exciting research projects by working on literature reviews, ...Read more about this Post
Don't Miss Our November Lineup of Events
Join us for a November packed with insightful seminars, inspiring guests, and the launch of SWOT v2. Start off the month with a public seminar by visionary designer and Dahdaleh Institute community fellow Bruce Mau. ...Read more about this Post