Artificial Intelligence Activity Recognition Research Assistant, Global Health Intern [W25; S25]
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 91ÑÇÉ«.
Themes | Global Health & Humanitarianism |
Status | Alum |
Events |
7th Annual Global Health Intern Symposium |
Related Work |
N/A
|
Updates |
You may also be interested in...
Humanitarian Water Engineering Lab Kicks Off New Projects in Uganda
This June, researchers from the Humanitarian Water Engineering (HWE) Lab at the Dahdaleh Institute for Global Health Research travelled to Uganda to launch two new humanitarian health research collaborations in crisis-affected communities in Uganda. Dr. ...Read more about this Post
Wellness Impact Lab
The Dahdaleh Institute has a bold vision for achieving global health for all. A new lab has been created – the Wellness Impact Lab (WIL) – led by Dr. Harvey Skinner, PhD (Senior Fellow) and ...Read more about this Project
Recap — The Benefits of Self-Healing on Our External Environment and Relationships With Others
For most of us, our daily life continues to grow more difficult with challenges such as climate change, political instability, the aftermath of the COVID-19 pandemic, and a global sense of approaching doom. Now more ...Read more about this Post