IntellEcT Systems LAB

I direct IntellEcT Systems Lab (Intelligent, Efficient, and Trustworthy Systems). We are primarily interested in doing research in the fields of embedded AI and healthcare. Our broad vision is to (a) develop intelligent and sustainable low-power AI systems,  and (b) create affordable, scalable, and trustworthy systems for healthcare using novel sensing and ML.  

Embedded and Sustainable AI:

• Optimizing machine learning models for inference and learning (continual, federated learning) to work efficiently on embedded systems ranging from smartphones, and edge devices - Raspberry Pi/Jetson Nano to MCU. 

• Designing hardware accelerators by doing hardware-software co-optimizations. 

Healthcare: 

• Develop novel healthcare systems  utilizing off-the-shelf commodity sensors, hardware, and AI.

• Trustworthy ML in Healthcare

Current Team: 

• Dr. Chong Tang: Working on efficient continual learning for embedded systems.

• Joseph Omar - Working on efficient speech systems. 

• Mohammed Mosuily - Working at the intersection of Acoustics and AI for healthcare.

• Neelam Singh: Working on efficient continual learning for embedded systems.

• Shannon How - Working on Federated Learning. 

• Dr. Sharon Sunny - Working on Genomics and AI. 

• Michalis Kontos - Working on efficient LLM  for the edge devices. 

Work: Coming soon.