IntellEcT Systems LAB

I direct IntellEcT Systems Lab (Intelligent, Efficient, and Trustworthy Systems).  We are primarily interested in (a) developing efficient and trustworthy machine learning systems, (b) adaptive and efficient robotics, (c) machine learning for health, and (d) designing and evaluating novel mobile systems and applications.

Sustainable AI Systems:

• Develop novel ML algorithms and systems for efficient and scalable learning and inference (continual, federated learning, multimodal generative models) on data centers, cloud, smartphones, and edge devices - Raspberry Pi/Jetson Nano to MCU. 

• Designing hardware accelerators focusing on hardware-software co-optimizations. 

Applications:  

• Develop novel ML algorithms and systems for various domains including healthcare, robotics.

Trustworthy AI Systems:

• Develop novel ML algorithms and systems for safe multimodal generative AI models, including roboitics. 

Our Current Research