I direct IntellEcT Systems Lab (Intelligent, Efficient, and Trustworthy Systems). We are primarily interested in (a) developing efficient, adaptive, and trustworthy machine learning systems for Gen AI, Agentic AI, world models, reasoning, (b) adaptive, safe, efficient robotics, (c) machine learning for health, and (d) designing and evaluating novel mobile systems and applications.
Sustainable and Adaptive AI Systems:
Develop novel ML algorithms and systems for efficient, adaptive, and scalable learning and inference in the context of Agentic AI, Gen AI, Reasoning and World Models.
Applications:
Develop novel ML algorithms and systems for various domains, including healthcare and robotics.
Trustworthy AI Systems:
Develop novel ML algorithms and systems for safe multimodal generative AI, Agentic AI, including robotics.
Our Current Research