Theoretical and algorithmic foundations of in-context learning and chain of thought using properly trained transformer models
RPI-IBM AI Research Collaboration Program, 2025.
Meta-learned digital twins for circuit design in chiplet integration
RPI-IBM AI Research Collaboration Program, 2025.
Human-in-the-loop dynamic control of LLM safety levels at inference time
MIT-IBM Watson AI Lab, 2024-2025.
Safe and robust multi-agent deep RL for power grids
MIT-IBM Watson AI Lab, 2024-2026.
Theoretical and algorithmic foundations of in-context learning using properly trained transformer models
RPI-IBM AI Research Collaboration Program, 2023-2024.
Large-scale foundation acoustic modeling for automatic speech recognition
RPI-IBM AI Research Collaboration Program, 2022-2024.
Adaptive, collaborative, and accelerated optimization for machine learning
MIT-IBM Watson AI Lab, 2022-2023.
Accelerated and compressed distributed stochastic optimization for deep learning
RPI-IBM AI Research Collaboration Program, 2021-2022.
Provably efficient reinforcement learning via neuro-symbolic representations
RPI-IBM AI Research Collaboration Program, 2021-2023.
Symbiotic foundations for AI and network research
NSF AI Institute for Future Edge Networks and Distributed Intelligence, 2021-2026.