Venkatesh Saligrama

Venkatesh Saligrama is a Professor of Electrical and Computer Engineering at Boston University, a founding member of Computing and Data Science, and an Amazon Scholar. Venkatesh is a leading expert in artificial intelligence, machine learning, and signal processing. His research focuses on addressing bias in AI systems, learning under constraints like safety and efficiency, and in-context learning with large language models (LLMs).

Venkatesh’s work, which includes over 100 peer-reviewed papers, has significantly impacted both academia and industry. His contributions have earned him recognition as an IEEE Fellow, and awards such as the IEEE Signal Processing Society’s Distinguished Lecturer, the PECASE, the ONR Young Investigator Award, and the NSF CAREER Award.

In addition to his research, Venkatesh is committed to academic service, holding editorial roles in top journals like IEEE Transactions on Information Theory and IEEE Transactions on Signal Processing. He has also chaired major conferences, including IEEE MLSP 2024 and NeurIPS 2023. His research on AI bias has been widely covered by major media outlets, including The New York Times and NPR.

As a dedicated mentor, Venkatesh has guided many students and postdocs who have gone on to successful careers in academia and industry. His ongoing work continues to push the boundaries of AI, with a strong focus on ethical and socially responsible innovation.