Xin Zhang

Xin Zhang is a Research Staff Member and Manager at IBM T. J. Watson Research Center and an Adjunct Professor in the Department of Electrical Engineering at Columbia University since 2021. His work bridges AI hardware, power electronics, and algorithm design, focusing on energy-efficient systems for machine learning and computing.

• Affiliation: IBM T. J. Watson Research Center (Research Staff Member/Manager)
• Affiliation: Columbia University (Adjunct Professor, School of Engineering)

His research interests include analog circuits, power management circuits, DC-DC converters, machine learning hardware accelerators, computer system architecture, and AI/ML-assisted EDA tools. He has pioneered AI-driven approaches for circuit topology synthesis and thermal management in hardware.

Recent publications highlight innovations in chip placement optimization, secure in-memory computing for AI, and high-efficiency converters for AI SoCs. His work integrates machine learning with power electronics to address challenges in energy efficiency, security, and real-time performance.

He has received prestigious recognition as an IBM Master Inventor (2023) and is an IEEE Senior Member. His editorial roles include Guest Editor for IEEE Journal on Emerging and Selected Topics in Circuits and Systems and Associate Editor for IEEE Solid State Circuits Letters.

Active in academic and industry leadership, he serves on Technical Program Committees for conferences like APEC, ISSCC, and DAC, and is on the Organizing Committee for the IBM IEEE CAS/EDS AI Compute Symposium since 2019.