Ming Shi

Ming Shi is an Assistant Professor in the Department of Electrical Engineering at the University at Buffalo, affiliated with the School of Engineering and Applied Sciences. His research focuses on Network Optimization, Wireless Communication, and Machine Learning Theory. He holds a Ph.D. from Purdue University's School of Electrical and Computer Engineering (2022) and a B.Sc. from Tianjin University's Qiushi Honors College (2015). Prior to his current role, he was a Post-Doctoral Scholar at The Ohio State University (2022–2024), affiliated with the NSF AI-EDGE Institute.

Education:

• Ph.D., School of Electrical and Computer Engineering, Purdue University, 2022
• B.Sc., Communication Engineering, Qiushi Honors College, Tianjin University, 2015

Research Interests: Dr. Shi’s work integrates machine learning with network optimization, addressing challenges in wireless communication systems. His recent contributions include advancements in distributed optimization algorithms and resource allocation strategies, leveraging theoretical insights from machine learning. His interdisciplinary approach bridges communication theory and computational efficiency.

Awards:

• Spotlight paper at ICLR 2023
• Bilsland Dissertation Fellowship (2021)
• NSF-funded travel grants (2018–2021)

Grants & Collaborations: His postdoctoral work at Ohio State involved the NSF AI-EDGE Institute, focusing on AI-driven edge computing. He has secured multiple grants from the National Science Foundation to support his research in network optimization and machine learning applications.

Labs & Teams: While specific lab details are not provided, his affiliations suggest involvement in interdisciplinary teams at both Purdue and Ohio State, focusing on AI and communication systems.