Shiwei Zeng

Shiwei Zeng is an Assistant Professor in the Department of Computer & Cyber Sciences at Augusta University, School of Computer and Cyber Sciences. His research focuses on theoretical aspects of machine learning, emphasizing robustness, data efficiency, and noise tolerance in models. He holds a Ph.D. in Computer Science from Stevens Institute of Technology (2004), an MS in Computer Science from Stevens Institute of Technology (2019), and dual BS degrees in Electrical and Electronics Engineering (Hong Kong Polytechnic, 2015) and Integrated Circuit Design Technology (Sun Yat-sen University, 2015).

• Education: Ph.D. (2004), MS (2019) – Stevens Institute of Technology
• BS (2015) – Hong Kong Polytechnic University (Electrical Eng)
• BS (2015) – Sun Yat-sen University (Integrated Circuit Design)

His research interests include PAC learning, robust statistical methods, and innovative approaches to handling malicious noise and data inefficiency. Recent work explores semi-verified learning from crowdsourced data and list-decodable estimation techniques.

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