Prashant Khanduri

Prashant Khanduri is Assistant Professor in Computer Science at Wayne State University, specializing in optimization methods for machine learning. His research develops efficient algorithms for federated learning, robust optimization, and bilevel problems in distributed environments.

Awarded Best Student Paper at IEEE SPAWC (2019) and Syracuse University's Doctoral Prize (2020), his work addresses communication efficiency, adversarial robustness, and theoretical guarantees. Current projects focus on Byzantine-robust learning, fairness-aware transformers, and federated time-series forecasting.