Rate My Professor Usman Khan

Khan's contributions have earned him the National Science Foundation CAREER Award in 2014 and elevation to IEEE Fellow in 2025 for outstanding work in optimization, control, and stochastic dynamical systems with applications in AI and machine learning. Additional recognitions include the 2022 EURASIP Best Paper Award for a publication in the EURASIP Journal on Advances in Signal Processing, Best Student Paper Awards at the 2014 IEEE International Conference on Networking, Sensing and Control, and the IEEE Asilomar Conferences in 2014 and 2016. A senior member of IEEE, he serves on the editorial boards of IEEE Transactions on Signal Processing (since 2021), IEEE Transactions on Signal and Information Processing over Networks (since 2019), and IEEE Open Journal of Signal Processing (since 2019), and was Chief Editor for the Proceedings of the IEEE special issue on Optimization for Data-driven Learning and Control (November 2020). Key publications encompass 'Distributing the Kalman Filter for Large-Scale Systems' (2008), 'DEXTRA: A Fast Algorithm for Optimization Over Directed Graphs' (IEEE Transactions on Automatic Control, 2017), 'Linear Convergence in Optimization over Directed Graphs with Row-Stochastic Matrices' (IEEE Transactions on Automatic Control, 2018), and 'Distributed Heavy-Ball: A Generalization and Acceleration of First-Order Methods with Gradient Tracking' (2019).