245 Beacon Street 324K
Telephone: 617-552-0532
Email: usman.khan@bc.edu
Optimization and Control
Machine Learning
Robotics, Foundation Models
Scalability and Interpretability
Artificial Intelligence
Usman A.ĚýKhanĚýis a Professor of Computer Science at Boston College and also holds a concurrent appointment as an Amazon Scholar with Amazon Robotics. Prior to joining Boston College, he was a Professor of Electrical and Computer Engineering at Tufts University with a secondary appointment in Computer Science. He received his B.S. degree from University of Engineering and Technology, Pakistan, M.S. degree from University of Wisconsin-Madison, USA, and Ph.D. degree from Carnegie Mellon University, USA. He was a postdoctoral researcher in the GRASP robotics lab at the University of Pennsylvania and also has held a Visiting Professor position at the Royal Institute of Technology (KTH), Sweden.Ěý
His research interests include optimization, control, and stochastic dynamical systems with applications in AI and machine learning. He has published extensively in these topics with more than 150 articles in journals and conference proceedings and holds multiple patents. Recognition of his work includes the prestigious National Science Foundation (NSF) Career award, several federally funded projects and NSF REU awards, an IEEE journal cover, and several news articles including two in IEEE Spectrum. He received the 2024 Outstanding Editorial Board Member Award from the IEEE Transactions on Signal Processing, 2024 Tufts Faculty Mentoring Award, 2023 Tufts Inventor award, 2023 Outstanding Editorial Board member Award from the IEEE Transactions on Signal and Information Processing over Networks, 2022 EURASIP Best Paper Award for articles published in the EURASIP Journal on Advances in Signal Processing over 2017–2021, and Best Student Paper awards at the IEEE International Conference on Networking, Sensing and Control (2014), and at the IEEE Asilomar Conference (2014 and 2016).
Dr.ĚýKhanĚýis Fellow of the IEEE and has served on several technical societies within IEEE. He has held Associate Editor positions with several top-tier IEEE publications: IEEE Transactions on Smart Grid (2014–2017); IEEE Control System Letters (2018–2020); IEEE Transactions on Signal and Information Processing over Networks (2019–2024); IEEE Open Journal of Signal Processing (OJSP) (2019–2025); and IEEE Transactions on Signal Processing (TSP) (2021–2023). He is currently a Senior Area Editor with both IEEE OJSP and IEEE TSP. He served as the Chief Editor for the Proceedings of the IEEE special issue on Optimization for Data-driven Learning and Control (Nov. 2020), and as a Guest Editor in several other special issues with IEEE and EURASIP journals. He served as the Technical Area Chair for the Networks track in 2020 IEEE Asilomar Conference on Signals Systems and Computers and for the Signal Processing for Self Aware and Social Autonomous Systems track at the 1st IEEE International Conference on Autonomous Systems (Aug. 2021).
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