Usman A. Khan is 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. 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鈥�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. Khan 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. Dr. Khan is an IEEE Senior Member and has served on the Sensor Array and Multichannel Technical Committee with the IEEE Signal Processing Society from 2010鈥�2022. He was an elected full member of the IEEE Big Data Special Interest Group from 2017 to 2019, and has served on the IEEE Young Professionals Committee and on the IEEE Technical Activities Board. He has held Associate Editor positions with several top-tier IEEE publications: IEEE Transactions on Smart Grid (2014鈥�2017); IEEE Control System Letters (2018鈥�2020); IEEE Transactions on Signal and Information Processing over Networks (2019鈥�2024); IEEE Open Journal of Signal Processing (OJSP) (2019鈥�2025); and IEEE Transactions on Signal Processing (TSP) (2021鈥�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 Associate Editor for the IEEE Control System Letters special issue on Learning and Control (Nov. 2020). 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).
