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Usman A. Khan

Professor, Electrical and Computer Engineering
Professor, Computer Science, Secondary Appointment
Tufts University

Office: 135 Halligan,
161 College Ave.,
Medford, MA 02155
Phone: (617) 627-5299
Email: khan AT ece DOT tufts DOT edu


Usman A. Khan is a Professor (effective Sep. 2022) of Electrical and Computer Engineering (ECE) at Tufts University where he also holds a secondary appointment in Computer Science. His research interests include signal processing, stochastic systems, optimization and control, and machine learning. He has published extensively in these topics with more than 120 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 2022 EURASIP Best Paper Award for a paper in the EURASIP Journal on Advances in Signal Processing, and Best Student Paper awards at the 2014 IEEE International Conference on Networking, Sensing and Control, and at the IEEE Asilomar Conference in 2014 and 2016.

Dr. Khan received his B.S. degree in 2002 from University of Engineering and Technology, Pakistan, M.S. degree in 2004 from University of Wisconsin-Madison, USA, and Ph.D. degree in 2009 from Carnegie Mellon University, USA, all in ECE. He was a postdoc in the GRASP lab at the University of Pennsylvania and also has held a Visiting Professor position at KTH, Sweden. Dr. Khan is an IEEE Senior Member and is an elected full member of the Sensor Array and Multichannel Technical Committee with the IEEE Signal Processing Society since 2019, where he was an Associate member from 2010 to 2019. 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 served as an Associate Editor on several publications: IEEE Transactions on Smart Grid (2014-2017); IEEE Control System Letters (2018-2020), IEEE Transactions on Signal and Information Processing over Networks (2019-current); IEEE Open Journal of Signal Processing (2019-current); and IEEE Transactions on Signal Processing (2021-current). 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 (Jul. 2020).

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