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Usman Khan

Associate Professor
Electrical and Computer Engineering
Tufts University


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


Biography

Usman A. Khan is an Associate Professor of Electrical and Computer Engineering (ECE) at Tufts University, Medford, MA, USA, since September 2017, where he is also the Director of Signal Processing and Robotic Networks laboratory. His research interests include statistical signal processing, network science, and distributed optimization over autonomous multiagent systems. He has published extensively in these topics with more than 100 articles in journals and conference proceedings and holds multiple patents. Recognition of his work includes the prestigious National Science Foundation (NSF) Career award, several NSF REU awards, multiple NSF grants, an IEEE journal cover, three best student paper awards in IEEE conferences, and several news articles including two in IEEE Spectrum. Dr. Khan joined Tufts as an Assistant Professor in 2011 and held a Visiting Professor position at KTH, Sweden, in Spring 2015. Prior to joining Tufts, he was a postdoc in the GRASP lab at the University of Pennsylvania from Sep. 2009 to Dec. 2010. He received his Ph.D. degree in 2009 from Carnegie Mellon University, Pittsburgh, PA, USA, M.S. degree in 2004 from University of Wisconsin-Madison, USA, and B.S. degree in 2002 from University of Engineering and Technology, Lahore, Pakistan, all in ECE.

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, has served on the IEEE Young Professionals Committee and on the IEEE Technical Activities Board. He was an Editor of the IEEE Transactions on Smart Grid from 2014 to 2017 and is currently an Associate Editor of the IEEE Control System Letters, IEEE Transactions on Signal and Information Processing over Networks, and IEEE Open Journal of Signal Processing. He is the Lead Guest Editor for the Proceedings of the IEEE Special Issue on Optimization for Data-driven Learning and Control and a Guest Associate Editor for IEEE Control System Letters Special Issue on Learning and Control both to appear in 2020. He is the Technical Area Chair for the Networks track in IEEE 2020 Asilomar Conference on Signals Systems and Computers. He has served on the TPCs of several IEEE conferences and has organized and chaired several IEEE workshops and sessions.

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