Akbar M. Sayeed is a Professor of Electrical and Computer Engineering at the University of Wisconsin-Madison and leads the Wireless Communications and Sensing Laboratory. He recently served as a Program Director at the National Science Foundation (NSF) in the Communications, Circuits, and Sensing Systems (CCSS) Program of the Electrical, Communications and Cyber Systems (ECCS) Division of the Engineering Directorate. He received the B.S. degree from the University of Wisconsin, the M.S. and Ph.D. degrees from the University of Illinois, and was a postdoctoral fellow at Rice University before joining UW-Madison as an Assistant Professor.
He is a recipient of the Robert T. Chien Memorial Award for his doctoral work, the NSF CAREER Award, and the ONR Young Investigator Award. He is a Fellow of the IEEE, and has served the IEEE in a number of capacities, including as a member of Technical Committees, Guest Editor for special issues, Associate Editor, and as Technical Program Co-chair for workshops and conferences. His research interests include wireless communications, channel modeling, statistical signal processing, communication and information theory, time-frequency analysis, machine learning, and applications. A current focus is the development of basic theory, system architectures, and testbeds for emerging wireless technologies, including millimeter-wave wireless and high-dimensional multi-antenna multiple input multiple output (MIMO) systems. He also led the creation of the NSF Research Coordination Network on Millimeter-Wave Wireless in October 2016.
At the NSF, Dr. Sayeed’s program portfolio covered a broad range of topics spanning communications, sensing, signal processing, imaging, and integrated design of hardware and algorithms for information processing systems. He was a member of two Working Groups relating to two of the 10 NSF Big Ideas: 1) The Quantum Leap Working Group which is an NSF-wide effort for developing new cross-disciplinary initiatives for advancing Quantum Information Science and Engineering, and 2) The Harnessing the Data Revolution Working Group which is an NSF-wide effort for developing new cross-disciplinary initiatives for advancing Data Science and Engineering.