Amir Leshem (IEEE Fellow) received his B.Sc. (Cum Laude, Talpiot project) in mathematics and physics, his M.Sc. (Cum Laude) in mathematics, and his Ph.D. in mathematics all from the Hebrew University, Jerusalem, Israel, in 1986, 1990 and 1998 respectively. From 1998 to 2000 he was with Faculty of Information Technology and Systems, Delft University of Technology, The Netherlands, as a postdoctoral researcher working on problems of signal processing for radio astronomy. From 2000 to 2003 he was the director of advanced technologies at Metalink Broadband where he was responsible for the research and development of new DSL and wireless MIMO modem technologies and served as a member of several international standard-setting groups such as ETSI TM06 and ITU-T SG15. From 2000 to 2002 he was also a visiting researcher at Delft University of Technology. In 2002 he joined Bar-Ilan University where he was one of the founders of the Faculty of Engineering and a full professor. He was head of the Signal Processing and Communications tracks, 2002-2014 and 2014-2017 respectively.  In 2009 he spent his sabbatical at Delft University of Technology and Stanford University. Prof. Leshem was an associate editor of IEEE Trans. on Signal Processing 2008-2011, and the leading guest editor of several special issues of the IEEE Signal Processing Magazine and the IEEE Journal on Selected Topics in Signal Processing. From 2017 to 2021 he was associate editor for IEEE Trans. on Signal and information processing over networks. On January 2022  he was elevated to IEEE Fellow for contributions to multi-channel and multi-agent signal processing.

His main research interests include multi-agent learning over networks and multi-agent learning under limited communications, models for opinion dynamics and information propagation in social networks, wireless networks, applications of game theory to networks, signal, and information processing networks with applications to sensor and social networks, multichannel wireless and wireline communication, array and statistical signal, radio-astronomical imaging, set theory, logic and the foundations of mathematics

• Applications of Game Theory to Communications and Networking
• Game Theoretic Learning
• Wireless Communication Networks
• 5G Cellular Networks
• Statistical and Array Signal Processing
• Signal Processing Techniques for (energy limited) Sensor Networks
• Applications of signal Processing to Radio Astronomical Imaging
• Set Theory and Mathematical Logic