Part 1 Amir Leshem (IEEE senior member) received the B.Sc.(cum laude, Talpiot project) in mathematics and physics, the M.Sc. (cum laude) in mathematics, and the 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 fellow working on algorithms for the reduction of terrestrial electromagnetic interference in radio-astronomical radio-telescope antenna arrays and signal processing for communication. From 2000 to 2003 he was director of advanced technologies with Metalink Broadband where he was responsible for research and development of new DSL and wireless MIMO modem technologies and served as a member of several international standard setting groups such as ITU-T SG15, ETSI TM06, Part 2 NIPP-NAI, IEEE 802.3 and 802.11. From 2000 to 2002 he was also a visiting researcher at Delft University of Technology. In 2002 he joined Bar-Ilan University where he is one of the founders of the faculty of engineering and a full professor and head of the communications research track. In 2009 he spent his sabbatical at Delft University of Technology and Stanford University. Prof. Leshem was an associate editor for IEEE Transactions on Signal processing 2008- 2011, was the leading guest editor of several special issues of IEEE Signal Processing Magazine and IEEE Journal on Selected topics in Signal Processing. His main research interests include wireless networks, applications of game theory to wireless networks, signal and information processing networks with applications to sensor and social networks, multichannel wireless and wireline communication, Part 3 dynamic and adaptive spectrum management of communication networks, array and statistical signal, radio-astronomical imaging, set theory, logic and 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