Leandros Tassiulas (S’89, M’91, SM/05 F/07) is the John C. Malone Professor of Electrical Engineering at Yale University. His research interests are in the field of computer and communication networks with emphasis on fundamental mathematical models and algorithms of complex networks, architectures and protocols of wireless systems, sensor networks, novel internet architectures and experimental platforms for network research. His most notable contributions include the max-weight scheduling algorithm and the back-pressure network control policy, opportunistic scheduling in wireless, the maximum lifetime approach for wireless network energy management, and the consideration of joint access control and antenna transmission management in multiple antenna wireless systems. Dr. Tassiulas is a Fellow of IEEE (2007) and of ACM (2020). His research has been recognized by several awards including the IEEE Koji Kobayashi computer and communications award (2016), the ACM SIGMETRICS achievement award 2020, the inaugural INFOCOM 2007 Achievement Award “for fundamental contributions to resource allocation in communication networks,” several best paper awards including the INFOCOM 1994, 2017 and Mobihoc 2016, a National Science Foundation (NSF) Research Initiation Award (1992), an NSF CAREER Award (1995), an Office of Naval Research Young Investigator Award (1997) and a Bodossaki Foundation award (1999). He holds a Ph.D. in Electrical Engineering from the University of Maryland, College Park (1991). He has held faculty positions at Polytechnic University, New York, University of Maryland, College Park, University of Ioannina and University of Thessaly, Greece.

R. Srikant is the Fredrick G. and Elizabeth H. Nearing Endowed Professor of Electrical and Computer Engineering and Coordinated Science Lab at the University of Illinois at Urbana-Champaign. He is also one of two Co-Directors of the C3.ai Digital Transformation Institute, a research consortium of multiple universities and industries jointly headquartered at UC Berkeley and UIUC, whose goal is to promote the use of AI, machine learning and cloud computing to solve societal problems. His research interests include applied probability, machine learning, and communication networks. He is a winner of the ACM SIGMETRICS Achievement Award, the IEEE Koji Kobayashi Computers and Communication Award, the IEEE INFOCOM Achievement Award, and the Distinguished Alumnus Award from the Indian Institute of Technology, Madras. He has won several best paper awards including the Applied Probability Society’s Best Publication Award, the IEEE INFOCOM Best Paper Award, and the WiOpt Best Paper Award.