The goal of this session is to offer to the PhD students and early career Post-docs attending the Performance 2021 conference (even without presenting a paper) the opportunity to meet each other and get feedback on their work.  

In this session PhD students and Post-docs can meet experienced researchers  and  get  comments on their work.  

The session is scheduled on Friday November 12 and will last about 1-1.5 hour starting at 11.00 NYC time.

We invite the interested people to book their slot at the following link and prepare a 5-10 minutes presentation on their work.  After your presentation, you will get comments and discuss with the experts for other 10 minutes.  The time will be managed according to the actual number of students participating in this session. Four Meet the star sessions will run in parallel with the keynote speakers, Prof. Leandros Tassiulas, and Prof. R. Srikant.

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 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.