Data Driven Networking
Data Driven Networking
David Love (Purdue University)
A Multi-Agent Reinforcement Learning Perspective on Distributed Network Optimization
Tian Lan (George Washington University)
Bio: Tian Lan is a professor in the Department of Electrical and Computer Engineering at the George Washington University. He received his Ph.D. from the Department of Electrical Engineering at the Princeton University in 2010, M.S. from the Department of Electrical and Computer Engineering at the University of Toronto in 2005, and B.A.Sc. in Electrical Engineering from the Tsinghua University in 2003. His research areas include network optimization and algorithms, and reinforcement learning. He received four best paper awards, including 2019 SecureComm Best Paper Award, 2012 INFOCOM Best Paper Award, and 2008 IEEE Signal Processing Society Best Paper Award.
Multi-Objective Reinforcement Learning with Concave Utilities
Vaneet Aggarwal (Purdue University)
Bio: Vaneet Aggarwal received the B.Tech. degree from the Indian Institute of Technology, Kanpur, India in 2005, and the M.A. and Ph.D. degrees in 2007 and 2010, respectively from Princeton University, Princeton, NJ, USA, all in Electrical Engineering. He is currently an Associate Professor at Purdue University, West Lafayette, IN, where he has been since Jan 2015. He was a Senior Member of Technical Staff Research at AT&T Labs-Research, NJ (2010-2014), Adjunct Assistant Professor at Columbia University, NY (2013-2014), and VAJRA Adjunct Professor at IISc Bangalore (2018-2019). His current research interests are in machine learning and networking areas.
Dr. Aggarwal received Princeton University's Porter Ogden Jacobus Honorific Fellowship in 2009, the AT&T Vice President Excellence Award in 2012, the AT&T Key Contributor Award in 2013, the AT&T Senior Vice President Excellence Award in 2014, and the Purdue Most Impactful Faculty Innovator in 2020. He received the 2017 Jack Neubauer Memorial Award recognizing the Best Systems Paper published in the IEEE Transactions on Vehicular Technology, and the 2018 Infocom Workshop HotPOST Best Paper Award. He was on the Editorial Board of IEEE Transactions on Green Communications and Networking, and is currently on the Editorial Board of the IEEE Transactions on Communications and the IEEE/ACM Transactions on Networking.
Mitigating the impact of micro-burst traffic by data-driven routing
Dan Li (Tsinghua University)
Bio: Dan Li is currently a full professor in computer science department, Tsinghua University. His research interests include data center networking, data-driven networking and trusty worthy Internet.
Real-Time Video Streaming Optimization: A Reinforcement Learning Approach
Anfu Zhou (Beijing University of Posts and Telecommunications)
Bio: Anfu Zhou is now a professor at the school of computer science, Beijing University of Posts and Telecommunications. He received his Ph.D degree in computer science from the Institute of Computing Technology (ICT), Chinese Academy Sciences (CAS), and B.S. degree from Renmin University of China. His research interest lies in mobile computing, particularly Millimeter-Wave sensing and low-latency video streaming. He has published dozens of top-tier conference/journal papers, including SIGCOMM, MobiCom, NSDI, etc, He is a recipient of many research awards including CCF-Intel Young Talent (2016), ACM China Rising Star (2019) and also Alibaba Innovative Research Award (2020).
Christopher G. Brinton (Purdue), Liang Liu (BUPT)