Cecil H. Green Professor of Electrical Engineering and Computer Science
Massachusetts Institute of Technology (MIT)
Coding for delay
Coding has generally been considered the context of improving throughput and reliability, generally at the cost of delay incurred through coding. It may seem paradoxical, then, that coding is effective in reducing delay, particularly when used at the network layer. We discuss the inherent trade-off between throughput and in-order packet delivery delay, and its relation to feedback delay. We show how coding can improve upon feedback based schemes, but argue that coding for de;ay is perforce not of a traditional block or rateless type.
Biography: Muriel Médard is the Cecil H. Green Professor of Electrical Engineering and Computer Science at the Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA. Her research interests are in the areas of network coding and reliable communications. She has served as an Editor of many IEEE publications, and is currently the Editor-in-Chief of the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS. She served on the Board of Governors of the IEEE Information Theory Society, for which she was President in 2012. She has served as a TPC Chair or General Chair for several IEEE conferences. She was the recipient of the 2013 MIT Graduate Student Council EECS Mentor Award, the 2009 Communication Society and Information Theory Society Joint Paper Award, the 2009 William R. Bennett Prize in the Field of Communications Networking, the 2002 IEEE Leon K. Kirchmayer Prize Paper Award, and several conference paper awards. She was also a co-recipient of the MIT 2004 Harold E. Edgerton Faculty Achievement Award. In 2007, she was named a Gilbreth Lecturer by the U.S. National Academy of Engineering.
Ms. Ana Juan Ferrer
AD Cloud Lab
Atos Research and Innovation
Title: (not yet available)
Biography: Ana Juan Ferrer is Head of Lab of AD Cloud Lab in Atos Research and Innovation, group which focuses its research on Cloud and Edge Computing technologies, distributed systems and service engineering. Currently, she is coordinating the ASCETIC project that investigates methods and tools to support eco-efficient software development and execution in Cloud environments. Previously, she coordinated OPTIMIS project, investigating platforms and architectures for scalable and trustful hybrid Cloud services platforms. Other projects she contributes/has contributed to include: AGILE, MCloudDaaS, STRATEGIC, Helix Nebula, SLALOM, NUBA, NEXOF-RA, BEinGRID and Crosswork. Ana currently acts as Cluster leader for the E2 Software & Services, Cloud Computing Unit “Inter-cloud Challenges, Expectations and Issues” cluster, which agglutinates collaboration of thirteen related projects. Ana also participates in the Atos Scientific Community, a network of some 100 members whose aim is to guide company strategy at the highest level in relation to innovation. In this forum, Ana leads the working group on Cloud Computing continuum, aiming to identify and materialize opportunities for Atos in advanced cloud models such as Fog Computing and multi-cloud hybrid models.
Prof. Xiang-Yang Li
School of Computer Science
University of Science and Technology of China
Internet of Things: Wireless Networking, Sensorless Sensing, and Battery-less Networking
Internet of Things was proposed about a decade ago, and since then has attracted many research interests in both academia and industry. In the last few years, the industry has picked up the steam and developed a number of real-world applications with specialized hardware and system development. In this talk I will give a brief overview of recent progress on large scale sensor networking, passive and sensorless sensing, and battery-free communication and networking. We also review some of our effort in designing some basic theories related to Internet of Things, our effort in designing large scale sensor networks, some progress in designing sensorless sensing/battery-free networking, and vision about future research directions in this area. I will use sensorless sensing and high-accurate localization as running examples to illustrate our effort and endeavors in this fast-growing area.
Biography: Dr. Xiang-Yang Li is a professor and Executive Dean at School of Computer Science and Technology, USTC. He is an IEEE fellow (2015), an ACM Distinguished Scientist (2014). He was a full professor at Computer Science Department of IIT, and an EMC Visiting Chair Professor at Tsinghua University (2013-2016). He received China NSF Outstanding Overseas Young Researcher (B) in 2008. Dr. Li received MS (2000) and PhD (2001) degree at Department of Computer Science from University of Illinois at Urbana-Champaign. He received a Bachelor degree at Department of Computer Science from Tsinghua University, P.R. China, in 1995. He published a monograph “Wireless Ad Hoc and Sensor Networks: Theory and Applications”. He also co-edited the book “Encyclopedia of Algorithms”.
His research interests include wireless networks, mobile computing, privacy and security, cyber physical systems, social networking, and algorithms. He has published more than 120 papers in top-tier journals, and 200 papers in well-known international conferences. His Google-scholar citation is more than 13,000, and H-index is 62. Dr. Li and his students won five best paper awards (IEEE GlobeCom 2016, IEEE IPCCC 2014, ACM MobiCom 2014, COCOON 2001, IEEE HICSS 2001), the best demo award from ACM MobiCom 2012, the best poster award from ACM MobiCom 2016, and was selected as best paper candidates three times (BigCom 2015, ACM MobiCom 2008, ACM MobiCom 2005).
Dr. Li has served or is serving as an editor of several journals, including IEEE/ACM Transaction on Networking, IEEE Transaction on Parallel and Distributed Systems, and IEEE Transaction on Mobile Computing. He served at various capacities (conference chair, TPC chair, or local arrangement chair) in a number of conferences, including TPC chair of ACM MobiHoc 2014. His research has been supported by NSF, NSFC, and RGC HongKong. He has graduated eleven PhD students since 2004.