JTG/IEEE ITSoc Summer School 2022

2022 Joint Telematics Group/IEEE Information Theory Society Summer School

on Signal Processing, Communications and Networks

IIT Mandi, 20 - 23 June, 2022

Summer School Program - A Summary

Multi-session Events

Course 1: Bitcoin and blockchains by David Tse

Course 2: Introduction to information theory and network coding by Raymond W. Yeung

Course 3: Selected Topics on 6G by Aylin Yener

Single Session Events

Research Talk 1: Leveraging edge resources for service hosting by Sharayu Moharir

Research Talk 2: Sparse recovery: theory, algorithms, and applications by Mayank Bakshi

Research Talk 3: Capacity-achieving codes for the binary erasure channel via discrete Fourier transform by Lakshmi Prasad Natarajan

Research Talk 4: Codes for distributed gradient descent by Lalitha Vadlamani

Research Talk 5: Online learning and control under constraints by Rahul Singh

Industry Session I: A trip to the industry: Saankhya Labs

Industry Session II: 802.11be WLAN Physical Layer by Ashutosh Deepak Gore

Poster Session I

Poster Session II


David Tse, Stanford University

David Tse received the BASc degree in systems design engineering from University of Waterloo in 1989, and the MS and PhD degrees in electrical engineering from Massachusetts Institute of Technology in 1991 and 1994 respectively. From 1994 to 1995, he was a postdoctoral member of technical staff at A.T. & T. Bell Laboratories. From 1995 to 2014, he was on the faculty of the University of California at Berkeley. He is currently the Thomas Kailath and Guanghan Xu Professor at Stanford University.

David Tse was elected member of the U.S. National Academy of Engineering in 2018. He was the recipient of the IEEE Claude E. Shannon Award in 2017 and the IEEE Richard W. Hamming Medal in 2019. Previously, he received a NSF CAREER award in 1998, the Erlang Prize from the INFORMS Applied Probability Society in 2000 and a Gilbreth Lectureship from the National Academy of Engineering in 2012. He received multiple best paper awards, including the Information Theory Society Paper Award in 2003, the IEEE Communications Society and Information Theory Society Joint Paper Awards in 2000, 2013 and 2015, the Signal Processing Society Best Paper Award in 2012 and the IEEE Communications Society Stephen O. Rice Prize in 2013. For his contributions to education, he received the Outstanding Teaching Award from the Department of Electrical Engineering and Computer Sciences at U.C. Berkeley in 2008 and the Frederick Emmons Terman Award from the American Society for Engineering Education in 2009. He is a coauthor, with Pramod Viswanath, of the text Fundamentals of Wireless Communication, which has been used in over 60 institutions around the world. He is the inventor of the proportional-fair scheduling algorithm used in all third and fourth-generation cellular systems, serving 2.7 billion subscribers around the world. He is a member of the Stanford Center for Blockchain Research.

Raymond W. Yeung, The Chinese University of Hong Kong

Raymond W. Yeung received the BS, MEng and PhD degrees in electrical engineering from Cornell University in 1984, 1985, and 1988, respectively. He joined AT&T Bell Laboratories in 1988. Since 1991, he has been with CUHK, where he is currently Choh-Ming Li Professor of Information Engineering. A cofounder of the field of network coding, he has been serving as Co-Director of the Institute of Network Coding since 2010. He is the author of the books A First Course in Information Theory (Kluwer Academic/Plenum Publishers, 2002) and Information Theory and Network Coding (Springer 2008), which have been adopted by over 100 institutions around the world. In spring 2014, he gave on Coursera the first MOOC in the world on information theory that reached over 25,000 students. Since then, the MOOC has been offered regularly on Coursera and other platforms. His research interest is in information theory and network coding. He was a consultant in a project of Jet Propulsion Laboratory for salvaging the malfunctioning Galileo Spacecraft.

Professor Yeung was a member of the Board of Governors of the IEEE Information Theory Society from 1999 to 2001. He has served on the committees of a number of information theory symposiums and workshops. He was the General Chair of the First Workshop on Network, Coding, and Applications (NetCod 2005), a Technical Co-Chair of the 2006 IEEE International Symposium on Information Theory, a Technical Co-Chair of the 2006 IEEE Information Theory Workshop, Chengdu, and a General Co-Chair of the 2015 IEEE International Symposium on Information Theory.

Professor Yeung also has served on the editorial board of a number of academic journals. He was an Associate Editor for Shannon Theory of the IEEE Transactions on Information Theory from 2002 to 2005. He currently serves as an Editor-at-Large of Communications in Information and Systems, an Editor of Foundation and Trends in Communications and Information Theory, an Editor of Foundation and Trends in Networking, and a Senior Editor of IEEE Journal on Selected Areas in Information Theory. He is also on the Steering Committee of IEEE BITS the Information Theory Magazine.

He was a recipient of the Croucher Senior Research Fellowship for 2000/01, the Best Paper Award (Communication Theory) of the 2004 International Conference on Communications, Circuits and System, the 2005 IEEE Information Theory Society Paper Award, the Friedrich Wilhelm Bessel Research Award from the Alexander von Humboldt Foundation in 2007, the 2016 IEEE Eric E. Sumner Award, the 2018 ACM SIGMOBILE Test-of-Time Paper Award, the Gold Medal with Congratulations from the Jury at the 47th International Exhibition of Invention of Geneva (2019), the 2021 IEEE Richard W Hamming Medal, and the 2022 Claude E. Shannon Award. In 2015, he was named an Outstanding Overseas Chinese Information Theorist by the China Information Theory Society.

Professor Yeung was a Changjiang Chair Professor of Xidian University, an Advisory Professor of Beijing University of Posts and Telecommunications, and an Adjunct Professor of the Institute of Interdisciplinary Information Sciences at Tsinghua University. He is currently a Guest Professor of Southeast University and a Huashan Scholar of Xidian University. He is a Fellow of the IEEE, Hong Kong Academy of Engineering Sciences, and Hong Kong Institution of Engineers.

Aylin Yener, The Ohio State University

Aylin Yener holds the Roy and Lois Chope Chair in Engineering at The Ohio State University since January 2020, and is a professor of Electrical and Computer Engineering, with joint appointments in Computer Science and Engineering and in Integrated Systems Engineering. Until December 2019, she was a distinguished professor of Electrical Engineering and a Dean’s Fellow at Penn State, where she joined in 2002 as an assistant professor. In 2008-2009, she was a visiting associate professor in the Electrical Engineering Department at Stanford University, and in 2016-2017 she was a visiting professor in the same department. She also held a visiting position in Telecom Paris Tech in the summer of 2016. In 2001, she held the P.C. Rossin assistant professorship at EECS at Lehigh University.

Yener’s research studies networked entities. Her current focus areas relate to various pillars of next generation connectivity of computing, communicating and sensing entities (known as 6G) including smart environments, artificial intelligence and security/privacy. Yener is known for introducing several "first papers" in communications and information theory that led to research areas including physical layer security (2005 thanks to NSF), energy harvesting wireless communication networks (2009 thanks to NSF) (co-inventor), and semantic communications (2012 thanks to ARL). She is an unusual theorist who gets inspired by futuristic applications and seeks to make real life impact by foundational thinking.

Yener is a fellow of the IEEE. She received the IEEE Communication Society Communication Theory Technical Achievement Award in 2020, the IEEE Communications Society Best Tutorial Paper Award in 2019, the IEEE Women in Communications Outstanding Achievement Award in 2018, the IEEE Marconi Prize Paper Award in 2014, and the IEEE ICC best paper award in 2010. In 2017, she was a Clariviate Analytics highly cited researcher. She has been a Distinguished Lecturer for three professional societies: IEEE Communication Society (2018-2019), IEEE Information Theory Society (2019-2021) and IEEE Vehicular Technology Society (2017-2021). She has delivered over forty technical keynotes and invited lectures to date.

An active volunteer for IEEE, Yener was the president of the IEEE Information Theory Society in 2020. She is currently the Senior Past President of the IEEE Information Theory Society. She also serves on the adcom for the IEEE Systems Council and is an elected member (among former society presidents) of the nominations and appointments committee of the Technical Activities Board of the IEEE. She has held numerous volunteer roles (such as conference chair/organizer, editor) for the IEEE Communications, Information Theory, Signal Processing and Vehicular Technology Societies. She is presently serving as a senior editor for IEEE Journal on Selected Areas in Communications (JSAC) and for IEEE Journal on Selected Areas in Information Theory (JSAIT) and is the area editor for Security and Privacy of the IEEE Transactions on Information Theory. She is also the Technical Program Committee Chair for the IEEE International Symposium on Information Theory 2022 in Helsinki, Finland, the community's flagship conference.

Yener has mentored and trained 16 PhD students and 5 postdocs to date, who have gone on to professorships (with early career awards), and various top industries. She is committed to educational broader impact and is the co-founder of the IEEE North American School of Information Theory which runs annually since 2008.

Sharayu Moharir, Indian Institute of Technology Bombay

Sharayu Moharir is an Associate Professor in the Department of Electrical Engineering, Indian Institute of Technology Bombay since 2016. Prior to joining IIT Bombay, she was a visiting fellow in the School of Technology and Computer Science at the Tata Institute of Fundamental Research (TIFR), Mumbai from 2014-2015. She obtained her Ph.D. in Electrical and Computer Engineering from the University of Texas at Austin in 2014 and B.Tech. in Electrical Engineering and M.Tech. in Communications and Signal Processing from IIT Bombay in 2009. Her research interests are modeling and the design of scalable resource allocation algorithms for networks.

Mayank Bakshi, Arizona State University (Formerly with Huawei, Hong Kong)

Mayank Bakshi is a Research Scientist at Arizona State University. Prior to this, he was a Principal Researcher at Theory Lab, Huawei Hong Kong and a Research Assistant Professor at the Institute of Network Coding, Chinese University of Hong Kong. He obtained his B.Tech and M.Tech from IIT Kanpur in 2003 and 2005 respectively, and PhD from Caltech in 2011, all in Electrical Engineering. His research interests include information theoretic security, network information theory, and sparse recovery.

Lakshmi Prasad Natarajan, Indian Institute of Technology Hyderabad

Lakshmi Prasad Natarajan is an Assistant Professor in the Department of Electrical Engineering, Indian Institute of Technology Hyderabad. He received the B.E. degree from the College of Engineering, Guindy, in electronics and communication in 2008, and the Ph.D. degree from the Indian Institute of Science, Bangalore, in 2013. Between 2014 and 2016 he held a post-doctoral position at the Department of Electrical and Computer Systems Engineering, Monash University, Australia. His primary research interests are coding techniques and information theory for communication systems.

Lalitha Vadlamani, International Institute of Information Technology, Hyderabad

Lalitha Vadlamani received her B.E. degree in Electronics and Communication Engineering from the Osmania University, Hyderabad, in 2003 and her M.E. and Ph.D. degrees from the Indian Institute of Science (IISc), Bangalore, in 2005 and 2015 respectively. From May 2015, she is working as Assistant professor in IIIT Hyderabad, where she is affiliated to Signal Processing and Communications Research Center.

From 2006 to 2008, she worked as an engineer at Qualcomm, Hyderabad (2006) and design engineer at Conexant Systems, Noida (2006-2008). Prior to joining IIIT Hyderabad, she worked as a research intern at Microsoft Research, Bangalore. Her research interests include coding for distributed storage and computing, index coding, polar codes, learning-based codes and coded blockchains. She is a recipient of Prof. I.S.N. Murthy medal from IISc, 2005 and the TCS Research Scholarship for the year 2011.

Rahul Singh, Indian Institute of Science, Bangalore

Dr. Rahul Singh is currently with ECE, IISc Bangalore. His research interests are in stochastic control, machine learning, reinforcement learning and networks. His work on age of information was a runner-up for the best paper award at Mobihoc 2020.

Ashutosh Deepak Gore, Qualcomm

Ashutosh Deepak Gore obtained his B.Tech. and Ph.D. degrees from IIT Bombay, and M.S. degree from University of Hawaii, all in Electrical Engineering. He worked in Nortel Networks, USA from 2000 to 2002. From 2008 onwards, he has worked in various semiconductor companies in India, viz. Marvell Semiconductor, Broadcom, Samsung R&D and Qualcomm, where he is currently Principal Engineer/Manager. His work in Qualcomm focusses on PHYsical layer algorithms and functional reference models for next generation (IEEE 802.11be compliant) wireless local area networks. He joined Qualcomm in May 2016 and seeded the WLAN PHY modeling group in Qualcomm Bangalore. His team developed several key PHY blocks in multiple generations of WLAN AP & STA chipsets. He has 10 US granted patents and 14 approved for filing. He has published 3 IEEE journal papers and 8 conference papers.