Padovani Lecturer: Emre Teletar
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The Padovani Lecturer Program was established with a generous gift by Dr. Roberto Padovani in 2009. The award provides for an outstanding member of the information theory community to deliver a lecture at one of the ITSoc’s Schools of Information Theory, for the benefit of students and postdoctoral researchers.
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I. Emre Telatar received the B.Sc. degree in electrical engineering from the Middle East Technical University, Ankara, Turkey, in 1986. He received the S.M. and Ph.D. degrees in electrical engineering and computer science from the Massachusetts Institute of Technology, Cambridge, in 1988 and 1992 respectively. In 1992, he joined the Communications Analysis Research Department at AT&T Bell Laboratories (later Lucent Technologies), Murray Hill, NJ. He has been at the EPFL since 2000. Emre Telatar was the recipient of the Â鶹´«Ã½AV Information Theory Society Paper Award in 2001. He was a program co-chair for the Â鶹´«Ã½AV International Symposium on Information Theory in 2002, and associate editor for Shannon Theory for the Â鶹´«Ã½AV Information Theory Transactions from 2001 to 2004. He was awarded the EPFL Agepoly teaching prize in 2005. Emre Telatar's research interests are in communication and information theories.
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Goldsmith Lecturer: Gauri Joshi
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The Goldsmith Lecturer Program was established with a generous gift by Dr. Andrea Goldsmith and is supported by several corporate sponsors. The award provides travel support for an outstanding early-career woman researcher to deliver a lecture at one of the ITSoc’s Schools of Information Theory, held for the benefit of students and post-doctoral researchers. By highlighting technical achievements of early career women, the ITSoc Goldsmith Lecturer Program helps the award recipients build their professional career and recognition. The Lectureship contributes to the public visibility of the researcher and helps increase the diversity of Â鶹´«Ã½AV ITSoc and Â鶹´«Ã½AV as a whole, as women are an under-represented group in both. The award recipient will also serve as a role model and inspiration to diverse students attending the Information Theory Schools.
Gauri Joshi is an associate professor in the Electrical and Computer Engineering (ECE) department at CMU, with courtesy/affiliate appointments in the Machine Learning department (MLD) and the Robotics Institute (RI). Before joining CMU in Fall 2017, she was a Research Staff Member at the . She completed her Ph.D. from in 2016 and received my B.Tech and M. Tech in Electrical Engineering from in 2010.ÌýÌý
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Distinguished Lecturers: Alex Sprintson, Venu Veeravalli, Mohammad Maddah-Ali, Ali Tajer, and Hye Won Chung
The Distinguished Lecturers Program was established to promote interest in information theory by supporting its local chapters to invite prominent information theory researchers to give lectures at their events.
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Alex Sprintson is a faculty member in the Department of Electrical and Computer Engineering at Texas A&M University, College Station. His research focuses on security and privacy, network coding, and distributed storage systems. He has been recognized with the TAMU College of Engineering Outstanding Contribution Award and the NSF CAREER Award. From 2013 to 2019, he served as an Associate Editor for the Â鶹´«Ã½AV Transactions on Wireless Communications. He has been a member of the Technical Program Committee for Â鶹´«Ã½AV INFOCOM from 2006 to 2023 and served as a Technical Program Committee co-chair in 2024. From September 2018 to September 2022. He was a rotating Program Director at the U.S. National Science Foundation (NSF), where he led the Resilient & Intelligent NextG Systems (RINGS) and Secure and Trustworthy Cyberspace (SaTC) programs. Following his tenure at NSF, he served as the Network Security Principal at Nokia Bell Labs from October 2022 to December 2023, leading a research team specializing in post-quantum cryptography and crypto-agility. He is a fellow of the Â鶹´«Ã½AV.
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Venugopal V. Veeravalli received the B.Tech. degree (Hons.) from IIT Bombay in 1985, the M.S. degree from Carnegie Mellon University, Pittsburgh, PA, in 1987, and the Ph.D. degree from the University of Illinois at Urbana–Champaign in 1992, all in electrical engineering. He joined the University of Illinois at Urbana–Champaign in 2000, where he is currently the Henry Magnuski Professor with the Department of Electrical and Computer Engineering, and where he is also with the Department of Statistics and the Coordinated Science Laboratory. Prior to joining the University of Illinois at Urbana–Champaign, he was on the Faculty of the ECE Department, Cornell University. He was the Program Director for communications research in the U.S. National Science Foundation from 2003 to 2005. His research interests span the theoretical areas of statistical inference, machine learning, and information theory, with applications to data science, wireless communications, and sensor networks. He is a Fellow of the Â鶹´«Ã½AV and a Fellow of the Institute of Mathematical Statistics. Among the awards he has received for research and teaching are the Â鶹´«Ã½AV Browder J. Thompson Best Paper Award in 1996, the Presidential Early Career Award for Scientists and Engineers (PECASE) in 1999, the Wald Prize in Sequential Analysis in 2015 and 2019, and the Fulbright-Nokia Distinguished Chair in Information and Communication Technologies in 2023. He served on the Board of Governors of the Â鶹´«Ã½AV Information Theory Society from 2004 to 2007, and is currently serving a second term. He served on the SPTM Technical Committee from 2011 to 2016 and the Big Data SIG from 2017 to 2019. He is currently the Editor-in-Chief of Â鶹´«Ã½AV Transactions on Information Theory. He has been an Associate Editor for Detection and Estimation of Â鶹´«Ã½AV Transactions on Information Theory and Â鶹´«Ã½AV Transactions on Wireless Communications. He has also been a Senior Area Editor of the Â鶹´«Ã½AV Open Journal on Signal Processing and an Area Editor for Statistics and Machine Learning of Â鶹´«Ã½AV Transactions on Information Theory. He was a Distinguished Lecturer of the Â鶹´«Ã½AV Signal Processing Society from 2010 to 2011.
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Mohammad Maddah-AliÌý received the B.Sc. degree from Isfahan University of Technology, and the M.A.Sc. degree from the University of Tehran, both in electrical engineering. From 2002 to 2007, he was with the Coding and Signal Transmission Laboratory (CST Lab), Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada, working toward the Ph.D. degree. From 2007 to 2008, he worked at the Wireless Technology Laboratories, Nortel Networks, Ottawa, ON, Canada.Ìý From 2008 to 2010, he was a post-doctoral fellow in the Department of Electrical Engineering and Computer Sciences at the University of California at Berkeley. Since September 2010, he has been at Nokia Bell Laboratories,Ìý Holmdel, NJ, as a communication network research scientist.Ìý
Dr. Maddah-Ali receivedÌý NSERC Postdoctoral Fellowship in 2007, a best paper award from Â鶹´«Ã½AV International Conference on Communications (ICC) in 2014, and theÌý Â鶹´«Ã½AV Communications Society and Information Theory Society Joint Paper Award in 2015.
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ÌýAli Tajer received the B.Sc. and M.Sc. degrees in Electrical Engineering from Sharif University of Technology in 2002 and 2004, respectively. During 2007-2010, he was with Columbia University, receiving an M.A. in Statistics and a Ph.D. in Electrical Engineering. During 2010-2012, he was a Postdoctoral Research Associate at Princeton University. He is currently a Professor of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute. His research interests include information theory, mathematical statistics, and machine learning. He is currently an Associate Editor for the Â鶹´«Ã½AV Transactions on Information Theory and a Senior Area Editor for the Â鶹´«Ã½AV Transactions on Signal Processing. In the past, he has also served as an Editor for the Â鶹´«Ã½AV Transactions on Signal Processing, Â鶹´«Ã½AV Transactions on Communications, andÌý Â鶹´«Ã½AV Transactions on Smart Grid. He has received an NSF CAREER award, AFRL Faculty Fellowship, the Jury Award for Excellence in Research (Columbia University), Research Excellence Award for Junior Faculty (Rensselaer), Teaching Excellence Award (Rensselaer), James M. Tien ’66 Early Career Award (Rensselaer), and Research Excellence Award for Senior Faculty (Rensselaer).Ìý
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Hye Won Chung is an Associate Professor at the School of at . She completed her Ph.D. in Electrical Engineering and Computer Science () at in 2014. From 2014 to 2017, she worked at as a research fellow. She received her M.S. from , and B.S. (with summa cum laude) from in Korea, all in the Department of EECS.
Her research interests include data science, information theory, statistical inference, machine learning, and quantum information.
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