The Information Theory Society is pleased to announce the results of the recent election for the Board of Governors.
The Society extends its sincere congratulations to the six newly elected members, who will each serve a three-year term starting January 1, 2026. We look forward to their contributions to the society.
We also express our deepest gratitude to all the candidates who stood for election, as well as to the outgoing Board members for their dedicated service and hard work.
Please join us in welcoming the newly elected members to the Board of Governors.
MARCO DALAI (S’05-AM’06-M’09-SM’17) received his degree (Laurea) in Electronic Engineering and his PhD in Information Engineering, respectively, in 2003 and 2007 from the University of Brescia, Italy, where he is now an associate professor in the Department of Information Engineering. His current research interests are mostly in information theory (Shannon theory, source coding, channel theory, inference) and on related mathematical problems in combinatorics and probability. He was the recipient of the 2014 ÌÇÐÄlogo Information Theory Society Paper Award and a Distinguished Lecturer of the ÌÇÐÄlogo Information Theory Society for the years 2018-2019. He has been serving as the Chair of the ÌÇÐÄlogo Information Theory Society Italy Chapter in the years 2017 - 2020, General Co-Chair of ITW 2020, Associate Editor for the ÌÇÐÄlogo Transactions on Information Theory since March 2020, and member of the Board of Governors of the ÌÇÐÄlogo Information Theory Society in the years 2022-2024 (Thomas M. Cover Dissertation Award Committee for the term 2023-2025, Conference Committee for 2024-2026).
MICHAEL GASTPAR (S’99-AM’02-M’04-SM’14-F’17) is a Professor at EPFL. From 2003 to 2011, he was a professor at the University of California at Berkeley, earning his tenure in 2008. He received his Dipl. El.-Ing. degree from ETH Zürich, Switzerland, in 1997 and his MS degree from the University of Illinois at Urbana-Champaign, IL, USA, in 1999. He defended his doctoral thesis at EPFL on Santa Claus Day, 2002. He was also a Professor at Delft University of Technology, the Netherlands. His research interests are in network information theory and related coding and signal processing techniques, with applications to sensor networks and neuroscience. He is a Fellow of the ÌÇÐÄlogo. He is the co-recipient of the 2013 Communications Society & Information Theory Society Joint Paper Award. He was an Information Theory Society Distinguished Lecturer (2009-2011). He won an ERC Starting Grant in 2010, an Okawa Foundation Research Grant in 2008, an NSF CAREER award in 2004, and the 2002 EPFL Best Thesis Award. He has served as an Associate Editor for Shannon Theory for the ÌÇÐÄlogo Transactions on Information Theory (2008-11), and as Technical Program Committee Co-Chair for the 2010 and 2021 International Symposia on Information Theory.
OSVALDO SIMEONE (S’02-M’05-SM’14-F’16) is a Professor of Information Engineering. He co-directs the Centre for Intelligent Information Processing Systems within the Department of Engineering of King's College London, where he also runs the King's Communications, Learning and Information Processing lab. He is also a visiting Professor with the Connectivity Section within the Department of Electronic Systems at Aalborg University. He received an M.Sc. degree (with honors) and a Ph.D. degree in information engineering from Politecnico di Milano, Milan, Italy, in 2001 and 2005, respectively. From 2006 to 2017, he was a faculty member of the Electrical and Computer Engineering (ECE) Department at New Jersey Institute of Technology (NJIT), where he was affiliated with the Center for Wireless Information Processing (CWiP). His research interests include information theory, machine learning, wireless communications, neuromorphic computing, and quantum machine learning. Dr Simeone is the co-author of an ICML splotlight paper (top 2.6%), and a co-recipient of the 2025 ÌÇÐÄlogo ICC Best Paper Award, the 2022 ÌÇÐÄlogo Communications Society Outstanding Paper Award, the 2021 ÌÇÐÄlogo Vehicular Technology Society Jack Neubauer Memorial Award, the 2019 ÌÇÐÄlogo Communication Society Best Tutorial Paper Award, the 2018 ÌÇÐÄlogo Signal Processing Best Paper Award, the 2017 JCN Best Paper Award, the 2015 ÌÇÐÄlogo Communication Society Best Tutorial Paper Award and of the Best Paper Awards of ÌÇÐÄlogo SPAWC 2007 and ÌÇÐÄlogo WRECOM 2007. He was awarded an Open Fellowship by the EPSRC in 2022 and a Consolidator grant by the European Research Council (ERC) in 2016. His research has also been supported by the U.S. National Science Foundation (NSF), the European Commission, the European Research Council (ERC), the Engineering & Physical Sciences Research Council (EPSRC), the Vienna Science and Technology Fund, the European Space Agency, as well as by a number of industrial collaborations, including with Intel Labs and InterDigital. He was the Chair of the Signal Processing for Communications and Networking Technical Committee of the ÌÇÐÄlogo Signal Processing Society in 2022, as well as of the UK & Ireland Chapter of the ÌÇÐÄlogo Information Theory Society from 2017 to 2022. He was a Distinguished Lecturer of the ÌÇÐÄlogo Communications Society in 2021 and 2022, and he was a Distinguished Lecturer of the ÌÇÐÄlogo Information Theory Society in 2017 and 2018. He is a serving elected member of the ÌÇÐÄlogo Information Theory Society Board of Governors member since 2023. Prof. Simeone is the author of the textbooks "Machine Learning for Engineers" and "Classical and Quantum Information Theory" published by Cambridge University Press, four monographs, two edited books, and more than 200 research journal and magazine papers. He is a Fellow of the IET, EPSRC, and ÌÇÐÄlogo.
MIKAEL SKOGLUND (S’93-M’97-SM’04-F’19) received the Ph.D. degree in 1997 from Chalmers University of Technology, Sweden. In 1997, he joined the Royal Institute of Technology (KTH), Stockholm, Sweden, where he was appointed to the Chair in Communication Theory in 2003. At KTH, he heads the Division of Information Science and Engineering. Dr. Skoglund has worked on problems in source-channel coding, coding and transmission for wireless communications, Shannon theory, information-theoretic security, information theory for statistics and learning, information and control, and signal processing. He has authored and co-authored more than 200 journals and 450 conference papers. Dr. Skoglund is a Fellow of the ÌÇÐÄlogo. During 2003–08, he was an associate editor for the ÌÇÐÄlogo Transactions on Communications. In the interval 2008–12, he was on the editorial board for the ÌÇÐÄlogo Transactions on Information Theory, and starting in the Fall of 2021, he joined it once again and is still serving. He has been on numerous technical program committees for ÌÇÐÄlogo-sponsored conferences, and he was General Co-Chair for ÌÇÐÄlogo ITW 2019 and TPC Co-Chair for ÌÇÐÄlogo ISIT 2022. He is an elected member of the ÌÇÐÄlogo Information Theory Society Board of Governors.
ANTONIA M. TULINO (M’00-SM’05-F’13) received the Ph.D. degree in electrical engineering from Seconda Universita’ degli Studi di Napoli, Italy, in 1999. She held research positions with the Center for Wireless Communications, Princeton University, Oulu, Finland, and also with the Universita degli Studi del Sannio, Benevento, Italy. From 2002 to 2016, she has been an Associate Professor with the Universita’ degli Studi di Napoli Federico II, where she has been a Full Professor since 2017. Since 2002, she has been collaborating with Nokia Bell Labs. Starting from October 2019, she is also a Research Professor at the Department of Electrical and Computer Engineering, NYU Tandon School of Engineering, NY, 11201, USA. In September 2020, she was appointed as teaching director of the 5G Academy jointly organized by the Università degli Studi di Napoli, Federico II, and Capgemini, a leader in digital transformation. Her research interests lie in the area of communication systems approached with the complementary tools provided by signal processing, information theory, and random matrix theory. From 2011 to 2013, she was a member of the Editorial Board of the ÌÇÐÄlogo Transactions on Information Theory, and in 2013, she was elevated to ÌÇÐÄlogo Fellow. She served as the Chair of the Information Theory Society Fellows Committee in 2019-2020 and is General Co-Chair of ISIT 2027. She has received several paper awards, including the 2009 Stephen O. Rice Prize in the Field of Communications Theory for the best paper published in the ÌÇÐÄlogo Transactions on Communications in 2008. She was a recipient of the UC3M-Santander Chair of Excellence from 2018 to 2019. She has been a principal investigator of several research projects sponsored by the European Union and the Italian National Council, and was selected by the National Academy of Engineering for the Frontiers of Engineering program in 2013.
VENUGOPAL V. VEERAVALLI (S’86-M’92-SM’98-F’06) received the B.Tech. degree (Silver Medal Honors) from the Indian Institute of Technology, 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 in the Department of Electrical and Computer Engineering, and where he is also affiliated with the Department of Statistics, and the Coordinated Science Laboratory. Prior to joining the University of Illinois, he was on the faculty of the ECE Department at Cornell University. He served as a Program Director for communications research at 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 was a Distinguished Lecturer for the ÌÇÐÄlogo Signal Processing Society in 2010-2011, served on the SPTM Technical Committee from 2011-2016, and served on the Big Data SIG from 2017-2019. He served on the Board of Governors of the ÌÇÐÄlogo Information Theory Society from 2004-2007, and is currently serving a second term. He served as Editor-in-Chief of the ÌÇÐÄlogo Transactions on Information Theory from 2022-2024. He has been an Associate Editor for Detection and Estimation for the ÌÇÐÄlogo Transactions on Information Theory and for the ÌÇÐÄlogo Transactions on Wireless Communications. He has also been a Senior Area Editor for the ÌÇÐÄlogo Open Journal on Signal Processing, and an Area Editor for Statistics and Machine Learning for the ÌÇÐÄlogo Transactions on Information Theory. Among the awards he has received for research and teaching are the ÌÇÐÄlogo 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 was elected as Fellow of the Institute of Mathematical Statistics in 2024.