Aylin Yener (Ohio State University, USA)
Semantic communication networks: The next frontier for 6G and beyond
Aylin Yener is the Roy and Lois Chope Endowed Chair in Engineering at The Ohio State University since 2020, and a professor at the Departments of Electrical and Computer Engineering, Computer Science and Engineering, and Integrated Systems Engineering. Prior to this, she was a Distinguished Professor of Electrical Engineering and 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, CA and in 2016-2017 she was a visiting professor in the same department. She also held a visiting appointment at Telecom Paris Tech in Paris, France in 2016. She received her PhD and MS degrees in Electrical and Computer Engineering from Wireless Information Networks Lab (WINLAB), Rutgers University, and her BS degrees in Electrical and Electronics Engineering and in Physics from Bogazici University. Her expertise is in wireless communications, information theory, and AI, with recent focus on various pillars of 6G including new advances in physical layer designs, semantic communications, edge learning/computing/AI, system design for confluence of sensing, communications, distributed learning, energy conscious networked systems, and security and privacy. Yener received the 2020 IEEE Communication Theory Technical Achievement Award, 2019 IEEE Communications Society Best Tutorial Paper Award, 2018 IEEE Women in Communications Engineering (WICE) Outstanding Achievement Award, 2014 IEEE Marconi Paper Award, and several other research and technical awards. She is a fellow of the IEEE and a member of the Science Academy of Turkey.
Gesualdo Scutari (Purdue University, USA)
Statistical inference over networks: Decentralized optimization meets high-dimensional statistics
Gesualdo Scutari is a Professor with the School of Industrial Engineering and Electrical and Computer Engineering (by courtesy) at Purdue University, West Lafayette, IN, USA, and he is a Purdue Faculty Scholar. His research interests include continuous optimization, equilibrium programming, and their applications to signal processing and statistical learning. Among others, he was a recipient of the 2013 NSF CAREER Award, the 2015 IEEE Signal Processing Society Young Author Best Paper Award, and the 2020 IEEE Signal Processing Society Best Paper Award. He serves as an IEEE Signal Processing Distinguish Lecturer (2023-2024). He served on the editorial broad of several IEEE journals and he is currently an Associate Editor of SIAM Journal on Optimization. He is IEEE Fellow.
Sharad Sambhwani (Apple Inc., USA)
Wireless renaissance: AI’s transformative role in PHY
Sharad Sambhwani is an experienced wireless systems engineer. He is currently part of Cellular Systems Engineering in Hardware Technologies department at Apple since 2019 working on cellular modem development while also leading a R&D team working on next generation wireless technologies. He is currently the Vice-Chair of pre-6G SDOs (ATIS NGA Technology, ETSI ISG THz) and rapporteur of ETSI ISG RIS MIMO work item. He actively participated in 3GPP RAN1/2/4 from 1998 to 2012 and was a founding member of TIP 5G ORAN project group and active member of TIP mmW project group. He also has extensive experience in the development of advanced cellular modem algorithms and features. Prior to joining Apple, Sharad began his career as Member of Technical Staff in the Advanced Technology department at Bell Labs, Holmdel, NJ in 1996. He later had stints at a couple of startups, Algorex (acquired by National Semiconductors) and Quicksilver Technology followed by a 17 year tenure at Qualcomm Technologies, Inc. He received his MS and Ph.D. degree in EE from Polytechnic University, Brooklyn, NY (now NYU) in 1992 and 1997 respectively and a MS in CS (AI/ML) from UIUC in 2020. He is a named inventor on over 200 granted patents and has authored 13 publications.