Al Oppenheim received a ScD degree in 1964 at MIT and is also the recipient of an honorary doctorate from Tel Aviv University. During his career, he has been a member of the Research Laboratory of Electronics and closely affiliated with MIT Lincoln Laboratory and with the Woods Hole Oceanographic Institution. His research interests are in the general area of signal processing algorithms, systems, and applications. He is co-author of the widely used textbooks “Digital Signal Processing,” “Discrete-Time Signal Processing” (currently in its third edition), “Signals and Systems” (currently in its second edition), and most recently “Signals, Systems & Interference,” published in 2016. He is also the author of several video courses available online. He is editor of several advanced books on signal processing. Throughout his career he has published extensively in research journals and conference proceedings.
Oppenheim is a member of the National Academy of Engineering, an IEEE Life Fellow, and has been a Guggenheim Fellow in France and a Sackler Fellow in Israel. He has received a number of IEEE awards for outstanding research, teaching, and mentoring, including the IEEE Kilby Medal; the IEEE Education Medal; the IEEE Centennial Award; the IEEE Third Millennium Medal; the Norbert Wiener Society award; and the Society, Technical Achievement, and Senior Awards of the IEEE Society on Acoustics, Speech and Signal Processing; as well as a number of research, teaching, and mentoring awards at MIT.
Aylin Yener is the Roy and Lois Chope Chair Professor at The Ohio State University at the Departments of Electrical and Computer Engineering, Computer Science and Engineering, and Integrated Systems Engineering since 2020. Prior to her present post, she was a Distinguished Professor of Electrical Engineering and Dean’s Fellow at Penn State where she started as an assistant professor in 2002. Her expertise is in wireless communications, information theory and learning, with recent focus on various pillars of 6G including new advances in physical layer designs, edge learning/computing, system design for confluence of sensing, communications, computing and learning, energy conscious networked systems, and security and privacy. Having worked on wireless communications research extensively, Yener received several technical recognitions including the IEEE Communication Theory Technical Achievement Award, and a IEEE Marconi Paper Award. She is a fellow of AAAS, the IEEE, AAIA, and is an elected member of The Science Academy of Turkey.
Yener is presently on the IEEE board of directors as the director of Division IX. She previously served as the president of the IEEE Information Theory Society. She is the Editor-in-Chief of IEEE Transactions on Green Communications and Networking.
Burak Gokturk, Vice President of ML, Systems, and Cloud AI Research at Google, leads AI and Systems research for Google Cloud. His responsibilities include developing algorithms for enterprise AI solutions, integrating AI into Systems research, and overseeing the development and real-world application of machine learning technologies like generative AI-based large language models and agents and agentic systems like co-scientist. Previously, Burak headed the Vertex AI and developer teams, creating AI products and solutions for enterprises and developers, including those requiring minimal AI/ML expertise. This portfolio included the Vertex AI platform for large models, Agents, Search and Grounding solutions, and developer tools like Kaggle, Colab, and AI Studio. For 13 years prior, he was Vice President of Google Shopping, focusing on commercializing computer vision and machine learning within the shopping domain, both in Ads as well as Search. Before that, Burak was CTO, CRO, and co-founder of Like.com, where he drove exponential revenue growth with an AI-based product discovery technology. He also led algorithm development at Canesta, Intel, and BEKO. With roughly 30 years in AI/machine learning, Burak has over 100 publications/patents. He holds MS and PhD degrees in electrical engineering from Stanford University, and double BS degrees in electrical engineering and computer science from Boğaziçi University.
Hitay Özbay is a Professor of Electrical and Electronics Engineering at Bilkent University, Ankara Turkey. He received the B.Sc., M.Eng. and PhD degrees from Middle East Technical University (1985), McGill University (1987), and University of Minnesota (1989), respectively. His prior academic affiliations include University of Rhode Island (1989-1990), and The Ohio State University (1991—2006) where he was a Professor of Electrical and Computer Engineering prior to joining Bilkent University. He also held a visiting position at INRIA, France (2009-2010). Professor Özbay was a member of the Board of Governors of the IEEE Control Systems Society (elected for the term 2017-2019) and an assembly member of the European Control Association (EUCA), representing Turkey, 2013-2019. He served as Associate Editor for many journals, including IEEE Transactions on Automatic Control (1997-1999), SIAM Journal on Control and Optimization (2011-2014), and Automatica (2001-2007, 2012 - 2019). He was a Vice-Chair of the IFAC Technical Committee on Networked Control Systems (2005-2011); and currently is a Vice-Chair of the IFAC Technical Committee on Linear Control Systems (2017-2023). He is a Fellow of IEEE.
Mathews Jacob is a professor in the Department of Electrical and Computer Engineering and is heading the Computational Biomedical Imaging Group (CBIG). His research interests include image reconstruction, image analysis, and quantification in the context of magnetic resonance imaging. He received his Ph.D. degree from the Biomedical Imaging Group at the Swiss Federal Institute of Technology and was a Beckman postdoctoral fellow at the University of Illinois at Urbana Champaign.
He is currently the associate editor of the IEEE Transactions on Medical Imaging. He was the senior author on two best paper awards (2015 & 2021) and one best machine learning paper award (2019) from IEEE ISBI. Dr. Jacob is the recipient of the CAREER award from the National Science Foundation in 2009, the Research Scholar Award from American Cancer Society in 2011, the Faculty Excellence Award for Research from University of Iowa in 2021, and the Eminent Researcher award from the Virginia Innovation Partnership Corporation. He served as the general chair of IEEE International Symposium on Biomedical Imaging, 2020 and distinguished lecturer of the IEEE Signal Processing Society, 2025. He was elected as a Fellow of the IEEE (2022) for contributions to computational biomedical imaging.
