SPAWC talks details
In-memory computing – The key to efficient AI accelerators
Bipin Rajendran is a Professor of Intelligent Computing Systems and EPSRC Fellow at King’s College London (KCL). He received a B. Tech degree from I.I.T. Kharagpur in 2000, and MS and PhD degrees in Electrical Engineering from Stanford University in 2003 and 2006, respectively. He was a Master Inventor and Research Staff Member at IBM T. J. Watson Research Center in New York from 2006-’12 and has held faculty positions in India and the US. His research focuses on building algorithms, devices, and systems for brain-inspired computing. He has co-authored over 100 papers in peer-reviewed journals and conferences, one monograph, one edited book, and 59 issued U.S. patents. He is a recipient of the IBM Faculty Award (2019), IBM Research Division Award (2012), and IBM Technical Accomplishment (2010). He was elected a senior member of the US National Academy of Inventors in 2019.
Quantum error correction for communications and computing
Marco Chiani is a Professor in telecommunications at the University of Bologna. He received the Dr. Ing. degree in electronic engineering and the Ph.D. degree in electronic and computer engineering from the University of Bologna, Italy, in 1989 and 1993, respectively. Since 2003, he has been a frequent visitor at the Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, as Research Affiliate. He is an IEEE Fellow, and has been appointed Distinguished Visiting Fellow of the Royal Academy of Engineering, U.K. He received the 2011 IEEE Abraham Prize, the 2012 IEEE Ellersick Prize, and the 2012 IEEE Rice Prize in the Field of Communications Theory. He has been the Chair (2002–2004) of the Radio Communications Committee of IEEE CommSoc. His research interests are in the areas of information theory, wireless systems, statistical signal processing and quantum information. His contributions include also exponential bounds for the Gaussian error function, and the statistical distribution of the eigenvalues of random matrices.
UAV networks: Quantization for deployment not compression
Hamid Jafarkhani is a Chancellor’s Professor at the University of California, Irvine, where he is also the Director of Center for Pervasive Communications and Computing and the Conexant-Broadcom Endowed Chair. He was a Visiting Scholar at Harvard University in 2015 and at California Institute of Technology in 2018. Dr. Jafarkhani was an IEEE ComSoc Distinguished lecturer. Among his awards are the IEEE Marconi Prize Paper Award in Wireless Communications, the IEEE Communications Society Award for Advances in Communication, the IEEE Wireless Communications Technical Committee Recognition Award, the IEEE Signal Processing and Computing for Communications Technical Recognition Award, and the IEEE Eric E. Sumner Award. He is the 2017 Innovation Hall of Fame Inductee at the University of Maryland’s School of Engineering. According to the Thomson Scientific, he is one of the top 10 most-cited researchers in the field of “computer science” during 1997-2007. He is a Fellow of AAAS, an IEEE Fellow, and the author of the book “Space-Time Coding: Theory and Practice.”
Modelling language mismatch in multi-user semantic communications
Dr. Emilio Calvanese Strinati obtained his Ph.D in 2005 from Paris Telecom. He then started working at Motorola Labs in Paris in 2002. In 2006 he joint CEA LETI as a research engineer. From 2010 to 2012, he has been the co-chair of the wireless working group in GreenTouch Initiative, which deals with design of future energy efficient communication networks. From 2016 to 2020 he was the Smart Devices’ Telecommunications Scientific and Innovation Director. Since February 2020 he is the Nanotechnologies and Wireless for 6G (New-6G) Program Director focusing on future 6G technologies. He has published around 200 papers in journals, international conferences, and books chapters, and he has given more than 200 international invited talks, keynotes and tutorials. He is the main inventor of more than 80 patents. His current research interests are on Reconfigurable Intelligent Surfaces, Semantic communications, Goal-oriented communications AI-native technologies for 6G.
Scalable, robust, and distributed algorithms for large antenna array processing
Danijela Cabric is a Professor in the Electrical and Computer Engineering Department at the University of California, Los Angeles (UCLA). She received a Ph.D. from the University of California, Berkeley, in 2007. In 2008, she joined UCLA as an Assistant Professor, where she heads Cognitive Reconfigurable Embedded Systems lab. Her current research projects include novel radio architectures, signal processing, communications, machine learning and networking techniques for spectrum sharing, 5G millimeter-wave, massive MIMO and IoT systems. Prof. Cabric was a recipient of the Samueli Fellowship in 2008, the Okawa Foundation Research Grant in 2009, Hellman Fellowship in 2012 and the National Science Foundation Faculty Early Career Development (CAREER) Award in 2012, and Qualcomm Faculty Award in 2020 and 2021. Prof. Cabric is an IEEE Fellow.
Near-field radio localization and mapping with intelligent surfaces
Anna Guerra has been with the National Research Council (CNR) of Italy since 2021. She earned a Ph.D. from the University of Bologna in 2016. Her research interests include radio localization and mapping, smart radio environments, and distributed signal processing for autonomous agent networks. From 2016 to 2021, she was awarded a global Marie Skłodowska-Curie research fellowship for the H2020 AirSens project. As part of this fellowship, she visited Stony Brook University (Stony Brook, NY, USA). In 2023, she obtained an ERC Starting Grant fellowship for the CUE-GO project. She received the Best Student Paper Award at the IEEE ICUWB 2014 (Paris, France) and the Best Paper Award at the IEEE RFID-TA 2019 (Pisa, Italy), and at the IEEE ICAS 2021 (Montreal, QC, Canada). She is currently an Associate Editor for IEEE Transactions on Wireless Communications, IEEE Communications Letters, and IEEE Wireless Communications Letters.
Towards optimal pilot spacing and power control in multi-antenna systems operating over stationary and non-stationary aging channels
Gábor Fodor received the Ph.D. degree from the Budapest University of Technology and Economics in 1998 and the D.Sc. degree from the Hungarian Academy of Sciences in 2019. He is currently a Master Researcher with the Ericsson Research and a Docent and Adjunct Professor with the KTH Royal Institute of Technology, Sweden. He has authored more than 150 journal and conference papers, seven book chapters and holds more than 200 granted patents. He was the Founder and Chair of the IEEE Communications Society Emerging Technology Initiative on Full Duplex Communications and a co-recipient of the IEEE Communications Society Stephen O. Rice Prize in 2018, and the Best Student Conference Paper Award from the IEEE Sweden VT/COM/IT Chapter in 2018. He has served as Editor for IEEE Transactions of Wireless Communications and as a Guest Editor for IEEE Journal on Selected Areas in Communications ,and was an Exemplary Editor for IEEE Wireless Communications in 2022. He is currently an Associate Editor in Chief for IEEE Communications Magazine.
Local Committee
Signal Processing Advances in Wireless Communications
Organizing Secretariat
First Class Meetings and Conferences
