Entropy Webinar | Information-Theoretic Aspects of Integrated Sensing and Communications
the chair
6th Entropy Webinar
Information-Theoretic Perspectives on Integrated Sensing and Communication
Welcome to the webinar on the Information-Theoretic Foundations of Integrated Sensing and Communications (ISAC). Historically, communication and sensing have been treated as two distinct silos: one concerned with the efficient transmission of messages over noisy channels, and the other with the optimal estimation of environmental parameters from reflected signals.
However, as we move toward 6G, these two functions are converging into a single, joint process. Today, we will explore the fundamental limits of this convergence—moving beyond simple hardware sharing to a unified theory. We will examine how the 'waste' energy of a communication signal can be recycled into a high-precision radar map, and the mathematical challenges of designing waveforms that satisfy both the communication requirements of a receiver and the estimation requirements of a radar sensor. Join us as we redefine the boundaries of the Shannon limit for the next generation of intelligent networks.
Speakers:
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Prof. Fan Liu, National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, China
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Prof. Kai Wan, School of Electronic Information and Communications, Huazhong University of Science and Technology, China
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Prof. Michele Wigger, L2S, CentraleSupélec, Université Paris-Saclay, France
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Prof Hamdi Joudeh, Department of Electrical Engineering, Eindhoven University of Technology, Netherlands
We hope that this webinar will stimulate insightful discussions and inspire future collaborations.
Date: 15 June 2026
Time: 9:00 AM EDT | 3:00 PM CEST | 9:00 PM CST Asia
Webinar ID: 817 2433 0634
Webinar Secretariat: journal.webinar@mdpi.com
Meet the Event Chair
Meet Our Speakers
Prof. Fan Liu
National Mobile Communications Research Laboratory, School of Information Science and Engineering, China;
Fan Liu is currently a Professor with the National Mobile Communications Research Laboratory, School of Information Science and Engineering, Southeast University, Nanjing, China. Prior to that, he was an Assistant Professor with the Southern University of Science and Technology, Shenzhen, China, from 2020 to 2024. He received the Ph.D. and the BEng. degrees from Beijing Institute of Technology (BIT), Beijing, China, in 2018 and 2013, respectively. He has previously held academic positions in the University College London (UCL), London, UK, as a Visiting Researcher from 2016 to 2018, and a Marie Curie Research Fellow from 2018 to 2020. His research interests lie in the general area of signal processing and wireless communications, and in particular in the area of Integrated Sensing and Communications (ISAC).
Prof. Kai Wan
School of Electronic Information and Communications, Huazhong University of Science and Technology, China;
Kai Wan is currently a full professor in the School of Electronic Information and Communications, Huazhong University of Science & Technology. He was a post-doctoral researcher with the Communications and Information Theory Chair (CommIT) at Technische Universität Berlin from Sep. 2018 to Aug. 2022. He received the Ph.D. degrees in Communications from Université Paris-Saclay in 2018, the M.Sc. degree in Communications from Université Paris-Saclay in 2014, and the B.E. degree in Optoelectronics from Huazhong University of Science and Technology, China, in 2012. His research interests include information theory, coding techniques, and their applications on wireless communications, distributed storage and computing, privacy and security, machine learning.
Prof. Michele Wigger
L2S, CentraleSupélec, Université Paris-Saclay, France;
Michèle Wigger is currently a Professor at CentraleSupélec. She received the M.Sc. degree in electrical engineering, with distinction, and the Ph.D. degree in electrical engineering both from ETH Zurich in 2003 and 2008, respectively. She was awarded two ETH Medals, one for her Master Thesis and one for her PhD Thesis. In 2009, she was a post-doctoral fellow at the University of California, San Diego, USA. She is interested in all areas of information theory and related fields.
Prof. Hamdi Joudeh
Department of Electrical Engineering, Eindhoven University of Technology, Netherlands;
Hamdi Joudeh is an Associate Professor in the Department of Electrical Engineering at Eindhoven University of Technology, The Netherlands. He received his Ph.D. in Electrical Engineering and M.Sc. in Communications and Signal Processing from Imperial College London, UK, in 2016 and 2011, respectively. From 2016 and 2020, he held research positions at Technische Universität Berlin, Germany, and Imperial College London, UK. His research interests are in information theory, communications, and signal processing.
Sponsors and Partners
Organizer
"Information-Theoretic Perspectives on Integrated Sensing and Communication"
Guest Editors: Prof. Dr. Giorgio Taricco, Prof. Dr. Giuseppe Caire and Prof. Dr. Marco Di Renzo
Deadline for manuscript submissions: 31 October 2026
Interested in this topic? Explore this section covering research on neglected and emerging tropical diseases and the development of novel treatments, or submit your work to contribute to the field:
Information Theory, Probability and Statistics
Section Information: This section, focuses on original and new research results regarding this broad and deep mathematical theory, as well as in diverse applications. Thus, manuscripts on source coding, channel coding, algorithmic complexity theory, algorithmic information theory, information–theoretic security, and measures of information, as well as on their application to traditional as well as novel scenarios are solicited. Submissions addressing critical up-to-date reviews will also be welcome.
Section Editor-in-Chief: Dr. Nikolaos Pappas