icWCSN Speakers 主旨报告

 

Keynote Speakers of 2025

Speech Title: Target Localization in Cooperative ISAC Systems

Abstract: The integration of sensing capabilities into communication systems, by sharing physical resources, has a significant potential for reducing spectrum, hardware, and energy costs while inspiring innovative applications. Cooperative networks, in particular, are expected to enhance sensing services by enlarging the coverage area and enriching sensing measurements, thus improving the service availability and accuracy. This talk presents and discusses a cooperative integrated sensing and communication (ISAC) framework by leveraging information-bearing orthogonal frequency division multiplexing (OFDM) signals transmitted by access points (APs).

Biography: Jiangzhou Wang is a Professor at Southeast University, China, and Emeritus Professor at the University of Kent, U.K. He has published more than 500 papers and five books. His research interest is in mobile communications. He was a recipient of the 2024 IEEE Communications Society Fred W. Ellersick Prize and the 2022 IEEE Communications Society Leonard G. Abraham Prize. He was the Technical Program Chair of the 2019 IEEE International Conference on Communications (ICC2019), Shanghai, Executive Chair of the IEEE ICC2015, London, and Technical Program Chair of the IEEE WCNC2013. Professor Wang is an International Member of the Chinese Academy of Engineering (CAE), a Fellow of the Royal Academy of Engineering (RAEng), U.K., Fellow of the IEEE, and Fellow of the IET.

Speech Title: Large Language Model (LLM) Fine Tuning: Concepts, Opportunities, and Challenges

Abstract: As a foundation of Large Language Models, fine-tuning drives rapid progress, broad applicability, and profound impacts on human-AI collaboration, surpassing earlier technological advancements. This talk examines the core principles, development, and applications of fine-tuning techniques, emphasizing its growing significance across diverse field and industries. By analyzing the latest round of LLM fine-tuning advancements, this talk explores potential future directions for the co-evolution of humans and AI, as well as emphasizing their potential to achieve higher levels of cognitive and operational intelligence. Specifically, this talk introduces Natural Language Fine-Tuning (NLFT). The pioneering work of NLFT is the first superior technique for paving the way to deploy various innovative LLM fine-tuning applications when resources are limited at network edges.

Biography: Min Chen is a tenured full professor in School of Computer Science and Engineering at South China University of Technology. He was the director of Embedded and Pervasive Computing (EPIC) Lab at Huazhong University of Science and Technology. He is the founding Chair of IEEE Computer Society Special Technical Communities on Big Data. He was an assistant professor in School of Computer Science and Engineering at Seoul National University. He worked as a Post-Doctoral Fellow in Department of Electrical and Computer Engineering at University of British Columbia from 2006 to 2009. He received Best Paper Award from IEEE ICC 2012 and IEEE IWCMC 2016, etc. He serves as associate editor for IEEE Transactions on Big Data, and ACM Transactions on Multimedia Computing, Communications, and Applications, etc. He was a Series Editor for IEEE Journal on Selected Areas in Communications. He was General Chair of CEI 2024, Symposium Chair of IEEE Globecom 2022 eHealth, Co-Chair of IEEE ICC 2012-Communications Theory Symposium, and Co-Chair of IEEE ICC 2013-Wireless Networks Symposium. He was General Co-Chair for IEEE CIT-2012, Tridentcom 2014, Mobimedia 2015, and Tridentcom 2017. He was keynote speaker for IEEE BHI-BSN 2022. He has 200+ SCI papers, including IEEE JSAC, IEEE TNNLS, IEEE TPDS, IEEE TWC, IEEE TSC, INFOCOM, AAAI, CVPR, Science, Advanced Materials, Nature Communications, etc. He has published 12 books, including Big Data Analytics for Cloud/IoT and Cognitive Computing (2017) with Wiley. His Google Scholar Citations reached 49,700+ with an H-index of 101. His top paper was cited 5,170+ times. He was selected as ESI Highly Cited Researcher from 2018 to 2024. He got IEEE Communications Society Fred W. Ellersick Prize in 2017, the IEEE Jack Neubauer Memorial Award in 2019, and IEEE ComSoc APB Oustanding Paper Award in 2022. His research focuses on cognitive computing, 5G Networks, wearable computing, big data analytics, robotics, emotion detection, mobile edge computing, LLM and fabric computing etc. He is an IEEE Fellow since 2021.

 

Speech Title: Antenna Solutions and Analysis for Commercial 5G mmWave Antenna-in-Package (AiP) Designs

Abstract: This presentation will explore the latest trends in 5G millimeter-wave (mmWave) antennas and address the challenges encountered by engineers in this field. To enhance the audience's understanding of mmWave array antenna design within the framework of commercial Antenna-in-Package (AiP) systems, we will examine a series of commercial mmWave AiP designs, starting with the QTM 052. The discussion will explore the design techniques adopted in these solutions and compare them with recent developments in academic research. Finally, the presentation will conclude with a brief outlook on future 5G mmWave (FR2) and 6G communication.

Biography: Prof. SIM Chow-Yen-Desmond, born in Singapore in February 1971, received his B.S. degree in Electrical and Electronic Engineering from the University of Leicester, UK, in 1998, and his Ph.D. in the Radio System Group from the same university in 2003. He joined Feng Chia University in July 2003, where he has served as a Distinguished Professor since August 2016. Prof. Sim’s research interests focus on small antenna designs and RFID applications, particularly in 5G sub-6GHz/mmWave antennas, RFID antennas, antenna arrays, and laptop antennas. He has published over 200 SCI-indexed journal papers on these topics. Prof. Sim was elected a Fellow of the Institution of Engineering and Technology (FIET) in February 2013. He served as an Associate Editor (AE) for IEEE Access (2015–2022) and IEEE Antennas and Wireless Propagation Letters (AWPL) (2017–2023). Currently, he is an AE for the IEEE Journal of RFID, IEEE Open Journal of Antennas and Propagation, and the International Journal of RF and Microwave Computer-Aided Engineering. Prof. Sim has contributed to numerous conferences as a General Chair, Co-Chair, Technical Program Committee (TPC) Chair, or TPC member. He has also been invited as a Keynote, Workshop/Tutorial Speaker and Invited Speaker in many international conferences. He served as the Chapter Chair of the IEEE Antennas and Propagation Society (AP-S), Taipei Chapter (2016–2017), and was the founding Chapter Chair of the IEEE Council of RFID, Taipei Chapter (2017–2020). Prof. Sim received the IEEE AP-S Outstanding Reviewer Award (Transactions on Antennas and Propagation) for eight consecutive years (2014–2021) and the Outstanding Associate Editor Award from IEEE AWPL in July 2018. He was appointed as a Distinguished Lecturer of the IEEE Antennas and Propagation Society for the term 2024–2026. In 2025, Prof. Sim was elevated to IEEE Fellow “for contributions to the practical design and application of high-isolation broadband antennas and arrays."

Speech Title: Millimeter Wave Signal Propagation in Indoor Environment and Underground Mine

Abstract: With a huge spectrum of 5–7 GHz allocated as an unlicensed band worldwide, the 60-GHz millimeter wave frequency range has become attractive for future indoor networking. Very high data rates can be reached (on the order of several Gbps) because of the large available spectrum. With low interference with neighboring networks due to the oxygen resonance around 60 GHz, it becomes feasible to control mining machinery and implement underground communications by using wireless sensors. Modelling 60 GHz millimeter wave signal propagation in indoor environment and underground mine is of vital importance for realizing the above goals. Most of published channel modeling studies in the 60 GHz still make efforts to evaluate the heuristic diffraction coefficients around corners for relaying the signal while denying surrounding deflecting obstacles (DOs) and considering them as noise sources. Few measurements of radio propagation in underground mines have been carried out for the MIMO-mmW systems, including the effect of miners’ activity. In this presentation, the importance of the presence of deflecting obstacles (DOs) for indoor wireless local area network (WLAN) applications in the 60 GHz band is evaluated, the propagation characteristics of a MIMO-mmW system within an underground mine environment is discussed, with the effect of miners’ activity being considered.

Biography: Prof. Qingsheng Zeng, received his Ph.D. from University of Ottawa, Canada, and is currently a professor and PhD advisor of Université du Québec an Outaouais (UQO), an adjunct professor and PhD advisor of University of Ottawa, Carleton University, and Institut National de la Recherche Scientifique -- Centre Energie, Matériaux et Télécommunications (INRS-EMT). He has been a research engineer and a senior research engineer at Communications Research Centre Canada (CRC), Government of Canada. Dr. Zeng has undertaken research and teaching in several fields, including analysis and design of aircraft antennas, electromagnetic compatibility and interference (EMC/EMI), ultrawideband technology, radio wave propagation, computational electromagnetics. He has been the Chair of AP (Antennas and Propagation) / MTT (Microwave Theory and Techniques) Joint Chapter and Secretary of EMC (Electromagnetic Compatibility) Chapter of IEEE Ottawa, a Member of IEEE Canada Industry Relations Committee, and a senior member of IEEE. Dr. Zeng has been a member of the Strategic Projects Grant (SPG) Selection Panel (Information and Communications Technologies B) for the Natural Sciences and Engineering Research Council of Canada (NSERC), a member of Site Visit Committee of NSERC Industrial Research Chair (IRC), and a reviewer of NSERC Industrial R&D Fellowships.
He has published more than 200 SCI and EI indexed papers and technical reports, authored one book and co-authored two book chapters. His work on the project “Aggregate Interference Analysis and Suitability of Some Propagation Models to Ultra-wideband Emissions in Outdoor Environments” has formed one part of Consultation Paper on the Introduction of Wireless Systems Using Ultra Wideband Technology, Spectrum Management and Telecommunications Policy, Industry Canada, and has been taken as a significant contribution to International Telecommunication Union (ITU). Dr. Zeng has been serving as an editorial board member and a reviewer for a number of technical books and scientific journals, as a conference co-chair, a session chair and organizer, a technical program committee co-chair and member and a reviewer, a short course/workshop/tutorial presenter and a keynote speaker for many international and national symposia. He has won several technical and technical service awards, was ranked as one of the researchers at Communications Research Centre Canada with the strongest impacts in 2011, selected as a distinguished expert under the Plan of Hundreds of Talents of Shanxi Province in China during 2015, a Huashan Mountain Scholar Chair Professor of Xidian University in 2020, and a distinguished expert for HOME Program of China Association for Science and Technology in January 2023, and was elected as a member of the Council of the Academicians and Experts Association of Jilin Province in December 2023.

Keynote Speakers of icWCSN 2024

Prof. Kun Yang Member of Academia Europaea (MAE)欧洲科学院院士, IEEE Fellow, IET Fellow, ACM Distinguished Scientist Chair Professor in the School of Computer Science & Electronic Engineering Head of the Network Convergence Laboratory (NCL) Nanjing University, China / University of Essex, UK	Prof. Tony Q.S. Quek Fellow of Academy of Engineering Singapore新加坡工程院院士, IEEE Fell ow, Cheng Tsang Man Chair Professor ST Engineering Distinguished Professor Director, Future Comms R&D Programme Head of ISTD Pillar Singapore University of Technology and Design, Singapore	Prof. Qingfu Zhang IEEE Fellow Chair Professor of Department of Computer Science City University of Hong Kong, China