IWS-6G 2025 @ NSYSU, Kaohsiung

Biography

Keshav Singh (Senior Member, IEEE) earned his Ph.D. in Communication Engineering from National Central University, Taiwan, in 2015. He is currently an Associate Professor with the Institute of Communications Engineering and the International Master’s Program in Telecommunication Engineering (IMPTE) at National Sun Yat-sen University (NSYSU), Kaohsiung, Taiwan, after serving there as an Assistant Professor from 2020 to 2024. Before joining NSYSU, he worked as a Research Associate with the Institute for Digital Communications at The University of Edinburgh, U.K. (2016–2019), and later as a Research Fellow at University College Dublin, Ireland (2019–2020).

His research spans wireless communications and advanced transceiver design, with particular focus on optimization-driven and AI/ML-enabled techniques for MIMO systems, radio resource allocation, full-duplex networks, NOMA, integrated sensing and communications (ISAC), and RIS/STAR-RIS-assisted architectures, including emerging space–air–ground integrated networks. He has built a strong publication record, authoring/coauthoring over 160 journal articles and more than 120 conference papers, and he actively mentors doctoral and master’s researchers at NSYSU.

Beyond research, he contributes extensively to the IEEE community through editorial leadership. He serves as an Editor for IEEE Transactions on Communications, IEEE Communications Letters, and IEEE Wireless Communications Letters, and as an Associate Editor for IEEE Communications Surveys & Tutorials. He has also supported the field as a Guest Editor for special issues in the IEEE Internet of Things Journal and the IEEE Transactions on Green Communications and Networking, and has helped shape major research discussions by organizing IEEE workshops at conferences such as IEEE GLOBECOM (2023–2025), IEEE WCNC 2024, and IEEE ANTS 2025.

His contributions have been recognized through several honors, including the NSYSU Excellent Teacher in Academic Research (AY 2025), NSYSU Distinguished Faculty in Academic Research (2023–2025), the IEEE WCNC 2024 Best Paper Award (co-recipient), and the Exemplary Reviewer Award from IEEE Transactions on Communications (2022).

Biography

Kapal Dev (Senior Member, IEEE) received the Ph.D. degree from the Politecnico di Milano, Italy, in 2019, under the prestigious fellowship of Erasmus Mundus funded by the European Commission. He is an Assistant Professor with the Department of Computer Science, Munster Technological University, Ireland. He is recognized with numerous awards, including the IEEE ComSoc EMEA Outstanding Young Researcher in 2022 and the Tom Brazil Excellence in Research Award in 2023. He is among the top 45 scientists elected to the Global Young Academy 2024 and has secured over €2.5 million in competitive funding as a Principal Investigator.

He holds editorial roles as an Associate Editor as well as a Guest Editor in major IEEE and Elsevier Q1 journals and magazines, Nature, and other renowned publishers. He has led workshops at top-tier conferences, such as ACM MobiCom, IEEE GLOBECOM, and IEEE Blockchain. His research on data and model security and privacy, Agentic AI, and Industry 5.0 has produced over 100 publications in leading scientific venues. In addition, he has supervised more than 25 postgraduate students and serves as an External Evaluator for high-profile funding bodies. He is a Professional Member of ACM, underlining his commitment to the global research community.

Abstract

Due to the explosive growth in the number of wireless devices and diverse wireless services, next-generation wireless networks face unprecedented challenges caused by heterogeneous data traffic, massive connectivity, ultra-high bandwidth efficiency and ultra-low latency requirements. To address these challenges, flexible-antenna systems have been recognized as key enabling technologies of 6G networks, as they can intelligently reconfigure users’ effective channel gains and hence significantly enhance their data transmission capabilities. However, existing flexible-antenna systems have been developed to combat small-scale fading in non-line-of-sight (NLoS) conditions and thus lack the capability to reconstruct strong line-of-sight (LoS) links.

This talk focuses on an innovative flexible-antenna system recently demonstrated by NTT DOCOMO, termed pinching antennas, realized by applying small dielectric particles on waveguides. The basics of pinching-antenna systems are described first, followed by 6G applications including integrated sensing and communication and next-generation multiple access. Finally, key research directions such as waveguide deployment and channel estimation are highlighted.

Biography

Zhiguo Ding is a Professor in Communications at the University of Manchester, a Distinguished Adjunct Professor at Khalifa University, and an Academic Visitor at Princeton University. His research interests include 6G networks, communications, and signal processing. He has an h-index over 100 with 60,000+ Google citations. He serves as Area Editor for IEEE TWC and TCOM, and Editor for IEEE TVT and OJ-SP, with prior roles across IEEE OJCOMS, TCOM, TWC, COMST, WCL, CL, and WCMC. His awards include the IEEE Heinrich Hertz Award (2018), IEEE Jack Neubauer Memorial Award (2018), IEEE Best Signal Processing Letter Award (2018), the Bessel Research Award (2020), and others.

Abstract

With the 3GPP Advanced-5G Release 18 and the ongoing efforts for Release 19 paving the way toward 6G, we are witnessing transformative paradigm shifts. These include the seamless integration of people, machines, and the environment through intelligence; the convergence of space-air-ground-sea networks; the harmonization of diverse frequency bands with varying propagation characteristics; and the fusion of communication, computing, sensing, positioning, and intelligence.

While further development is still needed for 5G-Advanced and 6G, researchers worldwide are already exploring groundbreaking technologies and novel services for beyond 6G. This talk will begin with an overview of potential use cases and enabling technologies for next-generation networks. It will then introduce key elements of quantum computing and explore its applications within this evolving ecosystem. Finally, it will highlight future research directions poised to drive innovation in next-generation network evolution.

Biography

Octavia A. Dobre is a Professor and Canada Research Chair Tier-1 at Memorial University, Canada. Her research focuses on next-generation wireless networks, optical communications, and underwater communications. She has authored over 600 publications and received ten Best Paper Awards, including the IEEE ComSoc Heinrich Hertz Award.

Prof. Dobre currently serves as Vice-President of Publications for IEEE ComSoc. She was the founding Editor-in-Chief of the IEEE Open Journal of the Communications Society, Editor-in-Chief of IEEE Communications Letters, and IEEE ComSoc Director of Journals.

A former Fulbright Scholar and IEEE Distinguished Lecturer, she is an elected member of Academia Europaea and the European Academy of Sciences and Arts, and a Fellow of IEEE, EIC, CAE, and the Royal Society of Canada. She is also a Clarivate Highly Cited Researcher.

Abstract

The recent proliferation of machine-type devices (MTDs) has introduced a variety of emerging challenges that demand dedicated research attention. Among various concerns in this aspect, the battery lifetime considerations rank as the foremost priority. These low-complexity small-form-factor MTDs cannot incorporate large batteries, and replacement is often impractical. Energy harvesting represents a promising avenue for achieving self-sustainability; however, it remains largely unviable in the short term and frequently falls short of ensuring a satisfactory quality of service (QoS). A pragmatic alternative is to leverage battery energy as a supplement to harvested power, thereby significantly extending battery life. In this regard, optimizing battery management systems is essential with a particular focus on energy efficiency at the individual node level rather than solely at the network level.

A second critical area involves developing multiple-access techniques that enable intelligent selection of user subsets and transmit powers. The battery management approach adopted by one MTD can influence the performance of others, necessitating the study of key trade-offs, for instance, between battery energy consumption and the number of users that can be supported.

The third concern is the age of information (AoI) and delays, which are vital in the critical massive machine-type communication (mMTC) applications. The battery energy utilized by each MTD affects not only its own AoI and delays but also that experienced by other nodes. This gives rise to compelling trade-offs that require investigation, such as those between delay and battery energy consumption.

The fourth one is security, which emerges as a major concern. Given the low complexity and energy constraints, these MTDs often cannot execute intricate cryptographic algorithms, demanding alternative security solutions. Here too, the trade-offs warrant exploration, such as those between security levels and battery energy usage. This talk will delve into these and other issues associated with MTDs while providing an overview of my team's research contributions.

Biography

Shankar Prakriya (Senior Member, IEEE) received the B.E. degree (Hons.) in electronics and communication engineering from Regional Engineering College, Bharathidasan University, Tiruchirappalli, India, in 1987, and the M.A.Sc. (Engg.) and Ph.D. degrees from the Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada, in 1993 and 1997, respectively.

He was with the Indian Space Research Organization for three years. He joined the Indian Institute of Technology Delhi, New Delhi, India, in 1997, where he is currently a Professor with the Department of Electrical Engineering and the Shri G. K. Chandiramani Chair. He was the Jai Gupta Research Chair Professor for five years till September 2017. He holds four U.S. and some Indian patents. His interests include 5G/6G communications, integrated sensing and communications, NOMA, RSMA, physical-layer security, intelligent reflecting surfaces, and backscatter communications.

Prof. Prakriya has served on the technical program committees for prominent IEEE international conferences. He is currently serving as an Editor for IEEE Transactions on Wireless Communications.

Abstract

Federated learning (FL) has become increasingly attractive in wireless communications and machine learning due to its powerful collaborative learning capability and broad spectrum of applications. Unlike most machine learning paradigms that rarely rely on communication resources, FL fundamentally depends on frequent exchanges between a central server and distributed clients to train and optimize models. Efficiently allocating limited communication resources and understanding the impact of channel impairments are therefore critical to FL performance.

This talk investigates the convergence behavior of FL under various communication distortions. After outlining the fundamental trade-off between learning accuracy and communication cost, Prof. Li will discuss how inexact ADMM-based coordination and decentralized FL frameworks behave when subject to practical impairments such as quantization noise, latency, and packet losses.

The session highlights design insights for assigning scarce communication resources while ensuring convergence, offering guidelines for future wireless FL deployments.

Biography

Geoffrey Ye Li (FREng, IEEE Fellow) is a Chair Professor at Imperial College London, UK. Before joining Imperial in 2020, he spent 25 years with Georgia Tech and AT&T Labs – Research (formerly AT&T Bell Labs) in the USA. He has made fundamental contributions to orthogonal frequency-division multiplexing (OFDM), established resource cooperation frameworks for wireless networks, and pioneered the use of deep learning for communications.

Prof. Li has authored over 700 journal and conference papers, holds more than 40 granted patents, and his work has received over 80,000 citations with an H-index of 130. He has repeatedly been named a Highly Cited Researcher by Clarivate/Web of Science and is the recipient of the 2024 IEEE Eric E. Sumner Award alongside numerous IEEE Society distinctions, including the 2019 IEEE ComSoc Edwin Howard Armstrong Achievement Award.

Abstract

Quantum technologies are emerging as powerful enablers for next-generation communication networks, transforming both security and computational capabilities. This talk presents a complete journey from the fundamentals of quantum mechanics and quantum information to their real-world applications in future wireless systems.

Foundational concepts such as qubits, superposition, entanglement, quantum interference, and measurement are introduced to establish the operational principles of quantum communication, teleportation, and quantum key distribution.

The discussion then progresses to the architecture of quantum networks, entanglement routing, quantum repeaters, and the long-term vision of the quantum internet.

A particular emphasis is placed on quantum computing and its integration with machine learning, highlighting hybrid ML-quantum paradigms for 6G Open RAN (ORAN) to accelerate resource optimization, secure decision-making, and distributed intelligence at the radio access edge.

Overall, the talk bridges physics, computing, and wireless engineering to demonstrate how quantum technologies will shape the foundation of ultra-secure, ultra-reliable, and computationally intelligent beyond-6G communication systems.

Biography

Sudip Biswas (Member, IEEE) received the Ph.D. degree in digital communications from the University of Edinburgh (UEDIN), Edinburgh, U.K., in 2017. From 2017 to 2019, he was a Research Associate with the Institute of Digital Communications, UEDIN, working on optimization and signal processing for 5G and beyond communications. He has was an Assistant Systems Engineer with Tata Consultancy Services, India, from 2010 to 2012. He is currently an Associate Professor with the Department of Electronics and Communications Engineering, Indian Institute of Information Technology, Guwahati, India. He was the Editor of IEEE Transactions on Green Communications and Networking. He is leading or contributing to eight Government of India-funded Projects through ANRF (SERB), DST, ICMR, ICSSR, SPARC, and TIH Bhilai. His international research involvement includes contributions to one MOST Project, two EU FP7 Projects, a UKIERI Project, and an EPSRC Project. He was the recipient of the SERB Accelerate Vigyan Karyashala Grant in 2022 and the Vritika Grant in 2024. At IIIT Guwahati, he is in-charge of the Innovation and Entrepreneurship Cell and the Founder of Formicary Innovations Labs, a start-up on IoT and signal processing incubated with IIIT Guwahati.

Abstract

This talk will discuss a novel design for the Pinching Antenna Systems (PASS) and advocate simple yet efficient wireless communications over the ‘last meter’. First, the potential benefits of PASS will be discussed by reviewing an existing prototype. Then, the fundamentals of PASS will be introduced, including physical principles, signal models, and communication designs. In contrast to existing multi-antenna systems, PASS brings a novel concept termed Pinching Beamforming, achieved by dynamically adjusting the positions of PAs.

Based on this concept, practical transmission architectures are proposed for employing PASS, namely non-multiplexing and multiplexing architectures. (1) The non-multiplexing architecture features simple baseband signal processing and relies only on pinching beamforming; while (2) the multiplexing architecture provides enhanced signal manipulation capabilities with joint baseband and pinching beamforming, further divided into sub-connected, fully-connected, and phase-shifter-based fully-connected schemes. Emerging scenarios are put forward for integrating PASS into future wireless networks. Numerical case studies reveal significant performance gains of PASS compared to conventional multi-antenna systems. Finally, several research opportunities and open problems of PASS are highlighted.

Biography

Yuanwei Liu is a (tenured) full Professor in the Department of Electrical and Electronic Engineering (EEE) at The University of Hong Kong (HKU). His research interests include non-orthogonal multiple access, reconfigurable intelligent surface, near-field communications, integrated sensing and communications, and machine learning. He is a Fellow of the IEEE, a Fellow of AAIA, a Web of Science Highly Cited Researcher, an IEEE Communication Society Distinguished Lecturer, and an IEEE Vehicular Technology Society Distinguished Lecturer. He serves as the Co-Editor-in-Chief of the IEEE ComSoc TC Newsletter, an Area Editor of IEEE TCOM and CL, and an Editor of IEEE COMST/TWC/TVT/TNSE/TCCN. He has (leading) Guest Edited special issues for Proceedings of the IEEE, IEEE JSAC, IEEE JSTSP, and IEEE Network on next-generation multiple access. He has served as Publicity Co-Chair for IEEE VTC 2019-Fall, Panel Co-Chair for IEEE WCNC 2024, and Symposium Co-Chair for IEEE GLOBECOM/ICC/VTC. He is the academic Chair for the Next Generation Multiple Access Emerging Technology Initiative, and served as vice chair of SPCC and TCCN (2023–2024).

Abstract

In this talk, we will explore the potential implementation of several physical layer blocks using AI/ML algorithms, including IF estimation, symbol rate estimation, channel estimation, modulation classification, early ACK/NACK activation, and AI/ML-based LDPC decoding. We will conclude with a discussion of possible future directions for AI/ML in wireless communications.

Biography

Sudhan Majhi received an M.Tech degree from the Indian Institute of Technology (IIT) in Kharagpur, India and a Ph.D. degree from Nanyang Technological University (NTU), Singapore. He has post-doctoral experience with the University of Michigan, Dearborn, USA, the Institute of Electronics and Telecommunications Rennes (IETR), France, and Nanyang Technological University, Singapore.

Currently, he is an associate professor in Electrical Communication Engineering (ECE) at the Indian Institute of Science, Bangalore. Before moving to IISc, he was Associate professor at IIT Patna. He is a fellow of Sir Visvesvaraya Young Faculty Research, a Fellow of IEI, and a Fellow of IETE. He has received the best academic award from National Instrument, Singapore. He has received SERB-TETRA and SERB-STAR awards in 2022 and 2023, respectively. He was an Editor of the IEEE Transactions on Vehicular Technology Journal, senior editor of IEEE Communications Letters. Currently, he is editor of the IEEE Wireless Communication Letters and the IEEE Transactions on Communications. In 2024, he received Best Editor from IEEE Wireless Communication Letters. His research interest is signal processing for 6G wireless communications. He teaches a popular online course on AI/ML for wireless communication.