Organizing committee

Van-Linh Nguyen (Senior Member, IEEE) is currently an Assistant Professor at the Department of Computer Science and Information Engineering, National Chung Cheng University (CCU), Taiwan, and the lead of the Cyber Information Security Laboratory (CIS Lab). He received his Ph.D. in computer science and information engineering from CCU, in 2019. Over the past five years, he has established a strong research track record, publishing more than 70 papers in wireless communications, cybersecurity, and quantum machine learning. In recognition of his research excellence and impact, he received the Young Faculty Award for the 2025 Academic Year at National Chung Cheng University and was listed among the World’s Top 2% Scientists in 2025 by John P. A. Ioannidis/Elsevier for his contributions to computer networks and cybersecurity. He actively contributes to the research community as a reviewer for numerous prestigious journals, including COMST, TDSC, TIFS, TON, TCOM, JSAC, IoTJ, TVT, TNSE, TNSM, TMC, TSC, and etc. He is the TPC chair and the leading organizer of IEEE GLOBECOM 2025 WS20, Session Chair of IEEE VTC Fall 2024, IEEE GLOBECOM 2023. He is currently serving as an (Associate) Editor of several top-tier journals, including IEEE COMML and IEEE COMST. Prof. Nguyen has served as Principal Investigator (PI) and Co-PI on several national projects funded by Taiwan’s National Science and Technology Council (NSTC), with total funding exceeding 1.7 million USD. He is also a consortium partner in a CHIST-ERA project (2025–2028) funded in collaboration with European partners. He is a senior member of IEEE, and a member of the IEEE ComSoc and IEEE VTS. He now serves as Vice Chair of the IEEE ComSoc Tainan Chapter in Taiwan. His research interests include physical layer security, quantum machine learning, and wireless communications. 

Affiliation: National Chung Cheng University, Taiwan [e-mail: nvlinh@cs.ccu.edu.tw]  Website: https://sites.google.com/view/nvlinh

Xin Wang (Senior Member, IEEE) is an Associate Professor in the AI Thrust at The Hong Kong University of Science and Technology (Guangzhou), focusing on quantum information and quantum machine learning. He previously worked as a Senior Researcher and Tech Lead at Baidu Research, where he led the development of the quantum machine learning platform Paddle Quantum. Before joining Baidu, he was a Hartree Fellow at the University of Maryland. Wang earned his Ph.D. from the University of Technology Sydney in 2018, receiving the Chancellor’s Outstanding Thesis Award. He has published over 80 papers in top-tier journals and conferences, including Physical Review Letters, Nature Computational Science, PRX Quantum, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Information Theory, Communications in Mathematical Physics, npj Quantum Information, NeurIPS, AAAI, HPCA, MICRO, and ISCA. In 2020, he was invited to deliver a keynote talk at the top-tier quantum computing conference TQC. He has served on program committees for conferences such as QIP, ISIT, AQIS, and QCTiP, and as an editor for IEEE Transactions on Information Theory, Science China Information Sciences, and Quantum, and Chip. He was listed among the World’s Top 2% Scientists in 2023 and 2024 .

Affiliation: Hong Kong University of Science and Technology (Guangzhou), China [e-mail: wangxinfelix@gmail.com ] 

Viet Quoc Pham (Senior Member, IEEE) is currently an Assistant Professor (above the bar) at the School of Computer Science and Statistics, Trinity College Dublin, Ireland. He earned his BSc and PhD degrees (with Best PhD Dissertation Award) in Telecommunications Engineering from Hanoi University of Science and Technology and Inje University in 2013 and 2017, respectively. He has special research interests in the areas of wireless AI, edge computing, Internet of Things, and distributed learning. He was a recipient of the IEEE TVT Top Reviewer Award in 2020, Golden Globe Award in Science and Technology for Vietnam’s Young Researchers in 2021, IEEE ATC Best Paper Award in 2022, and IEEE MCE Best Paper Award in 2023, IEEE M-COMSTD Exemplary Editor Award in 2024, and Clarivate Highly Cited Researcher Award in 2024. He was honoured with the IEEE ComSoc Best Young Researcher Award for EMEA 2023 in recognition of his research activities for the benefit of the Society. He has served as a TPC Co-chair for IEEE GLOBECOM 2023 WS18 workshop. He currently serves as an Editor of IEEE Communications Letters, IEEE Communications Standards Magazine, IEEE Communications Surveys & Tutorials, Journal of Network and Computer Applications, IEEE Transactions on Mobile Computing, and IEEE Transactions on Network Science and Engineering.

Affiliation: Trinity College Dublin,  Ireland, [e-mail: viet.pham@tcd.ie ] 

Dinh Thai Hoang (Senior Member, IEEE) is currently a faculty member at the School of Electrical and Data Engineering, University of Technology Sydney, Australia. He received his Ph.D. in Computer Science and Engineering from Nanyang Technological University, Singapore, in 2016. His research interests include emerging wireless communications and networking topics, especially machine learning applications in networking, edge computing, and cybersecurity. He has received several prestigious awards, including the Australian Research Council Discovery Early Career Researcher Award, IEEE TCSC Award for Excellence in Scalable Computing for Contributions on “Intelligent Mobile Edge Computing Systems” (Early Career Researcher), IEEE Asia-Pacific Board (APB) Outstanding Paper Award 2022, and IEEE Communications Society Best Survey Paper Award 2023. He is currently an Editor of IEEE TMC, IEEE TWC, IEEE TCOM, and IEEE TNSE .

Affiliation: University of Technology Sydney (UTS), Australia, [e-mail: Hoang.Dinh@uts.edu.au ] 

Quang-Trung Luu (Member, IEEE) is an associate professor (maître de conférences) at the Laboratory of Signals and Systems (L2S), CentraleSupélec, Université Paris-Saclay, France. He received his Ph.D. from CentraleSupélec, Université Paris-Saclay, in 2022. His doctoral research was conducted in collaboration with Nokia Bell Labs France under the CIFRE Ph.D. Fellowship program supported by the French government (ANRT). His thesis was awarded the 2022 Best PhD Dissertation Award on Distributed Systems and Networks by ACM SigOps France and the French research community on networks and distributed systems (GDR-RSD). His research focuses on resource management in next-generation communication networks (5G and beyond), leveraging mathematical optimization and artificial intelligence techniques. He serves as a reviewer for several top-tier international journals and as a reviewer and Technical Program Committee (TPC) member for leading international conferences in networking, computer science, and telecommunications. Since 2026, he has also been serving as co-coordinator of the Industry Communities within the IEEE Communications Society’s Next-Generation Networking and Internet Technical Committee (NGNI-TC) .

Affiliation: CentraleSupélec, Université Paris-Saclay, France, [e-mail: quangtrung.luu@centralesupelec.fr] 

Elif Ak (Member, IEEE) has been with the Department of Electrical and Computer Engineering at Memorial University since November 2024. She earned both her B.Sc. and Ph.D. degrees in Computer Engineering from ITU, in 2018 and 2024, respectively. Her doctoral research received recognitions, including the IEEE ComSoc Communications Software Technical Committee Student Achievement Award in 2024, and two Best Paper Awards, presented at IEEE GLOBECOM 2024 and IEEE IWCMC 2024. Additionally, her dissertation was honored as the Best Ph.D. Thesis of 2024 across all institutes and departments at ITU. Dr. Ak’s research interests include AI-driven networked systems, digital twins, IoT communication, and graph learning. She is also engaged in the academic community through her roles as an Organizing Committee Member and as both TPC Chair and Member at various international conferences, and IEEE Women in Engineering UK and Ireland.

Affiliation: Memorial University, Canada, [e-mail: elif.ak@mun.ca]