György Dán

KTH Royal Institute of Technology, Sweden

György Dán is professor in teletraffic systems at KTH Royal Institute of Technology, Stockholm, Sweden. He received the M.Sc. degree in computer engineering from the Budapest University of Technology and Economics, Hungary in 1999, the M.Sc. degree in business administration from the Corvinus University of Budapest, Hungary in 2003, and the Ph.D. in Telecommunications from KTH in 2006. He worked as a consultant in the field of access networks, streaming media and videoconferencing 1999-2001. He was a visiting researcher at the Swedish Institute of Computer Science in 2008, a Fulbright research scholar at the Information Trust Institute at University of Illinois Urbana-Champaign in 2012-2013, and an invited professor at EPFL in 2014-2015. His research interests include the design and analysis of content management and computing systems, game theoretical models of networked systems, and cyber-physical system security in power systems.

He is an author or co-author of over 150 scientific publications. He received the award of the Ericsson Research Foundation in 2010, 2012 and 2014, and in 2012 he was awarded a Fulbright research grant from the Fulbright commission. His and his group's research received the best paper award at IFIP/TC6 Networking 2008, at IEEE P2P 2010, at SNCNW 2013, and the best paper award of the IEEE Comsoc/ISOC Internet Technical Committee for 2016-2017. His students received the best student paper award at ITC 23 in 2011 and the best student conference paper award of the IEEE VT/COM/IT Sweden chapter in 2018. He has served on the TPC of IEEE and ACM conferences, like IEEE Infocom, IEEE ICDCS, ACM e-Energy, and is a regular reviewer for IEEE journals and magazines. He was symposium TPC co-chair of IEEE SmartGridComm 2014 and 2018, Workshop chair of ICME2015, TPC co-chair of ITC 2019, general co-chair of GameSec 2019, TPC co-chair of IEEE SmartGridComm 2020, and has been an area editor of Elsevier Computer Communications and of IEEE Trans. on Mobile Computing.

Jie Wu

Temple University, USA

Jie Wu is Chief Scientist of China Telecom and Director of China Telecom Cloud Computing Research Institute. Before he joined China Telecom, he was Laura H. Carnell Professor at Temple University and the Director of the Center for Networked Computing (CNC). His current research interests include mobile computing and wireless networks, routing protocols, network trust and security, distributed algorithms, applied machine learning, and cloud computing. He serves on several editorial boards, including IEEE/ACM Transactions on Networking. Dr Wu is/was general chair/co-chair for IEEE IPDPS'23, ACM MobiHoc'23, and IEEE CCGrid'24 as well as program chair/cochair for IEEE INFOCOM'11 and CCF CNCC'13. He was an IEEE Computer Society Distinguished Visitor, ACM Distinguished Speaker, and chair for the IEEE Technical Committee on Distributed Processing (TCDP). Dr Wu is a Fellow of the AAAS and a Fellow of the IEEE. He is the recipient of the 2011 China Computer Federation (CCF) Overseas Outstanding Achievement Award. He is a Member of the Academia Europaea.

Dario Pompili

Rutgers University, USA

Dr. Dario Pompili joined the faculty of the Dept. of Electrical and Computer Engineering (ECE) at Rutgers in 2007, where he is the director of the Cyber-Physical Systems Laboratory (CPS Lab) and the site co-director of the NSF I/UCRC Center for Cloud and Autonomic Computing (CAC).

He received a PhD degree in ECE from the Georgia Institute of Technology (GaTech) in 2007, where he worked at the Broadband Wireless Networking Laboratory (BWN-Lab) directed by Prof. I. F. Akyildiz. He had previously received a 'Laurea' (integrated BS/MS) and Doctorate degrees in Telecommunications and Systems Engineering from the University of Rome “La Sapienza,” Italy, in 2001 and 2004, respectively.

In 2011, Dr. Pompili received the National Science Foundation (NSF) CAREER Award to design efficient communication solutions for underwater multimedia applications. In 2012, he received the Office of Naval Research (ONR) Young Investigator Program (YIP) Award, one out of 26 awarded nationwide, to develop an uncertainty-aware autonomic mobile computing framework as well as the Defense Advanced Research Projects Agency (DARPA) Young Faculty Award (YFA), one out of 51 awarded nationwide, to enable real-time information processing based on compute-intensive models for operational neuroscience. In 2015 he was nominated Rutgers Chancellor's Scholar.

Dr. Pompili has published more than a hundred refereed scholar publications; he has about 17,874 citations, an h-index of 54, and a i10-index of 166 (Google Scholar, Aug.'25). He was elevated to a fellow of IEEE Communications Society and since 2014 he has been the senior member of the ACM.

Lingjie Duan

The Hong Kong University of Science and Technology (Guangzhou), China

Lingjie Duan is a Professor in both Internet of Things Thrust and Artificial Intelligence Thrust at HKUST(GZ). He earned his Ph.D. from The Chinese University of Hong Kong in 2012. Following a Visiting Scholarship at the University of California, Berkeley, he joined the Singapore University of Technology and Design (SUTD), a collaboration with MIT. At SUTD, he rose to tenured Associate Professor and then served as Associate Head (Research) of the Engineering Systems and Design Pillar/School. He was also instrumental in founding the SUTD Wireless Innovation Centre (SWIC), collaborating with leading tech companies on IoT and AI research. His research is distinctively interdisciplinary, covering human-centric AI, distributed machine learning, large language models, multi-agent autonomous systems, and computer networking. He has served as editor for major IEEE/ACM journals in computer communications and networking, and chaired IEEE/IFIP WiOpt 2023 and AAAI 2026. Since 2021, Stanford University has recognized him among the World's Top 2% Scientists, and ScholarGPS named him a 2022 Highly Ranked Scholar (Prior Five Years). His awards include the First Prize Paper Award from the Computer Academy of Guangdong (2024), a Finalist for the Best Paper Award at IEEE/IFIP WiOpt 2024, and the SUTD Excellence in Research Award. Earlier in his career, he was the Runner-up for the IEEE ComSoc Best Young Professionals Award (2016) and received the 10th Asia-Pacific Outstanding Young Researcher Award from the IEEE ComSoc (2015). His research has been robustly supported by over $10 million USD in funding, spanning grants from the National Research Foundation of Singapore, Ministry of Education, Ministry of Defence, Singapore National Laboratories, MIT-SUTD Joint Postdoctoral Program, and partnerships with global tech giants. His mentorship has also been highly successful, with numerous Ph.D. and postdoc graduates now holding senior faculty positions in prestigious academic institutions (e.g., Sun Yat-Sen University, Chinese University of Hong Kong (Shenzhen), Northwestern Polytechnical University) and leading industry roles (e.g., NSF AI Institute for Future Edge Networks and Distributed Intelligence (USA), Samsung, Huawei Global) globally.

Ningxin Su

The Hong Kong University of Science and Technology (Guangzhou), China

Ningxin Su is a tenure-track Assistant Professor in the IoT Thrust, Information Hub, and holds a joint appointment in the Thrust of Robotics and Autonomous Systems, System Hub, at The Hong Kong University of Science and Technology (Guangzhou). She is also a Cross-Campus Faculty Affiliate at HKUST (Clear Water Bay). She received her Ph.D. degree from the Department of Electrical and Computer Engineering (ECE) at the University of Toronto in 2025, under the supervision of Prof. Baochun Li, and her B.S. degree from Beijing University of Posts and Telecommunications (BUPT) in 2019. She has also worked as a research assistant at City University of Hong Kong and The Hong Kong University of Science and Technology, under the supervision of Prof. Cong Wang and Prof. Bo Li, respectively.

During her Ph.D., her research focused on distributed machine learning and federated learning, particularly the training of large language models in edge-computing and metaverse environments. After joining HKUST(GZ), she will continue pursuing research in these interdisciplinary areas, with a particular focus on embodied AI and distributed systems, with a particular focus on robot manipulation and collaborative tasks involving multiple robotic arms. She received the IEEE MetaCom Best Paper Award in 2023.