INVITED SPEAKERS

 

Prof. Hao Zhang

Fellow of American Statistical Association and an Elected Member of the International Statistical Institute

Michigan State University, USA

Biography: Hao Zhang is Professor and Chair at the Department of Statistics and Probability at Michigan State University. He is Fellow of American Statistical Association and an Elected Member of the International Statistical Institute. He has served editorial boards of Journal of the American Statistical Association, Statistica Sinica, Environmetrics, and Statistics & Probability Letters. His research interests are primarily in spatial and spatio-temporal statistics. His work includes both theoretical investigation into asymptotic properties of machine learning methods for spatial data and development of algorithms for the analysis of big spatial data. He collaborates with researchers in ecology, environmental sciences, climatology, natural resources and health sciences.

 

Prof. Ji Wei

Shandong University, China

Biography: Ji Wei received his M.S. degree in BeiJing Institute of Technology in 2003 and his Ph D degree in 2006 from Beijing University of Posts and Telecommunications. He is working as a professor in Shandong University. In 2012.9-2013.9, he worked as visiting scholar in Queen’s University Canada. His researching interests include: Artificial Intelligence, Data Center Networking, High speed optical switching and networking, Optical access networking.

 

Prof. Laxmisha Rai

Fellow of the Royal Statistical Society (FRSS), UK

Shandong University of Science and Technology, China

Speech Title: Learning Edge: Model-based Edge Learning through Prompt Engineering for Personalized Education

Abstract: The growth of Large Language Models (LLMs) and the influence of Generative Artificial Intelligence (GenAI) tools have given rise to novel learning paradigms for educators. In this paper, we propose Model-based Edge Learning (MbEL), an “edge learning” framework that shifts learning from centralized, human-centric institutions to the “edge” of the network, where individual users interact conversationally with a pre-trained foundational model to acquire knowledge and skills. Unlike traditional edge computing, which focuses on data processing, MbEL emphasizes cognitive offloading and personalized knowledge acquisition. This paper conceptualizes MbEL, illustrating its principles through case studies conducted with the DeepSeek model using prompt engineering methods such as zero-shot, few-shot, and chain-of-thought (CoT) prompting. As this study focuses exclusively on personalized learning through prompt engineering, to ensure response quality, we established a benchmarking system using LLM-as-a-Judge framework with structured prompt templates. This allows learners to systematically evaluate and verify the answers generated by the model. The proposed method is tested for generation, and evaluation of standard algorithms taught in the undergraduate Data Structures course serving as the evaluation domain. Furthermore, we discuss its profound implications for education, including the shift from knowledge retrieval to reasoning development, and challenges such as model bias and academic integrity. However, ethical considerations such as model hallucinations and trusting incorrect answers remain critical, underscoring the continued necessity of human oversight in guiding the student learning process.

Biography: Laxmisha Rai is a professor at College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, China. He received Ph.D degree in Electronics from Kyungpook National University, South Korea. He worked as a Post-Doctoral Fellow, at Intelligent Robot Research Center, Soongsil University of South Korea. He is a Senior Member of IEEE, Senior Member of ACM, and Fellow of the Royal Statistical Society (FRSS), UK. His research interests include generative artificial intelligence, autonomous mobile robots, real-time systems, embedded systems, Internet of Things (IoT), wireless sensor networks, MOOC, and Bilingual Education. He is the author of over 80 publications including patents, books, book chapters, book reviews, international journal articles, international conference proceedings, and magazine articles. He is currently serving as Associate Editor of IEEE Access Journal, Editorial Board Member of Journal of Information Systems Education, and Editorial Review Board Member of Social Sciences & Humanities Open (Elsevier) Journal. His papers appeared in reputed journals such as Knowledge-Based Systems, IEEE Transaction on Intelligent Transportation Systems, IEEE Potentials, IEEE Sensors Journal, IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans etc.

 

Prof. Jiehan Zhou,

Director of the International Education and Research Collaboration Office in the School, Chair of IEEE-Qingdao CH10879

Shandong University of Science and Technology, China

Biography: Professor Jiehan Zhou is a Ph.D. supervisor and a professor at the School of Computer Science and Engineering, Shandong University of Science and Technology (SDUST), the Director of the International Education and Research Collaboration Office in the School, the Chair of IEEE-Qingdao CH10879, an affiliate research fellow of the Middleware Systems Research Group (the MSRG Lab), University of Toronto since 2010, the Docent (Adjunct Professor) at the Department of Information Technology and Electrical and Engineering, University of Oulu, Finland. He received his Ph.D. in Mechanical Automation from Huazhong University of Science and Technology in 2000 under the supervision of Prof. CAS academician Shuzi Yang (Former President of HUST) and his Ph.D. in Computer Engineering from the University of Oulu in 2011. Professor Zhou has worked at top universities and research institutions worldwide, including Tsinghua University, VTT Technical Research Centre of Finland, INRIA in France, Luxembourg Institute of Science and Technology (LIST), University of Oulu, and the University of Toronto. With over 20 years of international research and industrial experience, he has held positions such as Senior Scientist, Team Leader, Laboratory Director, General Manager, and Principal Engineer at Huawei Canada. He has also served as visiting professors at several universities in China.

Professor Zhou is dedicated to research in the fields of intelligent manufacturing, system modeling and simulation, industrial internet, industrial big data, industrial large models, and digital twins. He has led or participated in numerous research projects funded by China, EU, and Canada, including the ERCIM Fellowship Program, the EU FP6-Amigo Project, and the EU ITEA4-CAM4Home Project. To date, he has published over 150 research papers in these areas.


Assoc. Prof. Chuanting Zhang

Shandong University, China

Biography: Chuanting Zhang is an associate professor at Shandong University, Jinan, China. He previously worked as a senior postdoctoral researcher at the University of Bristol and a postdoctoral researcher at King Abdullah University of Science and Technology (KAUST). His research interests encompass spatiotemporal data mining and intelligent networks. He has led several projects, including those funded by national talent programs, the National Natural Science Foundation of China, and the Shandong Province Excellent Youth Science Fund Project. He has proposed a series of wireless traffic prediction algorithms, with publications in top-tier journals and conferences, including IEEE JSAC and IEEE INFOCOM. His research achievements have been recognized with awards such as the IEEE ICCT Young Scientist Award, the Shandong Province Excellent Doctoral Dissertation Award, the Excellent Doctoral Dissertation Award of the Shandong Artificial Intelligence Society, and the Best Paper Award at IEEE SmartData. He is a Senior Member of IEEE, a Member of ACM, and a committee member of the CCF Technical Committee on Network and Data Communications.
Personal Website: https://faculty.sdu.edu.cn/ctzhang

 

Associate Researcher Shuai Ma

Peng Cheng Laboratory, China

Biography: Shuai Ma received the B.S. and Ph.D. degrees in communication and information systems from Xidian University, Xi'an, China, in 2009 and 2016, respectively. From 2014 to 2015, he was a Visiting Scholar with the Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA. From 2016 to 2019, he has been an associate Professor with the School of Information and Control Engineering, at the China University of Mining and Technology, Xuzhou, China. From 2019 to 2022, he worked as a Postdoctoral Fellow with Telecom Paris, France. Since 2023, he has been an Associate Researcher at Peng Cheng Laboratory, Shenzhen, China. His research interests include semantic communications, visible light communications, and network information theory.

 

Assoc. Prof. Mingjie Shao

Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China

Biography: Mingjie Shao received a bachelor’s degree from Xidian University, China, in 2015, as part of the “Excellent Engineer Education Program.” In 2020, he earned a Ph.D. in Electronic Engineering from the Chinese University of Hong Kong, supported by the “Hong Kong PhD Fellowship Scheme (HKPFS)” under the supervision of Prof. Wing‑Kin Ma (IEEE Fellow). From 2020 to 2023, he worked as a postdoctoral researcher in the Department of Electronic Engineering at the Chinese University of Hong Kong. He was then a Professor, awarded “Qilu Young Scholar”, in the School of Information Science and Engineering at Shandong University during 2023‑2024. Currently, he is an Associate Professor in the State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science (AMSS), Chinese Academy of Sciences (CAS), and has been awarded the “Chen Jingrun Future Star.”

His main research interests include: 1) Signal processing for wireless communication; 2) Optimization and statistical methods in signal processing and machine learning; 3) Cross‑disciplinary research in deep learning and signal processing. In recent years, he has published over 40 SCI/EI papers in top journals and conferences such as IEEE TSP、IEEE JSTSP、IEEE TIFS and IEEE ICASSP. Several of his papers have been recognized multiple times in the “Top 50 Popular Articles” list of IEEE journals.

 

Assoc. Prof. Qiang He

Northeastern University, China

Biography: Qiang He received the Ph.D. degree in computer application technology from the Northeastern University, Shenyang, China in 2020. He also worked with School of Computer Science and Technology, Nanyang Technical University, Singapore as a visiting PhD researcher from 2018 to 2019. He is currently an Associated Professor at the College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China. His research interests include machine learning, social network analytic, data mining, health care, infectious diseases informatics, etc. He has published more than 70 journal articles and conference papers, including IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Cloud Computing, IEEE Transactions on Computational Social Systems, IEEE Transactions on Cognitive and Developmental Systems.

Qiang He is with the School of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China, e-mail: heqiang@bmie.neu.edu.cn

 

Assoc. Prof. Xiangping Zhai

Nanjing University of Aeronautics and Astronautics, China

Biography: Dr. Xiangping Bryce Zhai is currently an Associate Professor at Nanjing University of Aeronautics and Astronautics, China. He received his PhD from City University of Hong Kong in 2013. His research interests include the Internet of Intelligent Things, edge computing, resource optimization, communication networks, and smart cooperation. He has published over 60 relevant papers in international journals such as JSAC, TON, TMC, TCOM, and TWC. He has received several awards, including the Second Prize for Young Science and Technology from the Jiangsu Association for Information Technology Applications, the China’s Top 100 Most Influential International Academic Papers Award, and Outstanding Teacher Award for Computer Science Majors in Colleges and Universities by the Ministry of Education. Meanwhile, he has participated in many national and Jiangsu provincial key R&D plans, National Natural Science Foundation, Civil Aviation Administration of China, and other projects.

 

Assoc. Prof. Wei Yang

Shenzhen Technology University, China

Biography: Wei Yang, Ph.D., Associate Professor of Engineering, IEEE Member. He received the Ph.D. degree in information and communication engineering from Beijing University of Posts and Telecommunications (BUPT), Beijing, China. He was also a Research Fellow with the State Key Laboratory of Networking and Switching Technology, BUPT, China. He has served as the TPC of IEEE ICCT (2021-2024), the Session Chair of IEEE WCCCT 2025, and also served as a reviewer for multiple well-known international academic journals and conferences. His research interests include intelligent wireless communication, cyber-physical system, information security and fusion.

 

Assoc. Prof. Liwei Yang

China Agricultural University, China

Biography: Dr. Liwei Yang, professor of China Agricultural University. She received the B.E. degree in Telecommunication Engineering from Chongqing University of Posts and Telecommunications, China, and the Ph.D. degree in Information and Communications Engineering from Beijing University of Posts and Telecommunications, China. From 2009 to 2011, she was a Postdoctoral Research Fellow with the Department of Electronic Engineering, Tsinghua University, China. In 2015, she joined the faculty of the College of Information and Electrical Engineering, China Agricultural University. Her research interests include optical networks, optical wireless communications and visible light communication. She participated in a number of national projects and published more than 100 papers. She served as a TPC member of several international academic conferences and a reviewer for several international journals.

 

Assoc. Prof. Danyang Zheng

Southwest Jiaotong University, China

Biography: Dr. Danyang Zheng is an Assistant Professor at Southwest Jiaotong University. He serves as a Young Editorial Board Member for the journal Big Data Mining and Analytics (Impact Factor: 7.7, SCI Q1 Top). He earned his Bachelor's degree in Computer Science and Technology from the University of Electronic Science and Technology of China in 2016. As a China Scholarship Council awardee, he pursued his PhD at Georgia State University under the supervision of Professor Yi Pan and Professor Xiaojun Cao. He received his doctorate in May 2021, graduating as Outstanding PhD Graduate (top-ranked among 400+ candidates). In August 2021, he joined Soochow University as a University Distinguished Young Scholar. Since January 2023, he has held his current position at Southwest Jiaotong University. He has published over 60 high-impact SCI/EI papers in leading venues including IEEE/ACM ToN, IEEE TDSC, IEEE TCoM, IEEE TNSM, IEEE TCE, IEEE TNSE, IEEE Internet of Things Journal, Computer Networks，IEEE INFOCOM，IEEE ICC，IEEE GLOBECOM, IEEE ICCCN, WCCCT, ICCC. He also serves as the software testing skill competition manager for WorldSkill 2026 Shanghai.

 

Assoc. Prof. Chengzong Peng

Chengdu University of Information Technology, China

Biography: Chengzong Peng, Ph.D., Associate professor, IEEE member, CCF member. His research focuses on network reliability, cyberspace security, artificial intelligence. He has published over 30 SCI/EI papers, including IEEE INFOCOM, IEEE TNSM, IEEE IoTJ, and Computer Networks. He is currently leading/working on multiple national and provincial-level scientific research projects. He is serving as the TPC of ICNC 2025, and has served as the Session Chair of WCCCT 2024, WCCCT 2025, and the Talk Chair of ACM TURC 2024. He has also served as a reviewer for multiple well-known international academic journals and conferences, such as Big Data Mining and Analytics, Expert System with Applications, and Computer Network.

 

Assoc. Prof. Dongyang Li

China University of Petroleum (Huadong), China

Biography: Dongyang Li is currently an Associate Professor with the College of Oceanography and Space Informatics, China University of Petroleum (Huadong). He received the Ph.D. degrees in information and communication engineering from the School of Information Science and Engineering, Shandong University, Jinan, China, in 2023. He is also with the Shandong Key Laboratory of intelligent Communication and Sensing-Computing Integration, China. He has served as TPC members of ICC'25, ICCC'25. His research interests include AI-enhanced wireless communications, edge computing/caching and UAV Communications.

 

Dr. Yanqing Xu

The Chinese University of Hong Kong, Shenzhen, China

Biography: Yanqing Xu received the Ph.D. degree in communication and information system from the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China, in 2019. He was a senior engineer with Huawei Technologies Company Ltd., from July 2019 to July 2020. From September 2020 to August 2022, he was a PostDoc researcher with The Chinese University of Hong Kong, Shenzhen, where he is currently working as a research assistant professor. He is also with the Shenzhen Research Institute of Big Data. Dr. Xu’s current research interest lies in distributed signal processing algorithm designs for large-scale antenna systems. Dr. Xu served as a special session co-organizer and chair in IEEE SPAWC 2024. He was a recipient of the Shenzhen Overseas High-Caliber Personnel, and the Top 3% Paper Recognition of the IEEE ICASSP 2023. Several of his research outcomes have been successfully deployed in Huawei’s base stations, for which he has received the Huawei Technical Cooperation Achievement Transformation Award (1st Prize) in 2024, the Huawei Wireless Product Line Outstanding Technical Cooperation Project Award in 2024, and the Huawei Technical Cooperation Achievement Transformation Award (2nd Prize) in 2022. He is currently serving on the Editorial Board of EURASIP Journal on Wireless Communications and Networking.

 

Dr. Kaikai Liu

Chongqing University of Posts and Telecommunications, China

Biography: Kaikai Liu is a Doctoral Supervisor and Senior Engineer at Chongqing University of Posts and Telecommunications (CQUPT), China. He obtained his doctoral degree from CQUPT.
With long-term dedication to the field of mobile communications, he has solid industry-academia-research integration experience. He previously held positions at Datang Mobile Communications Equipment Co., Ltd. and China Mobile Group Design Institute Co., Ltd. Chongqing Branch. His current research interests focus on wireless sensing, integrated communication and sensing, and the Internet of Things (IoT).
He has led a series of research projects, including one General Program of the National Natural Science Foundation of China, one Key Program of the Natural Science Foundation of Chongqing, and multiple horizontal projects. He has published over 40 papers indexed by SCI/EI, been granted multiple invention patents, and participated in the formulation of 2 group standards.