| Prof. Guangjie Han IEEE Fellow, IET Fellow, AAIA Fellow Hohai University, China Guangjie Han (Fellow, IEEE) is presently serving as a Professor in the Department of Internet of Things Engineering at Hohai University, Changzhou, China. He obtained his Ph.D. degree from Northeastern University, Shenyang, China in 2004. In February 2008, he successfully completed his tenure as a Postdoctoral Researcher in the Department of Computer Science at Chonnam National University, Gwangju, Korea. From October 2010 to October 2011, he held the position of Visiting Research Scholar at Osaka University, Suita, Japan. During January 2017 to February 2017 period he served as a Visiting Professor at City University of Hong Kong in China. Furthermore，from July 2017 to July 2020，he was appointed as Distinguished Professor at Dalian University of Technology in China. His current research interests encompass various domains including Internet of Things (IoT), Industrial Internet (IIoT), Machine Learning and Artificial Intelligence (AI), Mobile Computing and Security and Privacy. Dr. Han has an extensive publication record with over 500 peer-reviewed journal and conference papers along with approximately160 granted and pending patents. His remarkable academic impact is evident through his H-index which stands at an impressive value of60and i10-index reaching257 according to Google Citation(Google Scholar). The total citation count for his papers exceeds13600+ times. Dr. Han is a Fellow of the UK Institution of Engineering and Technology (FIET). He has served on the Editorial Boards of up to 10 international journals, including IEEE Transactions on Industrial Informatics (TII), IEEE Transactions on Cognitive Communications and Networking (TCCN), IEEE Systems Journal, IEEE/CCA Journal of Automation Science and Engineering (JAS), and IEEE Network. He has guest-edited several special issues in prestigious IEEE Journals and Magazines such as the IEEE Journal on Selected Areas in Communications (JSAC), IEEE Communications Magazine, IEEE Wireless Communications Magazine, and Computer Networks. Dr. Han has also held leadership positions as chair of organizing and technical committees in numerous international conferences. He has been honored with the 2020 Best Paper Award from the prestigious journal, IEEE Systems Journal, as well as the 2017-2019 Outstanding Associate Editor Award from renowned publication,IEEE ACCESS. Additionally, he is recognized as a Fellow by the Institute of Electrical and Electronics Engineers (IEEE). |
 | Prof. Xin Luo IEEE Fellow Southwest University, China Dr. Luoholds a Ph.D. in Engineering and completed postdoctoral training. Currently serving as a Rank-2 Distinguished Professor and Doctoral Supervisor at Southwest University, he is the Dean of the School of Computer and Information Science · School of Software. An IEEE Fellow and National High-Level Leading Talent, he was selected for the Chinese Academy of Sciences' Hundred Talents Program. He earned his Bachelor's degree in Computer Science from the University of Electronic Science and Technology of China (2005) and a Ph.D. in Engineering from Beihang University (2011). His research focuses on data science, with 350+ publications including 120 CAS Tier-1 journal papers, 151 IEEE Transactions/Journal articles (e.g., IEEE T-PAMI, T-KDE, T-NNLS), and 32 ESI Highly Cited Papers, achieving a cumulative impact factor >1,000. His work has been cited >9,000 times (Web of Science) and >14,000 times (Google Scholar), with an H-index of 74. He has led 7 national and 10+ provincial research projects, securing >¥50 million in funding. With 35 authorized invention patents and 27 commercialized technologies generating >¥200 million in economic benefits, he received the First Prize of Chongqing Natural Science Award (2019, first completer), First Prize of Chongqing Science and Technology Progress Award (2018, second completer), and Wu Wenjun AI Science and Technology Progress Award (CAAI, 2018, third completer). He serves on the editorial boards of IEEE Transactions on Neural Networks and Learning Systems and IEEE/CAA Journal of Automatica Sinica (a Key Journal under China's Excellence Action Plan), earning Outstanding Editor Awards from both (2020-2024). Continuously listed in Stanford-Elsevier's "World's Top 2% Scientists" (lifetime impact) and Elsevier's "Highly Cited Chinese Researchers" since 2022. |
 | Prof. Dongrui Wu IEEE Fellow Huazhong University of Science and Technology, China |
 | Prof. Dave Towey University of Nottingham Ningbo, China Professor Dave Towey received the BA and MA degrees in computer science, linguistics, and languages from the University of Dublin, Trinity College, Ireland; the MEd degree in education leadership from the University of Bristol, U.K.; and the PhD degree in computer science from The University of Hong Kong, Hong Kong S.A.R., China. He has been with University of Nottingham Ningbo China (UNNC) since 2013, where he serves as the head of the School of Computer Science, and as deputy director of the International Doctoral Innovation Centre. He previously served as the associate dean of education and student experience for the Faculty of Science and Engineering. His current research interests include software testing (especially adaptive random testing, for which he was amongst the earliest researchers who established the field, and metamorphic testing) and technology-enhanced education. He co-founded the ICSE International Workshop on Metamorphic Testing in 2016. He is a fellow of the HEA, and a senior member of the ACM and IEEE. |
