2026 5th International Conference on Cloud Computing, Performance Computing and Deep Learning (CCPCDL 2026)

Prof. Duoqian Miao

Tongji University

Duoqian Miao,PhD, IRSS / CAAI Fellow. He is currently a Second-Level Professor and Doctoral Supervisor at the School of Computer Science and Technology, Tongji University, as well as Deputy Director of the Key Laboratory of Embedded System and Service Computing, Ministry of Education. He has been consecutively listed in the World’s Top 2% Scientists Ranking.

His main research interests include machine learning, big-data analytics, multimodal large models, brain cognition/brain-inspired computing, granular computing, and rough sets. He has presided over more than 30 national and provincial-ministerial research projects, including multiple projects funded by the National Natural Science Foundation of China and two sub-projects of the National Key R&D Program of China. He has published over 200 SCI-indexed papers. He received the 2018 Wu Wen-jun Artificial Intelligence Natural Science Second-Class Award from the Chinese Association for Artificial Intelligence (1st Principal Investigator), together with six other provincial-ministerial science and technology awards including first-and second-class prizes.

He was the founding lead of the national-level first-class major“Data Science and Big Data Technology”(2022). He is in charge of two national-level first-class undergraduate courses: Principles and Technologies of Artificial Intelligence (2020) and Chinese Information Processing (2023). As the second completer, he has won two National Teaching Achievement Second-Class Awards (2023, 2010). He was awarded the 2010 Ministry of Education-IBM China Excellent Faculty Award and the 2011 Baosteel Education Excellent Teacher Award.

He has served/is serving as President of the International Rough Set Society, reviewer for National Science and Technology Awards, panel expert for the National Natural Science Foundation of China, Standing Director of the Chinese Association for Artificial Intelligence / Honorary Chair of the Special Committee on Granular Computing and Knowledge Discovery, Vice-Chairman of the Shanghai Association for Artificial Intelligence, Vice-Chairman of the Shanghai Computer Society, expert member of the Computer Discipline Review Panel under the Shanghai Academic Degrees Committee, and Deputy Director of the Shanghai Steering Committee for Computer Science and Technology Undergraduate Education. He acts as Associate Editor (AE) for three SCI international journals.

Prof. Xinwang Liu

National University of Defence Technology

Xinwang Liu is a Professor and Doctoral Supervisor at the College of Computer Science, National University of Defense Technology. His main research interests include machine learning and data mining. He is a recipient of the National Science Fund for Distinguished Young Scholars (2023) and the National Science Fund for Excellent Young Scholars (2019). He serves as the Principal Investigator for key projects of the National Natural Science Foundation of China and major projects under the Sci‑Tech Innovation 2030 Programme, and is a core member of the Category‑A Innovative Research Group supported by the National Natural Science Foundation of China.

He has published more than 150 papers in CCF-A ranked journals and conferences, among which 20 are ESI Highly Cited Papers. His Google Scholar citations exceed 27,000. He has been listed in the World’s Top 2% Scientists for four consecutive years (2022-2024). He works as an Associate Editor for top international journals including IEEE Transactions on Knowledge and Data Engineering (IEEE T-KDE), IEEE Transactions on Neural Networks and Learning Systems (IEEE T-NNLS), and IEEE Transactions on Cybernetics (IEEE T-CYB). He has also acted as Area Chair for top international conferences such as ICML and NeurIPS.

His research achievements have won numerous awards, including the First-Class Prize of Natural Science from China Computer Federation (2025), the First-Class Wu Wen-jun Natural Science Award from Chinese Association for Artificial Intelligence (2024), the First-Class Prize of Beijing Science and Technology Progress Award (2024), the First-Class Prize of Hunan Provincial Natural Science Award (2014, 2021), and the Second-Class Prize of Natural Science from China Society of Image and Graphics (2024, 2025).

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Prof. Hui Wang

Queen's University Belfast

Hui Wang is Professor of Computer Science in Queen’s University Belfast. Prior to that, he was Professor of Computer Science in the School of Computing, Ulster University, where he led the Artificial Intelligence Research Centre (2009-2021) and was Research Director (2018-2020). He obtained his PhD in Artificial Intelligence from Ulster University, MSc and BSc in Computer Science from Jilin University, China.

He is Principal Investigator of a number of regional, national and international projects in the areas of image/video analytics (EPSRC funded MVSE 2021-2024, Horizon 2020 funded DESIREE and ASGARD, FP7 funded SAVASA, Royal Society funded VIAD), spectral data analytics (EPSRC funded VIPIRS on virus detection 2020-2022), text analytics (INI funded DEEPFLOW, Royal Society funded BEACON), and intelligent content management (FP5 funded ICONS); and is co-investigator of several other funded projects. He is an associate editor of IEEE Transactions on Cybernetics, founding Chair of IEEE SMCS Northern Ireland Chapter (2009-2018), and a member of IEEE SMCS Board of Governors (2010-2013).

His research interests are machine learning, knowledge representation and reasoning, and their applications in image, video, spectra and text data analyses.

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Prof. Chen Peng

Shanghai University

Chen Peng is a Professor at the School of Mechatronic Engineering and Automation, Shanghai University, a Ph.D. Supervisor, and Director of the Research Center for Networked Control at Shanghai University. He has been selected for the National Hundred, Thousand and Ten Thousand Talent Project, awarded the State Council Special Allowance, and recognized as a Shanghai Distinguished Professor (“Eastern Scholar”), an Outstanding Academic Leader of Shanghai, and a recipient of the Shanghai Pujiang Talent Program. He has also been listed among the Highly Cited Researchers worldwide and China’s Highly Cited Scholars.

He is a Senior Member of IEEE, Chair of the IEEE Industrial Electronics Society (IES) Technical Committee on Networked Control and Applications, Chair of the IEEE Power & Energy Society (PES) Technical Committee on Smart IoT and Control in China, and Director of the Life System Modeling and Simulation Technical Committee of the Chinese Simulation Federation. He has conducted more than three years of visiting research at Central Queensland University and Queensland University of Technology in Australia, as well as The University of Hong Kong. He currently serves as an editorial board member and guest editor for several international journals, including IEEE Transactions on Industrial Informatics, Information Sciences, and Transactions of the Institute of Measurement and Control.

He has authored three English monographs and one Chinese monograph. He has received two First Prizes of the Chinese Simulation Federation Innovation Technology Award/Natural Science Award in 2022 and 2021 (both ranked first), two Second Prizes of the Shanghai Natural Science Award in 2018 and 2013 (both ranked first), and two Second Prizes of the Jiangsu Provincial Science and Technology Progress Award in 2008 and 2014 (ranked third and fifth, respectively). He has led one National Key Research and Development Program project andtwo Key Projects of the National Natural Science Foundation of China. He has published or accepted more than 200 SCI-indexed journal papers, with over 24,000 citations and a Google Scholar h-index of81.

His research interests include networked control systems, secure estimation and control of cyber-physical systems (CPSs), intelligent fault diagnosis, and energy-efficiency optimization of thermal power systems.