Weiping Ding (M’16-SM’19) received the Ph.D. degree in Computer Science, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China, in 2013. He was a Visiting Scholar at University of Lethbridge(UL), Alberta, Canada, in 2011. He was a Post-Doctoral Fellow / Research Fellow / Visiting Scholar at the Department of Electrical and Computer Engineering, University of Alberta (UA), Alberta, Canada in 2014, at the Brain Research Center, National Chiao Tung University (NCTU), Hsinchu, Taiwan, China from 2014 to 2015, in Hong Kong Polytechnic University (HKPU), Hong Kong in 2015, at the Department of Electrical and Computer Engineer, National University of Singapore (NUS), Singapore in 2016, and at Computational Intelligence and Brain Computer Interface (CIBCI) Center, CAI, University of Technology Sydney (UTS), Australia from 2017 to 2018.  Now, Dr. Ding is the Chair of IEEE CIS Task Force on Granular Data Mining for Big Data. He is a member of Senior IEEE, IEEE-CIS, ACM, CCAI and Senior CCF. He is a member of Technical Committee on Soft Computing of IEEE SMCS, on Evolving Intelligent Systems of IEEE SMCS, on Granular Computing of IEEE SMCS, and on Data Mining and Big Data Analytics of IEEE CIS. 

Dr. Ding is currently a Full Professor with the School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China，and also the supervisor of  Ph.D postgraduate by the Faculty of Data Science at City University of Macau. His research interests include deep neural networks, granular data mining, uncertainty modeling in intelligent transportation systems, rough sets theory, fuzzy sets theory, big data optimization and analysis for Various real application scenarios, and medical images analysis. 

Dr. Ding has published more than 360 research peer-reviewed journal and conference papers in this field, including over 160 IEEE Transactions papers, such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Network and Learning System, IEEE Transactions on Evolutionary Computation, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cybernetics, IEEE Transactions on Industrial Informatics, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Big Data, IEEE Transactions on Cognitive and Developmental Systems, etc, and he He has co-authored two books. He has holds 37 approved invention patents, including two U.S. patents and one Australian patent. His nineteen  authored or co-authored papers have been selected as ESI Highly Cited Papers (i.e. listed in Top 1% globally in the corresponding discipline).

Dr. Ding was an Excellent-Young Teacher (Qing Lan Project) of Jiangsu Province in 2014, a High-Level Talent (Six Talent Peak) of Jiangsu Province in 2016, and a Middle-aged and Young Academic Leaders (Qing Lan Project) of Jiangsu Province in 2019. He was awarded the Best Paper of ICDMA’15. Dr. Ding was a recipient of the Medical Science and Technology Award (Second Prize) of Jiangsu Province, China, in 2017, and the Education Teaching and Research Achievement Award (First Prize in 2021, Third Prize in 2018) of Jiangsu Province, China. He was the Outstanding Associate Editor of 2018 for IEEE Access Journal. Dr. Ding was awarded two Chinese Government Scholarships for Overseas Studies in 2011 and 2016.  He ranked within the top 2% Ranking of Scientists in the World by Stanford University (2020-2024).

Dr. Ding is vigorously involved in editorial activities. He serves/served on the Editorial Advisory Board of Knowledge-Based Systems (Elsevier) and Editorial Board/ Area Editor of Information Fusion (Elsevier), Engineering Applications of Artificial Intelligence (Elsevier), and Applied Soft Computing (Elsevier). He serves/served as an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Intelligent Transportation Systems,IEEE Transactions on  Emerging Topics in Computational Intelligence,IEEE Transactions on Artificial Intelligence, IEEE Transactions on Intelligent Vehicles, Information Sciences (Elsevier), IEEE/CAA Journal of Automatica Sinica, Neurocomputing (Elsevier), Swarm and Evolutionary Computation (Elsevier), IEEE Access and Journal of Intelligent & Fuzzy Systems, and Co-Editor-in-Chief of Journal of Artificial Intelligence and System. He is the Leading Guest Editor of Special Issues in several prestigious journals, including IEEE Transactions on Evolutionary Computation, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, Information Fusion, Information Sciences, Applied Soft Computing and so on. He has delivered more than 50 keynote speeches at international conferences and has served as the Program Chair, Workshop Chair, or Program Committee Member of several international conferences and symposiums in the area of data mining, fuzzy decision-making, and knowledge engineering. Now he is the Co-Editor-in-Chief of such three international journals as Journal of Artificial Intelligence and Systems, Journal of Artificial Intelligence Advances, and Sustainable Machine Intelligence Journal.

Research Interests

• Deep Neural Networks, Data Mining, Machine Learning for Human-Centred Computing

• Fuzzy Theory and System, Rough Set Theory, Granular Computing

• Big Data Optimization and Analysis, Medical Images Analysis

• Co-evolutionary Algorithm, Quantum-inspired Evolutionary Algorithm 

Education

• Ph.D, From April 2010 to November 2013,  Ph. D in Computer Science and Technology, College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiansu, China.   (Outstanding Doctoral Dissertation Award due to excellent performance and achievement)

• M.Sc, From September 2002 to May 2005, M.Sc in Software Engineering, School of Computer Science and Technology, Suzhou University, Suzhou, China. 

• B.Sc, From September 1998 to June 2002, B.Sc in Computer Science and Technology, Department of Computer Science and Technology, Nantong University, China. 

Work Experiences

• The supervisor of Master and  Ph.D postgraduate by the Faculty of Data Science at City University of Macau, from May, 2022

• Full Professor, School of Information Science and Technology, Nantong University, China, From July 2020. 

• Deputy Dean of School of Information Science and Technology, Nantong University, China, From January 2019. 

• Research Fellow, Visiting Scholar, Computational Intelligence and Brain Computer Interface (CIBCI), Center for Artificial Intelligence, University of Technology Sydney, Australia, From 2017 to 2018.

• Associate Professor, School of Computer Science and Technology, Nantong University, China, From May 2015 to July 2020.

• Post-Doctoral Fellow, Research Fellow, Department of Electrical and Computer Engineer, National University of Singapore (NUS) with Professor Kay Chen TAN, in 2016.

• Post-Doctoral Fellow, Brain Research Center, National Chiao-Tung University (NCTU), Hsinchu, Taiwan, with Professor Chin-Teng (CT) Lin, From 2014 to 2015.

• Post-Doctoral Fellow, Department of Electrical and Computer Engineering, University of Alberta, Alberta, Canada, From January 2014 to May 2014.

• Visiting Scholar, Department of Computer Science, University of Lethbridge, Lethbridge, Alberta, Canada, with Dr. Jackie.Rice, in 2011.

Selected Research Grants

• The Joint Fund of the National Natural Science Foundation of China and the Civil Aviation of China: "Research and cooperative optimization method of energy efficiency of airport flight area under the condition of large-area flight delay" (No.U2433216) 2025.1-2028.12.

• National Natural Science Foundation of China: “Research on multi-granularity fuzzy deep learning modeling and its interpretability for multi-modal electronic medical records” (No.62576178) 2026.1-2029.12.  Chief Investigator: Weiping Ding

•  National Key Research and Development Program of China:"Collaborative research on fine-scale analysis of high-spatio-temporal throughput medical data and key technologies for security sharing"（No.2024YFE0202700）2025.1-2027.12.

• National Natural Science Foundation of China: “Knowledge Collaborative Reduction Theories and Approaches of Large-scale Electronic Medical Records for Cloud Computing” (No.61976120) 2020.1-2023.12.

• National Natural Science Foundation of China: “Research on Mechanism and Model of Attribute Co-evolutionary Reduction for Incomplete Electronic Medical Record” (No.61300167), 2014.1-2016.12.

• Natural Science Foundation of Jiangsu Province, China: “Multi-modal big data knowledge discovery model and algorithm based on multi-granularity computing” (No. BK20231337), 2023.7-2026.6.

• Natural Science Foundation of Jiangsu Province, China: “Research on uncertainty knowledge discovery of big data electronic medical records based on multi-granularity cognition” (No.BK20191445 ), 2019.7-2022.6.

• The Modern Agricultural Machinery Equipment and Technology Extension Project of Jiangsu Province : "Research and application of intelligent breeding and harvesting technology and equipment for laver” (No.NJ2024-06), 2024.8-2026.8.

• Natural Science Foundation of Jiangsu Province, China: “Research on the key technology of knowledge co-evolutionary reduction based on cloud computing for large-scale electronic medical records” (No.BK20151274), 2015.7-2017.6.

• Natural Science Key Foundation of Jiangsu Education Department, China：“Research on multi-granularity knowledge discovery method and its key technologies of integrated optimization for multi-mode Big Data”  (No.21KJA510004) 2021.9-2024.8.

• Outstanding Talent Project of Six Peaks of Jiangsu Province, China: “The coordinated mining cloud system of electronic medical record under the big datasets” (No.XYDXXJS-048), 2016.9-2018.8.

Awards

• The top 2% Ranking of Scientists in the World by Stanford University (2020-2023)

• IEEE Outstanding Associate Editor of IEEE/CAA Journal of Automatica Sinica (2023)

• Natural Science Outstanding Academic Paper Award (First Class), Nantong City, China (2023)

• Jiangsu Natural Science Research Achievement Award (First-Class) (2021)

• Middle-aged and Young Academic Leaders (Qing Lan Project), Jiangsu Province, China (2019) 

• Outstanding Associate Editor for IEEE Access (2018)

• Outstanding Talent (Six Talent Peaks), Jiangsu Province, China  (2016)

• Jiangsu Education Teaching and Research Achievement Award (Natural Science Research Category) (Third-Class) (2018) 

• Best Paper Award of International Conference on Data Mining and Applications (ICDMA’15), HongKong (2015)

• Outstanding Young Backbone Teacher (Qing Lan Project), Jiangsu Province, China (2014) 

• Science and Technology Progress Award (Second Class), Nantong City  Government, China (2018) 

• Medical Science and Technology Award, Jiangsu Province, China (2017) 

• Natural Science Outstanding Academic Paper Award (First Class), Nantong City, China (2017) 

• Excellent Paper Award (First-Prize) of Computer Education by the National Committee of Computer Education, China (2009)

• Science and Technology Advancement Award (Second-Class ), Nantong City Government, China (2013)

• Excellent Paper Award , Nanjing City Government, China (2013)

• Excellent Paper Award, Nantong City Government, China (2016)

• Annual Teaching Excellence Awards of Nantong University, China (2012)

• Excellent Worker, Jiangsu Province Computer Federation, China (2009)

• Best Innovation Good Youth, Nantong university, China (2014)

• Excellent education workers, Nantong university, China (2012)

• Gold-Bridge Project Staff Award, Nantong University, China (2007)