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Weiping Ding
Ph.D., Professor, SMIEEE
Associate Editor: TNNLS, TFS, TITS, JAS, TETCI, TIV, TAI, INF, INS, ASOC, Neurocomputing, et al
Deputy Dean of School of Information Science and Technology
Nantong University, China
Email: dwp9988@163.com ; ding.wp@ntu.edu.cn; dwp9988@gmail.com
Address: No.9 Seyuan Road, Nantong, Jiangsu, China
Personal Webpage: https://sites.google.com/view/weipingding http://www.scholat.com/wpding
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 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 Information Science and Technology, Nantong University, Nantong, China,and also the supervisor of Master and 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 250 research peer-reviewed journal and conference papers in this field, including over 100 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 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 Cognitive and Developmental Systems, etc, and he He has co-authored two books. He has holds 28 approved invention patents, including two U.S. patents and one Australian patent. His FIFTEEN 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 (2020-2023).
Dr. Ding is vigorously involved in editorial activities. He serves/served on the Editorial Advisory Board of Knowledge-Based Systems (Elsevier) and Editorial Board 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 both Journal of Artificial Intelligence and Systems and Journal of Artificial Intelligence Advances.
News
Call for paper: Special Issue on “Recent Advances in Adversarial Machine Learning in Intelligent Systems” for Information Fusion from 2023 to 2024
Call for paper: Special Issue on “Knowledge enhanced data analytics based on three-way decision and granular computing” for Applied Soft Computing from 2023 to 2024
Call for paper: Special Issue on “Artificial intelligence for biometrics-based applications” for Engineering Applications of Artificial Intelligence from 2023 to 2024
Call for paper: Special Issue on “Graph Machine Learning” for Pattern Recognition from 2022 to 2023
Call for paper: Special Issue on “Recent Advances in Fuzzy Deep Learning for Uncertain Medicine Data” for Information Sciences from 2022 to 2023
Call for paper: Special Issue on “Transfer Learning” for Neural Processing Letters from 2021 to 2022
Call for paper: Special Issue on “Swarm intelligence for Unmanned Systems” for Swarm and Evolutionary Computation from 2021 to 2022
Call for paper: Special Section on “Developing Resilient Supply Chains in a Post-COVID Pandemic Era: Application of Artificial Intelligent Technologies for Emerging Industry 5.0” for IEEE Transactions on Industrial Informatics from 2021 to 2022
Call for paper: Special Issue on “Fuzzy Systems for Biomedical Science in Healthcare” for Applied Soft Computing from 2020 to 2021
Call for paper: Special Issue on “Multi-view Learning" for Applied Intelligence from 2021 to 2022
Call for paper: Special Issue on “Advance Machine Learning Fusion Approaches for COVID-19” for Information Fusion from 2020 to 2021
Call for paper: Special Issue on “Evolutionary Computation Meets Deep Learning” for IEEE Transactions on Evolutionary Computation from 2020 to 2021
Call for paper: Special Issue on “Pattern-Driven Mining, Analytics and Prediction for Decision Making” for ACM Transactions on Management Information Systems from 2020 to 2021
Call for paper: Special Session on "Feature Extraction and Learning on Image and Text Data" for International Joint Conference on Neural Networks (IJCNN 2021)
Call for paper: Special Issue on “Emerging Computational Intelligence Techniques for Decision Making with Big Data in Uncertain Environments” for IEEE Transactions on Emerging Topics in Computational Intelligence from 2019 to 2020.
Call for paper: Special Section on “Fuzzy Rough Sets for Big Data” for IEEE Transactions on Fuzzy Systems from 2018 to 2019.
Call for paper: Special Issue on “Evolutionary Data Mining for Big Data” for Swarm and Evolutionary Computation from 2018 to 2019.
Call for paper: Special Issue on “Current Trends of Granular Data Mining for Biomedical Data Analysis” for Information Sciences from 2018 to 2019.
Call for paper: pecial Section on “Data Mining and Granular Computing in Big Data and Knowledge Processing” for IEEE Access in 2018.
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
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.
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)