Welcome to the Task Force:Granular Data Mining for Big Data!

Task Force:

Granular Data Mining for Big Data

  • Organization
  • List of Technical Activities
  • Target and Motivation
  • Mission and Topics
  • Task Force Committee
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  • Contact

Contact

Weiping Ding

Ph. D, Professor, SMIEEE

Deputy Dean of School of Information Science and Technology, Nantong University, China

Email: dwp9988@163.com; ding.wp@ntu.edu.cn

Address: No.9 Seyuan Road, Nantong, Jiangsu, China.

Tel: +86-513-85012624

ORCID: 0000-0002-3180-7347


Weiping Ding (M’16-SM’19) received the Ph.D. degree in Computation Application, 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. From 2014 to 2015, He is a Postdoctoral Researcher at the Brain Research Center, National Chiao Tung University (NCTU), Hsinchu, Taiwan. In 2016, He was a Visiting Scholar at National University of Singapore (NUS), Singapore. From 2017 to 2018, he was a Visiting Professor at University of Technology Sydney (UTS), Ultimo, NSW, Australia. 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 Granular Computing of IEEE SMCS, and on Data Mining and Big Data Analytics of IEEE CIS. He is currently a Full Professor with the School of Information Science and Technology, Nantong University, Nantong, China. His main research directions involve data mining, granular computing, evolutionary computing, machine learning and big data analytics. He has published more than 80 research peer-reviewed journal and conference papers in this field, including IEEE T-FS, T-NNLS, T-CYB, T-SMCS, T-BME, T-II, T-ETCI and T-ITS, etc, and he has held 15 approved invention patents. His three co-authored papers have been selected as ESI Highly Cited Papers. 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 (Third Prize) of Jiangsu Province, China, in 2018. 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.

Dr. Ding currently serves on the Editorial Advisory Board of Knowledge-Based Systems and Editorial Board of Information Fusion, Applied Soft Computing. He serves/served as an Associate Editor of IEEE Transactions on Fuzzy Systems, Information Sciences, Swarm and Evolutionary Computation, 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, and so on. He has delivered more than 15 keynote speeches at international conferences and has co-chaired several international conferences and workshops in the area of data mining, fuzzy decision-making, and knowledge engineering.


(Last update date : 1 September 2020)