Scholar

Weiping Ding (AE of TNNLS, TFS, TITS, JAS, TETCI, TIV, TAI, INFFUS, INS, ASOC, NEUCOM, EAAI,et al)

Google Scholar ID: PokEd2kAAAAJ

Nantong University(Stanford’s World's Top 2% Researcher,Full Professor, Ph.D, IEEE Senior Member)

Granular Data MiningDeep Neural NetworksMachine Learning for Human-Centred ComputingBig Data

Citations & Impact

All-time

Citations

17,903

H-index

i10-index

327

Publications

Co-authors

list available

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Publications

20 items

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Resume (English only)

Academic Achievements

Published over 400 peer-reviewed journal and conference papers, including more than 210 IEEE Transactions papers such as IEEE Transactions on Fuzzy Systems, etc. Holds 46 approved invention patents, including three U.S. patents and one Australian patent. 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). Received Excellent-Young Teacher (Qing Lan Project) of Jiangsu Province in 2014, High-Level Talent (Six Talent Peak) of Jiangsu Province in 2016, Middle-aged and Young Academic Leaders (Qing Lan Project) of Jiangsu Province in 2019. Awarded Best Paper of ICDMA'15. Recipient of the Medical Science and Technology Award (Second Prize) of Jiangsu Province, China, in 2017, and the Education Teaching and Research Achievements.

Research Experience

Was a Post-Doctoral Fellow / Research Fellow / Visiting Scholar at the Department of Electrical and Computer Engineering, University of Alberta (UA), Canada in 2014; Brain Research Center, National Chiao Tung University (NCTU), Taiwan, from 2014 to 2015; Hong Kong Polytechnic University (HKPU) in 2015; Department of Electrical and Computer Engineering, National University of Singapore (NUS) in 2016; Computational Intelligence and Brain Computer Interface (CIBCI) Center, CAI, University of Technology Sydney (UTS), Australia from 2017 to 2018. Currently, the Chair of IEEE CIS Task Force on Granular Data Mining for Big Data. Member of Senior IEEE, IEEE-CIS, ACM, CCAI, and Senior CCF. Member of Technical Committee on Soft Computing of IEEE SMCS, Evolving Intelligent Systems of IEEE SMCS, Granular Computing of IEEE SMCS, and Data Mining and Big Data Analytics of IEEE CIS.

Education

Received the Ph.D. degree in Computer Science from Nanjing University of Aeronautics and Astronautics (NUAA), China, in 2013. Was a Visiting Scholar at University of Lethbridge, Alberta, Canada, in 2011.

Background

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.

Miscellany