Wei-Zhi Wu | mathemarical foundations of AI | Best Researcher Award

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Prof. Wei-Zhi Wu | mathemarical foundations of AI | Best Researcher Award

Professor at Zhejiang Ocean Univeristy, China

Wei-Zhi Wu, Ph.D., is a distinguished Professor of Mathematics at Zhejiang Ocean University in Zhoushan, China. With a prolific career in applied mathematics, Dr. Wu specializes in granular computing, data mining, and the mathematical foundations of artificial intelligence. He has contributed to over 200 articles in esteemed journals, as well as four key monographs. His expertise has earned him repeated recognition on Elsevier’s Most Cited Chinese Researchers list (2014-2023), as well as among the Top 100,000 Scientists globally, with a remarkable 2% percentile ranking in both career and annual categories. Dr. Wu also holds prominent editorial roles in various international academic journals.

Publication Profile

scholar

Education🎓

B.Sc. in Mathematics – Zhejiang Normal University, Jinhua, China, 1986 M.Sc. in Mathematics – East China Normal University, Shanghai, China, 1992 Ph.D. in Applied Mathematics – Xi’an Jiaotong University, Xi’an, China, 2002

Experience🖊️ 

Professor of Mathematics – School of Information Engineering, Zhejiang Ocean University, Zhoushan, Chin Extensive Publications – Authored 200+ articles and 4 monographs in mathematics, computing, and AI Editorial Board Membership – Serves on multiple prestigious international journals, contributing to mathematical and AI research dissemination Research Leader – Notable for pioneering efforts in granular computing, data mining, and AI foundations

Awards and Honors🏆

Most Cited Chinese Researchers – Featured in Elsevier’s list (2014-2023) mTop Global Scientist – Ranked in the Top 100,000 Scientists worldwide, with a career-long and single-year ranking in the top 2%  Prolific Author – Renowned for influential monographs and extensive publication record Editorial Distinction – Serves as an editorial board member for multiple top-tier international journals

Research Focus🌍

Granular Computing – Explores and applies granular structures in computational systems  Data Mining – Develops and advances data mining techniques for complex data analysis Mathematics of AI – Examines foundational mathematical principles underpinning artificial intelligence algorithms  Interdisciplinary Applications – Integrates applied mathematics into practical AI and computing solutions

Publication  Top Notes

  • 粗糙集理论与方法 (Rough Set Theory and Methods)
    Authors: 张文修, 吴伟志, 梁吉业, 李德玉
    Publisher: 科学出版社 (Science Press)
    Citations: 620*
    Year: 2001
  • Generalized Fuzzy Rough Sets
    Authors: W.Z. Wu, J.S. Mi, W.X. Zhang
    Journal: Information Sciences, Vol. 151, pp. 263-282
    Citations: 769
    Year: 2003
  • Constructive and Axiomatic Approaches of Fuzzy Approximation Operators
    Authors: W.Z. Wu, W.X. Zhang
    Journal: Information Sciences, Vol. 159(3), pp. 233-254
    Citations: 554
    Year: 2004
  • Approaches to Knowledge Reduction Based on Variable Precision Rough Set Model
    Authors: J.S. Mi, W.Z. Wu, W.X. Zhang
    Journal: Information Sciences, Vol. 159(3-4), pp. 255-272
    Citations: 525
    Year: 2004
  • Granular Computing and Knowledge Reduction in Formal Contexts
    Authors: W.Z. Wu, Y. Leung, J.S. Mi
    Journal: IEEE Transactions on Knowledge and Data Engineering, Vol. 21(10), pp. 1461-1474
    Citations: 432
    Year: 2009
  • Knowledge Acquisition in Incomplete Information Systems: A Rough Set Approach
    Authors: Y. Leung, W.Z. Wu, W.X. Zhang
    Journal: European Journal of Operational Research, Vol. 168(1), pp. 164-180
    Citations: 414
    Year: 2006
  • Neighborhood Operator Systems and Approximations
    Authors: W.Z. Wu, W.X. Zhang
    Journal: Information Sciences, Vol. 144(1), pp. 201-217
    Citations: 284
    Year: 2002
  • On Characterizations of (I, T)-Fuzzy Rough Approximation Operators
    Authors: W.Z. Wu, Y. Leung, J.S. Mi
    Journal: Fuzzy Sets and Systems, Vol. 154(1), pp. 76-102
    Citations: 279
    Year: 2005
  • Knowledge Reduction in Random Information Systems via Dempster–Shafer Theory of Evidence
    Authors: W.Z. Wu, M. Zhang, H.Z. Li, J.S. Mi
    Journal: Information Sciences, Vol. 174(3-4), pp. 143-164
    Citations: 267
    Year: 2005
  • A Rough Set Approach for the Discovery of Classification Rules in Interval-Valued Information Systems
    Authors: Y. Leung, M.M. Fischer, W.Z. Wu, J.S. Mi
    Journal: International Journal of Approximate Reasoning, Vol. 47(2), pp. 233-246
    Citations: 258
    Year: 2008

Conclusion

Dr. Wei-Zhi Wu is a highly accomplished researcher whose work demonstrates both depth and breadth across mathematics, data mining, and AI. His robust research profile, substantial publications, international recognition, and leadership roles affirm his suitability for the Best Researcher Award. Given his impactful contributions to foundational AI research, awarding him could encourage further advances in mathematical applications within AI and inspire other scholars in related fields.

Prof Dr. Ang Cao | theoretical catalysis | Best Researcher Award

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Prof Dr. Ang Cao | theoretical catalysis | Best Researcher Award

Prof Dr. Ang Cao, zhejiang university, china

Prof Dr. Ang Cao is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

 

Professional Profiles:

Google scholar

Education Background 🎓

Ph.D. in Chemical Engineering
09/2016 – 03/2018
Stanford University
Supervisor: Prof. Jens K. Nørskov

Industrial Catalysis
09/2012 – 07/2018
Tianjin University

Work Experiences 🧪

Researcher/Professor
03/2024 – Present
Zhejiang UniversityTenure-Track Researcher
07/2023 – 02/2024
Technical University of DenmarkPostdoctoral Researcher
03/2019 – 06/2023
Technical University of Denmark
Supervisor: Prof. Jens K. NørskovAssistant Researcher
07/2018 – 02/2019
Westlake University
Supervisor: Prof. Jianping Xiao

Highlights

Research interests in the theoretical description of surface, catalysts, and nanostructure.🔍 Focus on reaction mechanism understanding and catalyst design of CO/CO2/N2 reduction. Rich experience in preparing catalysts derived from layered double hydroxides (LDHs) and perovskite.💻 Proficient in DFT calculation, Machine Learning, and Spin Catalysis.

Skills 💻

Material Analysis Techniques: XRD, SEM, TEM, XPS, TPR, TPD, Raman, BET, FT-IR, TGA, Gas chromatography, etc.Software: Quantum Espresso, Gaussian, VASP, MS Office, Origin, AutoCAD, Photoshop, etc.Programming Language: Python

📖 Publications Top Note :

Synergy Effects on Sn-Cu Alloy Catalyst for Efficient CO2 Electroreduction to Formate with High Mass Activity

K Ye†, A Cao†, J Shao†, G Wang, R Si, N Ta, J Xiao, G Wang
Science Bulletin 65 (9), 711-719 163 2020

Monitoring Oxygen Production on Mass-Selected Iridium–Tantalum Oxide Electrocatalysts

YR Zheng, J Vernieres, Z Wang, K Zhang, D Hochfilzer, K Krempl, …
Nature Energy 7 (1), 55-64 128 2022

Elucidation of the Synergistic Effect of Dopants and Vacancies on Promoted Selectivity for CO2 Electroreduction to Formate

Z Li†, A Cao†, Q Zheng, Y Fu, T Wang, KT Arul, JL Chen, B Yang, NM Adli, …
Advanced Materials 33 (2), 2005113 116 2021

Relations between Surface Oxygen Vacancies and Activity of Methanol Formation from CO2 Hydrogenation Over In2O3 Surfaces

A Cao, Z Wang, H Li, JK Nørskov
ACS Catalysis 11 (3), 1780-1786 105 2021

Understanding Oxygen Vacancies in Disorder-Engineered Surface and Subsurface of CaTiO3 Nanosheets on Photocatalytic Hydrogen Evolution

J Cai, A Cao, J Huang, W Jin, J Zhang, Z Jiang, X Li
Applied Catalysis B: Environmental 267, 118378 105 2020

Selectivity of Synthesis Gas Conversion to C2+ Oxygenates on fcc(111) Transition-Metal Surfaces

J Schumann, AJ Medford, JS Yoo, ZJ Zhao, P Bothra, A Cao, F Studt, …
ACS Catalysis 8 (4), 3447-3453 86 2018

Copper/Alkaline Earth Metal Oxide Interfaces for Electrochemical CO2-to-Alcohol Conversion by Selective Hydrogenation

A Xu, SF Hung, A Cao†, Z Wang, N Karmodak, JE Huang, Y Yan, …
Nature Catalysis, 1-8 76 2022

Electrocatalytic Nitrate-to-Ammonia Conversion with ~100% Faradaic Efficiency via Single-Atom Alloying

J Cai†, Y Wei†, A Cao†, J Huang, Z Jiang, S Lu, SQ Zang
Applied Catalysis B: Environmental 316, 121683 76 2022

Mechanistic Insights into the Synthesis of Higher Alcohols from Syngas on CuCo Alloys

A Cao, J Schumann, T Wang, L Zhang, J Xiao, P Bothra, Y Liu, …
ACS Catalysis 8 (11), 10148-10155 74 2018

The Deactivation of Cu–Co Alloy Nanoparticles Supported on ZrO2 for Higher Alcohols Synthesis from Syngas

GL Liu, T Niu, A Cao, YX Geng, Y Zhang, Y Liu
Fuel 176, 1-10 66 2016

Nanoparticles of Cu–Co Alloy Derived from Layered Double Hydroxides and Their Catalytic Performance for Higher Alcohol Synthesis from Syngas

A Cao, G Liu, Y Yue, L Zhang, Y Liu
RSC Advances 5 (72), 58804-58812 64 2015

Growing Layered Double Hydroxides on CNTs and Their Catalytic Performance for Higher Alcohol Synthesis from Syngas

A Cao, G Liu, L Wang, J Liu, Y Yue, L Zhang, Y Liu
Journal of Materials Science 51, 5216-5231 62 2016

A Spin Promotion Effect in Catalytic Ammonia Synthesis

A Cao, VJ Bukas, V Shadravan, Z Wang, H Li, J Kibsgaard, I Chorkendorff, …
Nature Communications 13 (1), 2382 60 2022

Metal-Organic Frameworks Derived Anatase/Rutile Heterostructures with Enhanced Reaction Kinetics for Lithium and Sodium Storage

G Liu, L Xu, Y Li, D Guo, N Wu, C Yuan, A Qin, A Cao, X Liu
Chemical Engineering Journal 430, 132689 55 2022

Origins of the Instability of Nonprecious Hydrogen Evolution Reaction Catalysts at Open-Circuit Potential

Z Wang, YR Zheng, J Montoya, D Hochfilzer, A Cao, J Kibsgaard, …
ACS Energy Letters 6 (6), 2268-2274 55