Alma Mater:National Chengchi University, Taiwan
Education Level:Postgraduate (Postdoctoral)
[MORE]1. Awardee of Excellent Young Role Models from Tainan County, Taiwan 2. Leading Scientists of the World 2009 3. Who's Who in the World 2013-2021 4. Who's Who in Science and Engineering 2016-2017 5. Who's Who in Asia 2017-2018 6. 福建省福州市台湾人才库成员 7. 中国海外杰青汇中华交流团(CSP)成员 8. 福建工程学院「本科优秀毕业设计(论文)指导教师奖」
Name of Research Group:Data Science and Operations Research
Description of Research Group: Prof. Wang is an expert in the fields of artificial intelligence, intelligent computing, operations research, queueing systems and data science. He has been involved in several collaborative projects with international professionals. We have achieved key technological achievements in the fields of "Artificial Intelligence in Data Analysis and Processing", "Intelligent Optimization Methods", and "Modeling and Simulation of Stochastic Systems". Those research works have already been published in over 100 refereed journals and conference proceedings, including 27 SCI/SSCI-indexed papers, 39 EI-indexed papers, 27 CPCI/ISTP-indexed papers. In addition, we have also applied for 17 China invention patents, and obtained 8 China invention patent authorizations and 1 Chinese Taiwan invention patent. In terms of academic services, Prof. Wang has served as a reviewer for over 80 SCI/EI indexed journals (with over 300 referee reports) in the fields of operations research, applied mathematics, computer science and engineering.
Team members Introduction:
Graduate student from 2022 to 2025.
Research works during his study period:
1. Haitao Liu, Chia-Hung Wang* (2025), SEAMS: A surrogate-assisted evolutionary algorithm
with metric-based dynamic strategy for expensive multi-objective optimization,
Expert Systems with Applications, Vol. 265, 126050,
https://doi.org/10.1016/j.eswa.2024.126050. (ISSN 0957-4174) (Indexed by SCI, Q1)
2. 刘海涛、王嘉宏，专利名称：「一种基于自适应粒子群算法的风电平抑方法」，
中国发明专利，专利申请号202411148052.3，申请日2024年8月21日，申请公布号CN119227722A，
申请公布日2024年12月31日。
3. Chia-Hung Wang*, Hongzhen Yan, Haitao Liu, Qigen Zhao, and Xiaojing Wu (2026),
An Adaptive PSO-Based Framework for Energy Storage Efficiency and Reliability Maximization
in Wind Power Grid Integration,
Journal of Industrial and Management Optimization, vol. 22, no. 4, pp. 1758-1788,
DOI: 10.3934/jimo.2026065.
https://www.aimspress.com/article/doi/10.3934/jimo.2026065 (ISSN 1553-166X) (Indexed by SCI, Q2)
Click:
The Last Update Time:..
