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 Year 2022 to Year 2025.
Research works during her study period:
1. Chia-Hung Wang*, Yingping Zeng, and Jinchen Yuan (2024),
Two-stage stock portfolio optimization based on AI-powered price prediction and
mean-CVaR models, Expert Systems with Applications, Vol. 255, 124555,
DOI: https://doi.org/10.1016/j.eswa.2024.124555. (ISSN 0957-4174) (Indexed by SCI, Q1)
2. Chia-Hung Wang*, Jinchen Yuan, Yingping Zeng, and Shengming Lin (2024),
A deep learning integrated framework for predicting stock index price and fluctuation
via singular spectrum analysis and particle swarm optimization,
Applied Intelligence, vol. 54, no. 8, pp. 1770-1797,
https://doi.org/10.1007/s10489-024-05271-x. (Indexed by SCI, Q2)
3. Trong-The Nguyen*, Yingping Zeng, Chia-Hung Wang**, Jinchen Yuan, Thi-Kien Dao (2025),
A Solution to the Job Shop Scheduling Problem based on an Enhanced Slime Mould Algorithm.
International Journal of Computing Science and Mathematics, Vol. 21, No. 4, pp. 289-302,
DOI: 10.1504/IJCSM.2025.148202. https://www.inderscience.com/info/inarticle.php?artid=148202
(ISSN 1752-5063) (Indexed by EI, ESCI)
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