RESEARCH FIELD

Scientific decision-making and management optimization, data science-driven modeling and analysis, cluster intelligent computing and machine learning, and their applications in logistics, energy, medical care, social management and other fields.

EDUCATION BACKGROUND

Doctor           Arizona State University (year 2012 to year 2014)

Doctor           Harbin Institute of Technology (year 2011 to year 2014)

Master        Shenzhen university (year 2006 to year 2009)

Bachelor      Shenzhen university (year 2002 to year 2006)

TEACHING

1. Courses

Optimization Calculations and Tools, Advanced Operations Research (Graduate)

E-commerce and Information Management, Dialectics of Nature (MBA)

Management Information System, Technical Economics, Production and Operation Management, E-commerce, Operation Management, Optimization Theory and Machine Learning, Data-driven Decision Modeling and Optimization, etc. (Undergraduate)

2. Awards

Outstanding Undergraduate Teacher Award of Shenzhen University, 2019.3

The 8th Young Teachers' Lecture Competition of Shenzhen University, 2018

Shenzhen University's 2018 100 Outstanding Undergraduate Thesis (Design) Instructors, 2018.6

The 8th Young Teachers Lecture Competition of Shenzhen University, College of Management Division, First Prize, 2018

2017 Course Like Award of College of Management, Shenzhen University, Top 3 of College of Management, 2017

PRACTICE

1. Working Experiences

2018-2019 Co-chaired, Research Report on the Development Status of Qianhai-Shekou Free Trade Zone "Serving the Mainland, Facing the World"

2016-2018 Hosted by the National Natural Science Foundation of China Youth Program

2015.1-Now Distinguished researcher, College of Management, Shenzhen University

2. Visiting Experiences

2015-2015 Postdoctoral fellow, Arizona State University

2015-2015 China and the United States jointly train doctorates

RESEARCH

1. Publications

1.1 Peer Reviewed International Journal Publications

Chu, Xianghua, Cai, Fulin, Gao, Da, Li, Li, Cui, Jianshuang, Xu, Su Xiu, Qin, Quande. An artificial bee colony algorithm with adaptive heterogeneous competition for global optimization problems, Applied Soft Computing, 2020, 08, 93: 106391.

Chu, Xianghua, Shao, Saijun, Xu, SuXiu, and Kang, Kai. Data-driven ferry network design with candidate service arcs: The case of Zhuhai Islands in China, Maritime Policy & Management, 2020, 04, 47: 598-614.

Chu, Xianghua, Gao, Da, Chen, Jiansheng, Cui, Jianshuang, Cui, Can, Xu, SuXiu, Qin, and Quande. Adaptive differential search algorithm with multi-strategies for global optimization problems, Neural Computing and Applications, 2019, 10, 31(12): 8423-8440.

Chu, Xianghua, Gao, Da, Cheng, Shi, Wu, Lang, Chen, Jiansheng, Shi, Yuhui, and Qin, Quande. Worker assignment with learning-forgetting effect in cellular manufacturing system using adaptive memetic differential search algorithm, Computers & Industrial Engineering, 2019, 10, 136: 381-396.

Chu, Xianghua, Cai, Fulin, Cui,Can, Hu, Mengqi, Qin, Quande, and Li, Li. Adaptive recommendation model using meta-learning for population-based algorithms, Information Sciences, 2019, 01, 476:192-210.

Chu, Xianghua, Chen, Jiansheng, Cai, Fulin, Li, Li, and Qin, Quande. Adaptive Brainstorm Optimisation with Multiple Strategies, Memetic Computing, 2018, 12, 10(4): 383-396.

Wu, Lang, Cai, Fulin, Li, Li, and Chu, Xianghua. Cross-trained worker assignment problem in cellular manufacturing system using swarm intelligence meta-heuristics, Mathematical Problems in Engineering, 2018, 2018,11: 4302062.

Qin, Quande, Cheng, Shi, Chu, Xianghua, Lei, Xiujuan, and Shi, Yuhui. Solving non-convex/non-smooth economic load dispatch problems via an enhanced particle swarm optimization, Applied Soft Computing, 2017, 10, 59: 229-242.

1.2 Peer-reviewed Academic/ Professional Meeting Proceedings

Chu, Xianghua “Meta-feature Extraction for Multi-objective Optimization Problems,” NCAA 2021, Guangzhou, China, Aug.20-23, 2021

Li, Li, Cai, Fulin, Chen, Jiansheng, and Chu, Xianghua, “Recommending PSO variants using meta-learning framework for global optimization”, The 11th International Conference on Simulated Evolution and Learning, SEAL 2017, Southern University of Science and Technology, China, Nov. 10-13, 2017.

2. Honors

"Liyuan Excellent Youth" of Shenzhen University, with a subsidy of 150,000 yuan per year, 2016 to present.

Tencent "Rhinocero Bird"-Shenzhen University Young Teachers Research Fund Project Award, 50,000, 2017.

Advanced Individual of Shenzhen University, 2019.