Guo Weikang

Email: guowk@swufe.edu.cn

Personal Profile

Guo Weikang is a teacher at the School of Management Science and Engineering, Southwestern University of Finance and Economics, a PhD student at Ghent University, Belgium, and a member of the OR&S research team at Ghent University. During her teaching and research work at Ghent University and KTH Royal Institute of Technology, Sweden, she has collaborated with experts from many world-renowned universities and research institutions in Belgium, Sweden, the United Kingdom, Germany, the Netherlands, etc., and has accumulated rich experience in academic and research projects.

Research Field

Machine Learning, Operations Research, Intelligent Decision Making, Optimization, Project Scheduling, Etc.

Academic Post

She serves as a special reviewer for international SCI academic journals such as European Journal of Operational Research (EJOR), Expert Systems with Applications (ESWA), Automation in Construction, Engineering Applications of Artificial Intelligence (EAAI), Applied Soft Computing (ASC), International Journal of Production Research (IJPR), Computers & Operations Research (COR), Computers & Industrial Engineering (CIE), and Annals of Operations Research (AOR).

Lecturing Courses

Big Data Foundation, Machine Learning, Data Mining, Operations Research, Project Management, Operating System, High Performance Computing, Computer Foundation, Database Principles, Etc.

Some Research Achievements

Books

Weikang Guo. " Automatic detection of appropriate solution methods for the resource-constrained project scheduling problem via machine learning". Ghent University Press, 2023.

Journal Articles

Weikang Guo, Mario Vanhoucke, & José Coelho. “Learning to predict the best performing solution methods to solve single-project and multi-project scheduling problems”. Information Sciences (Impact factor: 8.2, JCR Zone 1, CAS SCI Zone 1, Top Journal in Computer Science), under review, 2024.

Weikang Guo, Mario Vanhoucke, & José Coelho. “Comparison of problem transformation-based methods in detecting the best performing branch-and-bound procedures”. Expert Systems with Applications (Impact factor: 8.7, JCR Zone 1, Chinese Academy of Sciences SCI Zone 1, Top Journal in Computer Science), under revision (5th round), 2023.

Weikang Guo, Mario Vanhoucke, & José Coelho. “A prediction model for ranking branch-and-bound procedures for the resource-constrained project scheduling problem”. European Journal of Operational Research (Impact factor: 6.4, JCR Zone 1, CAS SCI Zone 2, Operational Research, Management Science Top Journal), 306(2) 579-595, 2023.

Weikang Guo, Mario Vanhoucke, José Coelho, & Jingyu Luo. “Automatic detection of the best performing priority rule for the resource-constrained project scheduling problem”, Expert Systems with Applications (Impact factor: 8.7, JCR Zone 1, CAS SCI Zone 1, Top Journal in Computer Science), 198, 116753, 2021.

Jingyu Luo, Mario Vanhoucke, José Coelho, & Weikang Guo. “An efficient genetic programming approach to design priority rules for resource-constrained project scheduling problem”. Expert Systems with Applications (Impact factor: 8.7, JCR Zone 1, CAS SCI Zone 1, Top Journal in Computer Science), 167, 114116, 2022.

International Conferences

Weikang Guo, Mario Vanhoucke, & José Coelho. “Performance comparison of machine learning models in detecting the best-performing methods for the resource-constrained single- and multi-project scheduling problem”, Presented at the 33rd European Conference on Operational Research (EURO 2024), Copenhagen, Denmark, 30th June - 3rd July, 2024.

Weikang Guo, Mario Vanhoucke, & José Coelho. " Comparative study of two machine learning tasks in project scheduling", Presented at the 18th International Workshop on Project Management and Scheduling (PMS2022), Ghent, Belgium, April 6- 7, 2022.

Weikang Guo, Mario Vanhoucke, & José Coelho. “A comparative study of machine learning methods to detect the best performing component for the resource-constrained project scheduling problem”, Presented at the INFORMS Annual Meeting 2021, Anaheim, California, USA, October 24 - 27, 2021.

Weikang Guo, Mario Vanhoucke, & José Coelho. “Ranking components of the branch-and-bound procedure for the resource-constrained project scheduling problem via machine learning”, Presented at the 31st European Conference on Operational Research (EURO2021), Athens, Greece, July 11-14, 2021.

Weikang Guo, Mario Vanhoucke, José Coelho, & Jingyu Luo. “Automatic detection of the best performance priority rule for resource-constrained project scheduling problem”, Presented at the 30th European Conference on Operational Research (EURO2019), Dublin, Ireland, June 23 - 26, 2019.

Weikang Guo, Junhao Wen, Fengji Luo, & Yu Zheng. “Peak Load Reduction by Thermostatically Controlled Load Dispatch with Thermal Comfort Model”, the 10th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2015), Hongkong, China, 8-12 November 2015.

Research Projects

National Natural Science Foundation of China, General Project, " Research on social service recommendation based on heterogeneous spatial information networks in mobile environments", 2017-2020, RMB 620,000, Completed, Core Researcher.

European Horizon Project, Research and Innovation Project, "Adaptive Optimization from Cloud and HPC to Edge and IoT based on Artificial Intelligence ", 2023-2024, 5 627 250,00 (EUR), Core Researcher.