Educational Qualifications

2024                    
Ph.D., National University of Singapore

2020                    
M.Sc., Nanyang Technological University

2016                    
B.Eng., National University of Singapore

Academic and Professional Experience

2025 - Present      
Lecturer, School of Business, Singapore University of Social Sciences

2024 - 2025          
Assistant Professor, DigiPen Institute of Technology Singapore

2021 - 2023          
Lecturer, DigiPen Institute of Technology Singapore

 

Selected Publications

Journal Papers

  • Wang, Z.*, Ding, Q., Ding, D.*, Zhu, S., Ren, J., Wang, Y., & Tan, C. H. (2026). Reinforcement Learning-Guided NSGA-II Enhanced with Gray Relational Coefficient for Multi-Objective Optimization: Application to NASDAQ Portfolio Optimization. Mathematics, 14(2), 296. (Scopus Q1; SCImago Q2; SCIE Q1
  • Ding, D., Li, Y., Neo, P. L., Wang, Z.*, & Xia, C. (2025). Subjective-objective median-based importance technique (SOMIT) to aid multi-criteria renewable energy evaluation. Applied Energy, 402, 126872. (ABDC A; Scopus & SCImago Q1; SCIE Q1)
  • Wang, Y., Wang, Z., & Wu, Z.* (2025). Multi-objective optimal control of nonlinear processes using reinforcement learning with adaptive weighting. Computers & Chemical Engineering, 201, 109206. (Scopus & SCImago Q1; SCIE Q2)
  • Wang, Z., Baydaş, M.*, Stević, Ž.*, Özçil, A., Irfan, S. A., Wu, Z., & Rangaiah, G. P. (2023). Comparison of fuzzy and crisp decision matrices: An evaluation on PROBID and sPROBID multi-criteria decision-making methods. Demonstratio Mathematica, 56(1), 20230117. (Scopus Q1; SCImago Q2; SCIE Q1)
  • Park, M., Wang, Z., Li, L., & Wang, X.* (2023). Multi-objective building energy system optimization considering EV infrastructure. Applied Energy, 332, 120504. (ABDC A; Scopus & SCImago Q1; SCIE Q1)
  • Wang, Z., Tan, W. G. Y., Rangaiah, G. P.*, & Wu, Z.* (2023). Machine learning aided model predictive control with multi-objective optimization and multi-criteria decision making. Computers & Chemical Engineering, 179, 108414. (Scopus & SCImago Q1; SCIE Q2)
  • Wang, Z., Li, J., Rangaiah, G. P.*, & Wu, Z.* (2022). Machine learning aided multi-objective optimization and multi-criteria decision making: Framework and two applications in chemical engineering. Computers & Chemical Engineering, 165, 107945. (Scopus & SCImago Q1; SCIE Q2)
  • Wang, Z., Rangaiah, G. P.*, & Wang, X. (2021). Preference ranking on the basis of ideal-average distance method for multi-criteria decision-making. Industrial & Engineering Chemistry Research, 60(30), 11216-11230. (Scopus & SCImago Q1; SCIE Q2)
  • Wang, Z., & Rangaiah, G. P.* (2017). Application and analysis of methods for selecting an optimal solution from the Pareto-optimal front obtained by multiobjective optimization. Industrial & Engineering Chemistry Research, 56(2), 560-574. (Scopus & SCImago Q1; SCIE Q2)

* indicates corresponding author

 

Book Chapters

  • Wang, Z., Nabavi, S. R., & Rangaiah, G. P. (2023). Selected multi-criteria decision-making methods and their applications to product and system design. In Optimization Methods for Product and System Design (pp. 107-138). Singapore: Springer Nature Singapore.

 

Authored Books

  • Wang, Z., Irfan, S. A., Teoh, C., & Bhoyar, P. H. (2023). Numerical Machine Learning. Singapore: Bentham Science Publishers. ISBN: 9789815136982
  • Wang, Z., & Rangaiah, G. P. (2026). Multi-Criteria Decision-Making Principles, Methods and Programs. CRC Press (Taylor & Francis Group). ISBN: 9781032853635

More Information