STAFF PROFILE
Professor Steven Li
Professor Steven Li joined the Graduate school of Business and Law (GSBL), RMIT University in April 2012 as Professor of Finance.
Steven has previously taught at a few universities in Australia and China including University of South Australia, Queensland University of Technology and Tsinghua University. He has extensive teaching experience in many finance subjects on both undergraduate and postgraduate levels. He currently lectures on Financial Management for E-MBA students and Managerial Finance for the MBA students.
Steven’s research interests include financial market efficiency, asset pricing, corporate finance, derivatives and financial engineering, Chinese financial markets, and environmental finance. He has published over 80 academic papers. He has been a visiting scholar to Central South University, Sichuan University, University of Electronic Science and Technology of China (UESTC), Bank of Japan, Sun Yat-san University, Hokkaido University, and University of Wollongong.
Steven is active in applying his finance knowledge and mathematical/statistical modelling skills for solving real world business problems. He has some significant consulting experience including the work for News Corporation, Bank of Japan, NCCARF (National Climate Change and Adaptation Research Facility) and Department of Climate Change and Energy Efficiency (DCCEE) of the Commonwealth Government of Australia.
Professor Li has successfully supervised many PhD students and Master by research/Honours students. He is currently recruiting new PhD students to do research on a wide range of finance subjects.
Teaching areas:
- Managerial Finance
- Corporate Finance
- Investments
- Derivatives and Financial Engineering
- Financial Modelling
Research interests:
- Quantitative Finance
- Corporate Finance
- Asset pricing, in particular Derivatives Pricing
- Efficiency of Financial Markets
- Investments
- Environmental finance
- Ph.D, Delft University of Technology (The Netherlands)
- Master of Business Administration (Finance), University of Melbourne (Australia)
- Bachelor of Science, Tsinghua University (Beijing, China)
- Lu, Y.,Liang, S.,Ouyang, H.,Li, S.,Wang, G. (2023). Hybrid multi-group stochastic cooperative particle swarm optimization algorithm and its application to the photovoltaic parameter identification problem In: Energy Reports, 9, 4654 - 4681
- Ouyang, H.,Chen, J.,Li, S.,Xiang, J.,Zhan, Z. (2023). Altruistic population algorithm: A metaheuristic search algorithm for solving multimodal multi-objective optimization problems In: Mathematics and Computers in Simulation, 210, 296 - 319
- Lu, J.,Chen, Z.,Liao, X.,Chen, C.,Ouyang, H.,Li, S. (2023). Multi-objective optimization for improving machining benefit based on WOA-BBPN and a Deep Double Q-Network In: Applied Soft Computing, 142, 1 - 14
- Ouyang, H.,Liu, K.,Zhang, C.,Li, S.,Gao, L. (2023). Large-scale mobile users deployment optimization based on a two-stage hybrid global HS-DE algorithm in multi-UAV-enabled mobile edge computing In: Engineering Applications of Artificial Intelligence, 124, 1 - 18
- Wang, J.,Ouyang, H.,Zhang, C.,Li, S.,Xiang, J. (2023). A novel intelligent global harmony search algorithm based on improved search stability strategy In: Scientific Reports, 13, 1 - 29
- Liu, D.,Ouyang, H.,Li, S.,Zhang, C.,Zhan, Z. (2023). Hyperparameters optimization of convolutional neural network based on local autonomous competition harmony search algorithm In: Journal of Computational Design and Engineering, 10, 1280 - 1297
- He, C.,Huang, W.,Ouyang, H.,Li, S.,Xiang, J. (2023). Virus control optimizer based on the prevention and control mechanism of COVID-19 for engineering optimization problems In: Applied Soft Computing, 147, 1 - 22
- Liu, K.,Ouyang, H.,Li, S.,Gao, L. (2022). A Hybrid Harmony Search Algorithm with Distribution Estimation for Solving the 0-1 Knapsack Problem In: Mathematical Problems in Engineering, 2022, 1 - 29
- Zou, D.,Li, S.,Xuan, K.,Ouyang, H. (2022). A NSGA-II variant for the dynamic economic emission dispatch considering plug-in electric vehicles In: Computers and Industrial Engineering, 173, 1 - 22
- Fan, M.,Chen, J.,Xie, Z.,Ouyang, H.,Li, S.,Gao, L. (2022). Improved multi-objective differential evolution algorithm based on a decomposition strategy for multi-objective optimization problems In: Scientific Reports, 12, 1 - 14
2 PhD Current Supervisions and 1 Masters by Research Current Supervisions3 PhD Completions