Academic/Professional Qualifications 

Ph.D., Management Science and Engineering, Beihang University, Shanghai, China. 2015-2019

Joint Ph.D., Mathematics, The University of Western Australia, Perth, Australia. 2017-2018

Master, Mathematics, Taiyuan University of Technology, Taiyuan, China. 2012-2015

Career History:

2019.08 -- present, Lecturer, Business School，University of Shanghai for Science and Technology 

Scientific Research projects

2019-2022, The effect of people’s mobility between cities on diseases spreading, Starting fund for doctoral research, 20,000 yuan.

Teaching Research projects

2020-2021, Research on the Integration of Ideological and Political Education and Online Courses - an Example of Management Science, Teacher Training Program of Shanghai Municipal Education Commission, 40,000 yuan

Recent Papers:

Wang H, Du Z, Moore J M, et al. Causal networks reveal the response of Chinese stocks to modern crises[J]. Information Sciences, 2022.

Wang H, Moore J M, Small M, et al. Epidemic dynamics on higher-dimensional small world networks[J]. Applied Mathematics and Computation, 2022, 421: 126911.

Weng T, Wang H, Yang H, et al. Representing complex networks without connectivity via spectrum series[J]. Information Sciences, 2021, 563: 16-22.

Wang H, Moore J M, Wang J, et al. The distinct roles of initial transmission and retransmission in the persistence of knowledge in complex networks[J]. Applied Mathematics and Computation, 2021, 392: 125730.

Wang H, Wang J, Small M, et al. Review mechanism promotes knowledge transmission in complex networks[J]. Applied Mathematics and Computation, 2019, 340: 113-125.

Wang H, Wang J, Small M. Knowledge transmission model with differing initial transmission and retransmission process[J]. Physica A: Statistical Mechanics and its Applications, 2018, 507: 478-488.

Wang H, Wang J, Ding L, et al. Knowledge transmission model with consideration of self-learning mechanism in complex networks[J]. Applied Mathematics and Computation, 2017, 304: 83-92.

Conference Papers: 

Wang, H. and Wang, J., 2017, April. Knowledge transfer in homogeneous networks with consideration of self-learning mechanism. In 2017 3rd international conference on information management (icim) (pp. 149-153). IEEE.

Wei, W., Wang, J., Wang, H., 2019, March. Method for Detecting Nodes Influence Who Occupy Structural Holes in Temporal Network. In 2019 5th International Conference on Information Management (ICIM) (pp. 113-117). IEEE.

Undergraduate Students: Operations Research A, Introduction to Systems Engineering

Graduate Students: Nonlinear Science, Nonlinear Mathematics

Reviewer for Physica A, Chaos and other journals