l Overview
ØEducation
2008.09-2012.06, School of Economics and Management, Beijing Jiaotong University, Bachelor of Management
2012.09-2019.04, School of Economics and Management, Beijing Jiaotong University, Doctor of Management
2016.12-2017.06, Faculty of Mechanical Engineering, University of Maribor，Visiting Researcher
ØWorking Experiences
2019.07-2020.04, Business School, Beijing Technology and Business University, lecturer
2020.04-2023.10, School of E-business and Logistics, Beijing Technology and Business University, lecturer
2020.11- Present, Business School, Beijing Technology and Business University, lecturer
l Research Interests
Complex system decision optimization; Complex system modeling and simulation; Swarm intelligence algorithm
l Courses
Øundergraduate
Intelligent Logistics Management; International Logistics Management; Customer Relationship Management; Project Management; etc.
Øpostgraduate
Intelligent Logistics
lPublications
ØSelected Academic Articles
[1] Li X, Zhang H. A multi-agent complex network algorithm for multi-objective optimization[J/OL]. Applied Intelligence, 2020, 50(9): 2690–2717. http://link.springer.com/10.1007/s10489-020-01666-8. DOI: 10.1007/s10489-020-01666-8.
[2] Kang L, Liu S, Zhang H, et al. Person anomaly detection-based videos surveillance system in urban integrated pipe gallery[J]. Building Research & Information, 2021, 49(1): 55-68.
[3] LI Xueyan, ZHANG Hankun. Differential fare strategy of high speed rail network based on multi-mode competition and cooperation. Systems Engineering, 2021, 39(03): 90-101.
[4] Zhang H, Buchmeister B, Li X, et al. Advanced Metaheuristic Method for Decision-Making in a Dynamic Job Shop Scheduling Environment[J]. Mathematics, 2021, 9(8): 909.
[5] LI Xueyan, ZHANG Hankun, LI Jing and QIU Heting. Optimization model of urban public transport ticket fare based on deep reinforcement learning. Journal of Industrial Engineering / Engineering Management, 2022, 36 (06): 144-155. DOI:10.13587/j.cnki.jieem.2022.06.012.
[6] Ojstersek R, Zhang H, Buchmeister B. The Importance of Employees’ Knowledge in Sustainable, Green Manufacturing: Numerical Modeling Approach[J]. Sustainability, 2022, 14(3): 1344.
[7] Li X, Qiu H, Yang Y, Zhang H. Differentiated fares depend on bus line and time for urban public transport network based on travelers’ day-to-day group behavior[J]. Physica A: Statistical Mechanics and its Applications, 2022, 593: 126883.
[8] Zhang H, Buchmeister B, Li X, et al. An Efficient Metaheuristic Algorithm for Job Shop Scheduling in a Dynamic Environment[J]. Mathematics, 2023, 11(10): 2336.
[9] LI Xue-yan, LI Hai-yang and ZHANG Han-kun*. Dynamic Optimization of Time-dependent Differential Fare for Urban Public Transport Network Considering Emission Reduction. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(5): 12-23.
ØFund Projects
[1]Beijing Social Science Foundation, 21GLC044, Research on medical emergency support of large-scale events under the background of normalization of epidemic prevention, 2021.10-2024.06, in research, preside.
[2]General Project of Social Science Program of Beijing Municipal Education Commission, SM202210011003, Research on dynamic resource scheduling optimization of medical emergency support for home health intelligent monitoring, 2022.01-2024.12, in research, preside.