Education
Ph.D. (Industrial Engineering), Texas A&M University, 2020.
B.S. (Mathematics and Applied Mathematics), Fudan University, 2015.
Working Experiences
Oct, 2020-Oct, 2022: Postdoctoral researcher, The Chinese University of Hong Kong, Shenzhen
Courses Taught
Machine learning, Innovation project practice
Research Interests
Stochastic processes, Queueing networks, machine learning, scheduling
Representative Research Projects
1. “Queueing modeling and optimization research of customers' overlaps in service systems”, National Natural Science Foundation of China, 2024.01-2026.12, principal investigator.
2. “Modeling and optimization of information freshness in general queueing systems”, Hubei Provincial Natural Science Foundation, 2023.7-2025.6, principal investigator.
3. “Queueing topology design on the overlaps of customers”, Fundamental Research Funds for the Central Universities, 2023.7-2025.7, principal investigator.
4. “Queueing analysis for information freshness”, China Postdoctoral Science Foundation, 2021.11-2022.10, principal investigator.
5. “Fresh information acquisition in multi-agent systems”, Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), 2021.4-2022.4, principal investigator.
Representative Research Papers
1. Xu, J., Wang, W., Gao, Z.*, Luo, H., Wu, Q. “A novel Markov model for near-term railway delay prediction.” Computers & Industrial Engineering 181 (2023): 109302.
2. Xu, J., Wu, X., Huang, Q.* and Sun, P., “How should the server sleep? – Age-energy tradeoff in sleep-wake server systems,” IEEE Transactions on Green Communications and Networking, 7:4 (2023):1620-1634.
3. Xu, J.*, Hou, I., Gautam, N. “Age of Information for Single Buffer Systems with Vacation Server”, IEEE Transactions on Network Science and Engineering, 9:3 (2022): 1198-1214.
4. Xu, J., Gautam, N.* “Peak age of information in priority queuing systems”, IEEE Transactions on Information Theory, 67:1 (2021): 373-390.
5. Xu, J.*, Chen, Y. “Information Freshness in Sleep-wake Server Systems”, IEEE Communications Letters, 25:7 (2021): 2186 - 2190.
6. Kong, M., Xu, J.*, Zhang, T.*, Lu, S*., Fang, C., Mladenovic, N. “Energy-efficient rescheduling with time-of-use energy cost: Application of variable neighborhood search algorithm”, Computers & Industrial Engineering, 156 (2021): 107286.
7. Xu, J.*, Gautam, N. “On Competitive Analysis for Polling Systems”, Naval Research Logistics, 67:6 (2020): 404–419.
8. Xu, J., Tran, H., Gautam, N.*, Bukkapatnam, S. “Joint Production and Maintenance Operations in Smart Custom-Manufacturing Systems”, IISE Transactions, 51:4 (2019): 406-421.
Representative Grants and Awards
1. INFORMS Telecommunications and Network Analytics Section, Best Paper Finalist, 2022
2. INFORMS Railway Problem Solving Competition, Third Prize, 2018
