Staff Profile

Biography

Dr. Wang Xinyu received his B.Eng. degree in Electronic Science and Technology from Zhejiang University in 2016, and his M.Sc. degree in Electronic Information Engineering and Ph.D. degree in Electrical Engineering from City University of Hong Kong in 2018 and 2023, respectively. His research focuses on path planning and system design for key infrastructures (i.e., submarine communication cables), network optimization, and resource allocation within telecommunication networks.

Teaching Areas & Research Interests

• Submarine Communication Cable Path Planning
• Network Optimization
• Resource Allocation
• Parallel Processing
• Smart Cities

Academic & Professional Experience

Projects

• Principal Investigator, HKSTP Incubation Programme, HK$1,290,000, "Towards a Smarter, Connected World: Automatic, Intelligent and Reliable Critical Infrastructures",  Apr. 2024 - Apr. 2027
• Principal Investigator, HKSTP Ideation Programme, HK$100,000, "Software Development for Intelligent and Cost-Effective Submarine Cable Routing",  Aug. 2022 - Aug. 2023
• Principal Investigator, CityU HK Tech 300 Seed Fund, HK$100,000, "Automatic and Optimized Submarine Cable Path Planning and System Design Aiming for Cost Effectiveness and Resilience",  Aug. 2022 - Aug. 2023

Selected Publications

Journal Articles

• F. Chen, X. Wang*, C. Guo, and M. Zukerman, "From Queueing Performance Evaluation to Policy Guidance: A New Modeling Framework for Escalator Systems", Transportation Research Interdisciplinary Perspectives, vol 38, 102073, July 2026.
• T. Wang, X. Wang, B. Moran, Z. Wang, and M. Zukerman "Data Resolution and Future Challenges in Automated Undersea Cable System Design", IEEE Network, vol. 39, no. 4, pp. 321-328, July 2025.
• T. Wang, Z. Wang, B. Moran, X. Wang*, and M. Zukerman, "Evaluating and Refining Undersea Cable Path Planning Algorithms: A Comparative Study", PLOS One, vol. 19, no.12, December 2024.
• J. Fu, X. Wang, Z. Wang, and M. Zukerman, "A Restless Bandit Model for Energy-Efficient Job Assignments in Server Farms", IEEE Transactions on Automatic Control, vol. 69, no. 9, pp. 5820-5835, September 2024.
• X. Wang, Z. Wang, and M. Zukerman, "Application of Adaptive Parallel Fast Marching Method in Automatic Submarine Cable Path Planning", IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 9498-9514, 2024.
• X. Wang, B. Lyu, C. Guo, J. Xu, and M. Zukerman, "A Base Station Sleeping Strategy in Heterogeneous Cellular Networks Based on User Traffic Prediction", IEEE Transactions on Green Communications and Networking, vol. 8, no. 1, pp. 134-149, March 2023.
• T. Wang, Z. Wang, B. Moran, X. Wang, C. Guo, and M. Zukerman, "Latency-Aware Optimization of Submarine Communication Cable Systems with Trunk-and-Branch Topologies", Journal of Lightwave Technology, vol. 40, no. 17, pp. 5825-5841, September 2022.
• X. Wang, Z. Wang, T. Wang, and M. Zukerman, "Designing Cost-Effective and Reliable Submarine Communications Cable Path: Lessons from the Tonga Volcano Disaster", IEEE Communications Magazine, vol. 61, no. 7, pp. 179-185, July 2022.
• C. Guo, X. Wang*, G. Shen, S. Bose, J. Xu, and M. Zukerman, "Exploring the Benefits of Resource Disaggregation for Service Reliability in Data Centers", IEEE Transactions on Cloud Computing, vol. 11, no. 2, pp. 1651-1666, February 2022.
• X. Wang, Z. Wang, E. Tahchi, and M. Zukerman, "Submarine Cable Path Planning Based on Weight Selection of Design Considerations", IEEE Access, vol. 9, pp. 123847-123860, September 2021.
• T. Wang, X. Wang, Z. Wang, C. Guo, B. Moran, and M. Zukerman, "Optimal Tree Topology for a Submarine Cable Network with Constrained Internodal Latency," Journal of Lightwave Technology vol. 39, no. 9, pp. 2673-2683, May 2021.
• Q. Wang, J. Guo, Z. Wang, E. Tahchi, X. Wang, B. Moran, and M. Zukerman, "Cost-Effective Path Planning for Submarine Cable Network Extension," IEEE Access, vol. 7, no. 1, pp. 61883-61895, May 2019.

Further Information

Link to Google Scholar page

Modified Date: 24 Jun, 2026
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