I am a PhD candidate in Transportation Engineering at the McMaster University, supervised by Dr. Hao Yang. I earned my master’s degree in Robotics from Department of Mechanical and Energy Engineering, Southern University of Science and Technology (SUSTech), advised by Prof. Yongsheng Ma. I also work closely with Prof. Hongfei Xue from University of North Carolina at Charlotte and Prof. Sheng Xu from Chinese Academy of Sciences.

Email: tangk41@mcmaster.ca

Research Interests

• Shared Mobility, Demand Prediction, Rebalancing, Charging Optimization
• Wireless Sensing, Rendering-based Simulation, Machine Learning
• Statistical Signal Processing, Source Localization

Education

• PhD. in Transportation Engineering, 2025-2028
  • McMaster University, Hamilton, ON, Cnanada
• M.E. in Robotics Engineering, 2024
  • Southern University of Science and Technology, Shenzhen, China
• B.E. in Mechanical Engineering
  • Southern University of Science and Technology, Shenzhen, China

Current Projects

• Data-driven Prediction for On-demand Dynamic Shared Autonomous Vehicles Systems
  • Supervisor: Prof. Hao Yang
  • McMaster University
• Towards Generalized mmWave-based Human Mesh Reconstruction Via Signal Ray Tracing
  • Supervisor: Prof. Hongfei Xue
  • University of North Carolina at Charlotte
• Information-based Target Localization and Tracking with Wireless Sensor Networks
  • Supervisor: Prof. Sheng Xu
  • Chinese Academy of Sciences

Publications

• K. Tang, H. Abdulsattar, H. Yang and J. Wang, “Energy and Operational Efficiency of Shared Autonomous fleet Powered with Battery Electric and Internal Combustion Engine Technologies”, SAE Technical Paper 2026-01-0464, 2026.
• K. Tang, H. Abdulsattar, H. Yang and J. Wang, “Comparative Evaluation of Battery Electric and Internal Combustion Vehicles in On-Demand Shared-Ride Services: Energy and Operational Efficiency,” 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), Gold Coast, Australia, 2025, pp. 4626-4632, doi: 10.1109/ITSC60802.2025.11423101.
• K. Tang, S. Xu, Y. Yang, H. Kong and Y. Ma, “Optimal Sensor Placement Using Combinations of Hybrid Measurements for Source Localization,” 2024 IEEE Radar Conference (RadarConf24), Denver, CO, USA, 2024, pp. 1-6, doi: 10.1109/RadarConf2458775.2024.10548509.
• K. Tang, X. Li, S. Xu, K. C. Ho, H. Kong and K. Dogancay, “Optimal Sensor Placement Using Decentralized TDOA Sensor Systems in Target Localization”, submitted to IEEE Trans.

Teaching Assistant

• CIVENG 2A03 - Surveying and Measurement for Transportation, Fall 2025, McMaster University
• MEE 5201 - Innovation Design Theory and Application, Fall 2021, Southern University of Science and Technology

Awards

• Excellent Graduate. Southern University of Science and Technology (2024).
• Second prize. China Undergraduate Mathematical Contest in Modeling (2017, 2018).

Reviewer

• IEEE ITSC 2025/2026
• TRB 2026
• IEEE IV 2026