About me

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
  • Information-based Target Localization and Tracking with Wireless Sensor Networks

Publications

  • 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, 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”, accepted by IEEE ITSC 2025.
  • 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”, accepted by SAE WCX 2026.
  • 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.
  • K. Tang, S. Xu, and K. C. Ho, “A Unified Group-Theoretic Tight-Frame Approach for Optimal Sensor Placement in 3D Hybrid AOA-RSS-TOA Localization”, to be submitted to IEEE TSP.

Teaching Assistant

  • CIVENG 2A03 - Surveying and Management 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
  • TRB 2026
  • IEEE IV 2026