👋 About Me

Greetings! I am a Ph.D. candidate at UWaterloo, supervised by Amir Khajepour and Freda Shi. My research interests include large language models in autonomous driving, time-series prediction. If you are interested in my research, would like to collaborate, or have any questions, please feel free to reach out to me via email at s95huang@uwaterloo.ca.

My current research highlights the following perspectives:

  • Large Language Models in Autonomous Driving
    • More human-like, interpretable Decision-making
    • Safe Driving in dynamic environments considering social norms and interaction
  • Learning-based Algorithms in Autonomous Driving
    • Trajectory/motion prediction
    • End-to-end learning for planning
  • Energy Systems (including vehicle)
    • Time Series Forecasting
    • Offline Optimization and online management

Prior to Phd studies, I completed my M.A.Sc. in Mechanical and Mechatronics Engineering at UWaterloo and worked at Almon equipment Ltd. and LoopX Innovation Inc.

I have 4 years of work experience in ADAS systems and autonomous driving software development across passenger vehicles, heavy-duty trucks, and mining vehicles. I participated in the WATonoBus project at MVS Lab working on software and algorithmic development of decision-making module required for Canada’s first autonomous shuttle bus approved via the ministry’s autonomous vehicle pilot.

Recent News

  • 2024.09: 🎉 I have joined CompLING Lab, co-supervised by Prof. Freda Shi
  • 2024.08: 🎉 I have completed my comprehensive exam.
  • 2024.07: 📣 2 papers accepted to IEEE ITSC 2024, see you in Edmonton,ON, Canada.
  • 2024.01: 📣 WATonoBus Project gets reported in MathWorks
  • 2023.05: 🎉 I have started my Ph.D. at MVSL lab, supervised by Prof. Amir Khajepour.

📝 Publications

You can find my publication profiles on Google Scholar.

‡: corresponding author

*: first author

Journal Papers

  • T. Huang, R. Fu, Q. Sun, Z. Deng, S. Huang, and L. Jin, “Toward human-vehicle collaboration for automated vehicles: A review and perspective,” IEEE Transactions on Intelligent Transportation Systems, 2024.

  • W. Ye, M. S. Herdem, S. Huang, W. Sun, J. Liu, J. Nathwani, and J. Z. Wen, “Component capacity optimization of a renewable energy system using data-driven two-stage algorithmic approach,” Energy Conversion and Management, vol. 312, p. 118 588, 2024.

  • Y. Cui, S. Huang*, J. Zhong, Z. Liu, Y. Wang, C. Sun, B. Li, X. Wang, and A. Khajepour, “Drivellm: Charting the path toward full autonomous driving with large language models,” IEEE Transactions on Intelligent Vehicles, 2023.

  • S. Huang and A. Khajepour, “A new adiabatic compressed air energy storage system based on a novel compression strategy,” Energy, vol. 242, p. 122 883, 2022.

Conference Papers

  • Y.Yang*, M. Ning, S. Huang, E. Hashemi, A. Khajepourr, “Intelligent mobility system- integrated planning and control for indoor settings,” IEEE Intelligent Transportation Systems Conference (ITSC), 2024.

  • M. Ning, Y. Cui, Y. Yang, S. Huang, Z. Liu, A. R. Alghooneh, E. Hashemi, and A. Khajepour, “Multi-modal perception for intelligent indoor mobility,” IEEE Intelligent Transportation Systems Conference (ITSC), 2024.

Other

  • Wei Zhu, Yue Ying, Yikai Chen, Shucheng Huang, et al. Real-time traffic sign detection network based on Swin Transformer, 2023.

Patent

  • C. Yu, H. Zheng, J. Zhang, C. Yaodong, S. Huang, J. Zhong, and A. Khajepour, Systems and methods for estimating a state for positioning autonomous vehicles transitioning between different environments, US Patent App. 18/600,238, Sep. 2024.

Submitted:

  • IEEE TIV (Sep 2024)

  • IEEE T-ITS (Jan 2025, Aug 2024, May 2024)

🎖 Honors and Awards

  • 2023-2024, University of Waterloo Graduate Scholarship
  • 2018-2020, University of Waterloo Graduate Scholarship

📖 Educations

  • 2023.05 - Present, Ph.D. in Mechanical and Mechatronics Engineering, University of Waterloo

  • 2018 - 2020, M.A.Sc. in Mechanical and Mechatronics Engineering, University of Waterloo

  • 2014 - 2018, B.Sc. in Mechanical Engineering, Penn State University

💬 Invited Talks

  • 2024.12, Advancing perception sotif through multi-modal large language models, Tsinghua University, China

💻 Work Experience

  • 2020.01 - 2024.03, LoopX Innovation Inc., Waterloo, ON, Canada. (My startup)
    • 2020.01- 2022.11, Unpaid Part-time
    • 2022.12 - 2024.03, Full-time
  • 2020.11 - 2022.11, Almon Equipment Ltd, Toronto, ON, Canada.

📚 Teaching Experience

  • Spring 2019, Teaching Assistant, Robot Manipulators
  • Fall 2019, Teaching Assistant, Fluid Power Control Systems

📝 Professional Service

  Details
Journal review Accident Analysis and Prevention (AAP)
  Engineering Applications of Artificial Intelligence (EAAI)
  IEEE Transactions on Intelligent Transportation Systems (TITS)
  IEEE Transactions on Vehicular Technology (TVT)
  IEEE Transactions on Instrumentation and Measurement (TIM)
  International Journal of Mining Science and Technology (IJMST)
Conference/Workshop Refereeing  
  IEEE Intelligent Transportation Systems Conference (ITSC), 2024
  NeurIPS 2024 Workshop on Safe Generative AI (SafeGenAI)

📊 Skills

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