👋 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.

📝 Publications

You can find my publication profiles on Google Scholar.

‡: corresponding author

*: first author

Journal Papers

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

Yufeng Yang, Minghao Ning, Shucheng Huang^‡, Ehsan Hashemi, Amir Khajepour. Intelligent Mobility System with Integrated Motion Planning and Control Utilizing Infrastructure Sensor Nodes. IEEE Intelligent Transportation Systems Conference (ITSC), 2024.
Minghao Ning, Yaodong Cui, Yufeng Yang, Shucheng Huang, Zhenan Liu, Alghooneh Ahmad, Ehsan Hashemi, Amir Khajepour. Enhancing Indoor Mobility with Connected Sensor Nodes: A Real-Time, Delay-Aware Cooperative Perception Approach. 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
Chao Yu, Haomin Zheng, Jinwei Zhang, Yaodong Cui, Shucheng Huang, Jiaming Zhong, Amir 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 IoT (Jun. 2024)
IEEE T-ITS (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

💻 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

Review Activities

	Details
Journal	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
	IEEE Intelligent Transportation Systems Conference (ITSC), 2024
	NeurIPS 2024 Workshop on Safe Generative AI (SafeGenAI)

📷/🚴‍♂️ Fun Facts –>

I enjoy taking picutres with DSLR cameras, including standard U Waterloo portraits (like mine), and graduation photos
I am really into biking. I have a road bike and a mountain bike. I also have a bike trainer at home. –>

Shucheng (Bruce) Huang