CLAV

Computation Lab for Advanced Vehicles

“All next-generation vehicles begin with rigorous physical modeling.”

The Computation Lab for Advanced Vehicles (CLAV) is led by Prof. Sangyup Lee in the Department of Mechanical Engineering at The University of Suwon.

Our group investigates multi-scale, multi-phase, and multi-physics dynamics, system control, and AI-driven vision sensing. By integrating high-fidelity computational simulations with physical intelligence, we develop innovative mechanical solutions for intelligent railway networks, autonomous automotive systems, and advanced aerospace propulsion under extreme operating environments.

Research Pillars

01 · Automotive Systems

Continuum Mechanics & Vehicle Dynamics

Finite Element Modeling (FEM) & Structural Optimization
Vehicle Dynamics and Chassis Control
Advanced Driver Assistance Systems (ADAS) Integration

02 · Railway Engineering

Dynamics, Contact Mechanics & Robotics

Wheel-Rail Interface & Contact Stress Modeling
High-Speed & Urban Tram Multibody Dynamics Simulation
Railway Maintenance System (RMS) Robotics & Inspection

03 · Physical-AI & Smart Sensing

Vision-Guided Anomaly Detection & Autonomy

AI Camera-Based Smart Sensors for Physical AI
Multi-Modal Perception and Robotic Trajectory Planning
Real-Time Structural Health Monitoring

04 · Advanced Algorithms & Propulsion

Extreme Dynamics, UQ & Multiphysics

Shock-to-Detonation Transition (SDT) & Energetic Materials
Ramjet & Rocket Propulsion Hydrodynamics
Surrogate Modeling, Optimization & Uncertainty Quantification (UQ)

Lab Members

Principal Investigator

Sangyup Lee, Ph.D.
Assistant Professor
Department of Mechanical Engineering, The University of Suwon
Email: slee@suwon.ac.kr

Students

Graduate Students: John Doe
Undergraduate Researchers: Jane Doe

(Prospective graduate and undergraduate researchers interested in vehicle dynamics, AI vision, and computational mechanics are always welcome to apply.)

Research Facilities & Resources

Our laboratory maintains dedicated computational clusters, real-time sensing hardware, and experimental platforms to conduct high-performance simulations and physical-AI validation:

High-Performance Computing (HPC):
- Multi-CPU High-Performance Computing Cluster
- Multi-GPU Deep Learning Workstations
- Multiple dedicated HPC Tower Nodes
Physical-AI & Robotic Sensing:
- Multi-DOF Robotic Arm & Mobile Robot Base Platforms
- Industrial Machine Vision Cameras, 2D/3D LiDAR, and Laser Profilers
- High-Precision Data Acquisition (DAQ) Systems, Accelerometers, and Acoustic Noise Sensors
Engineering Simulation Software:
- SIMPACK Multibody Simulation Suite
- Commercial & In-House Finite Element & CFD Solvers

Contact

We welcome academic collaborations, joint research projects, and inquiries from prospective students.

Office: Room 204, Engineering Building 4, The University of Suwon
Address: 17 Wauan-gil, Bongdam-eup, Hwaseong-si, Gyeonggi-do, 18323, Republic of Korea
Phone: +82-31-220-2427
Email: slee@suwon.ac.kr

selected publications

Preprint

Robotic Vision-based Tram Wheel Surface Defect Detection with Profile-Guided Multi-View Anomaly Detection

Sangyup Lee, Jin Choi, Naeun Lee, and 2 more authors

SSRN Electronic Journal, 2026

DOI Bib

@article{lee2026robotic,
  title = {Robotic Vision-based Tram Wheel Surface Defect Detection with Profile-Guided Multi-View Anomaly Detection},
  author = {Lee, Sangyup and Choi, Jin and Lee, Naeun and Kim, Hyeonbin and Hyeon, Janghun},
  journal = {SSRN Electronic Journal},
  year = {2026},
  doi = {10.2139/ssrn.7052241},
  url = {https://doi.org/10.2139/ssrn.7052241},
}

Proc. IMechE F

Development and evaluation of an optimized wheel design for tram-train wear and derailment performance

Sangyup Lee, Kyoungjoon Choi, Sungwon Park, and 2 more authors

Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2026

DOI Bib

@article{lee2026development,
  title = {Development and evaluation of an optimized wheel design for tram-train wear and derailment performance},
  author = {Lee, Sangyup and Choi, Kyoungjoon and Park, Sungwon and Lee, Suhyung and Kwak, Jaeho},
  journal = {Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit},
  year = {2026},
  doi = {10.1177/09544097251389247},
}

VSD

Parametric optimisation of tramway wheel profiles using surrogate modelling and multibody simulation

Jaeho Kwak and Sangyup Lee

Vehicle System Dynamics, 2025

DOI Bib

@article{kwak2025parametric,
  title = {Parametric optimisation of tramway wheel profiles using surrogate modelling and multibody simulation},
  author = {Kwak, Jaeho and Lee, Sangyup},
  journal = {Vehicle System Dynamics},
  volume = {63},
  year = {2025},
  doi = {10.1080/00423114.2025.2558915},
}

IEEE Access

Real-Time Vision-Based Wheel-Rail Interface Monitoring for Tramway Running Performance

Sangyup Lee, Jin Choi, Naeun Kim, and 1 more author

IEEE Access, 2025

DOI Bib

@article{lee2025realtime,
  title = {Real-Time Vision-Based Wheel-Rail Interface Monitoring for Tramway Running Performance},
  author = {Lee, Sangyup and Choi, Jin and Kim, Naeun and Hyeon, Janghun},
  journal = {IEEE Access},
  volume = {13},
  pages = {120040--120055},
  year = {2025},
  doi = {10.1109/ACCESS.2025.3585740},
}