Hansung University · Division of Computer Engineering

Intelligent Mobility and Cybersecurity Lab.

The IMCS Lab conducts pioneering research in intelligent mobility, physical AI and cybersecurity. Under the guidance of Prof. Seunghyun Park, we work on securing connected and autonomous vehicles — from in-vehicle intrusion detection and risk assessment methodology to EV charging authentication — and on physical AI that perceives, decides and knows when not to act, creating solutions that impact both academia and industry.

Research topics

Our work spans automotive cybersecurity technology and regulation, physical AI and intelligent mobility, and cybersecurity policy and technology.

Track 01

Automotive Security

  • Connected vehicle security
  • Threat Analysis and Risk Assessment (TARA)
  • In-vehicle security (CAN IDS, gateway, Ethernet firewalls)
  • Plug & Charge security (ISO 15118)
  • Automotive software update over-the-air (OTA)
  • Blockchain-based automotive security
  • Regulation and compliance (UN R155/R156, ISO/SAE 21434, SAE J3061, ISO 24089)

Track 02

Physical AI & Mobility

  • Capability-aware safe meta-decision for physical AI robotics (Try-Ask-Refuse)
  • Cross-domain perception
  • LLM/VLM-based multimodal decision systems
  • Multi-sensor fusion and adaptive point cloud processing
  • Trajectory planning for collision avoidance

Track 03

Cybersecurity Policy & Technology

  • Secure software development life cycle
  • Crisis management and incident response
  • Public cloud security
  • Web and mobile security inspection
  • ISO/IEC 27001

Latest news

All news
  • Ongoing
    Notice

    Join our research team — graduate positions open

    We are recruiting Master’s and Doctoral students for research on Automotive Software for Cybersecurity and Physical AI. We look forward to receiving your application and possibly welcoming you to our team at IMCS Lab.

  • Sep 2026
    Publication

    ASTRA published in IEEE Journal of Selected Areas in Sensors

    ASTRA: Adaptive spatio-temporal representation for action recognition via importance-guided motion learning is now available as Early Access in the IEEE Journal of Selected Areas in Sensors.

  • Aug 2026
    Grant

    Awarded the 2026 MSIT Basic Research Grant

    Our project, “Capability-Aware Safe Meta-Decision in Physical AI-Driven Robotics: A Try-Ask-Refuse Framework,” has been awarded the 2026 Basic Research Grant (Core Research: Basic Research Type A), funded by the MSIT and managed by the NRF. The project will run from September 2026 to August 2031, supported by a total of KRW 250 million over 5 years.

Recent publications

All publications

Contact

Lab

#500, A-Engineering Bldg., Hansung University, 116 Samseongyo-ro 16-gil, Seongbuk-gu, Seoul 02876, South Korea

Office

#329, Research Hall, Hansung University

Email

Prof. Seunghyun Park
sp@hansung.ac.kr