Education & Career Highlights

• 2026.03 - Current: Assistant Professor, Department of Computer Science @ Incheon National University 

• 2023.02 - 2026.02 : Principal Research Engineer, Hyundai Mobis (현대모비스), Cybersecurity Technology Management Team 

•  2019.08 - 2023.02 : Ph.D. (Combined program) Computer Science, Sungkyunkwan University, Suwon-si, South Korea (Transfered from SUNY Korea)

• 2017.02 - 2019.08 : Ph.D. Computer Science, State University of New York - Korea, Yeonsu-gu, Incheon, South Korea 

• 2016.01- 2017.03 : Staff,  Ssangyong Information & Communication Corp. (쌍용정보통신), Seoul, Korea

• 2010.03 - 2016.02 : B.S. Computer Software, Kwangwoon University, Seoul, Korea 

I am an AI researcher with expertise in machine learning and deep learning, particularly focused on data feature analysis for security applications. My research spans a variety of areas, including anomaly detection using multivariate time-series data, deepfake detection, encryption and key management systems, and media forensics. I have applied these concepts to real-world projects, such as satellite data analysis, intrusion detection in vehicle Controller Area Networks, and deepfake video detection, where I developed deep learning models tailored to each problem.

Prior to joining academia, I worked at Hyundai Mobis, where I played a key role in developing an automatic vulnerability monitoring service that integrates internal and external data through Retrieval-Augmented Generation (RAG) and large language models (LLMs). This initiative enabled the automation of vulnerability detection and prioritization, significantly reducing response times in security operations.

At Incheon National University, I lead research on AI-based security and data analysis, focusing on multivariate and multimodal data modeling, anomaly detection, and trustworthy AI systems. My goal is to develop scalable and reliable AI technologies that address real-world security challenges while fostering strong collaboration between academia and industry.

Research Interests

• A.I. / Machine Learning / Deep Learning / Big Data

• Data & A.I.-based Time-series Analysis

  • Anomaly Detection

  • Forecasting

  • Representation learning

  • Adversarial examples

• Fake Image Detection / Media Forensics

• Key Management System / Cryptography

Work Experience

🏢 Principal Research Engineer(책임연구원): Hyundai Mobis, Yongin, Korea

• • February 2023 - Current

  • Cybersecurity Management Team

    • Development of AI-based process automation solutions for security-related functions within the Cybersecurity Management Team

      • Focus on the integration of Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) technologies to automate and optimize security processes and utilize internal data

    • Design and develop Key Management Systems (KMS) and servers to ensure secure handling of cryptographic keys and sensitive data

    • Contribute to enhancing cybersecurity capabilities through AI-driven approaches, improving both efficiency and security for enterprise platforms

🏢 Staff(사원): Ssangyong Information & Communication Corp. (SICC), Seoul, Korea

• • January 2016 - March 2017

  • KT 차세대 BSS 2단계 프로젝트 참여 

    • Participated in the KT Next-Generation BSS (Business Support Systems) Phase 2 project, developing scalable, high-performance systems for the telecom industry

    • Developed service-oriented programming middleware solutions to support the evolving needs of telecom service providers

    • Worked as a front-end developer to enhance user interfaces, improving the user experience for telecom service providers and end customers

🏢 Intern: Baxter IP Patent & Trade Mark Attorneys, Sydney, Australia

• • July 2015- August 2015 (Internship)

  • Web developer

    • Assisted in the development and maintenance of web applications for the firm's web page

    • Search Engine Optimization

    • Gained hands-on experience in web development