About Me

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I am an associate professor in the Department of AI Information Engineering at Gyeongsang National University. I completed my post-doctoral research under the supervision of Professor Insup Lee at the University of Pennsylvania.

In 2012, I obtained my Ph.D. from Korea University under the guidance of Professor Jin Young Choi. Before joining Gyeongsang National University, I had the great opportunity to work at the PRECISE Lab of the University of Pennsylvania, KAIST, Aalborg University, and INRIA/IRISA.

My previous advisors include Kim G. Larsen at Aalborg University, Axel Legay at INRIA, and Sungwon Kang at KAIST.

I am interested in software verification and validation, particularly in the verification of cyber-physical systems (CPS) using formal methods and model checking.

Recently, I have developed a deep interest in the safety of AI. Specifically, I aim to verify in a formal way the safety of CPS that directly impacts human lives, such as medical AI and autonomous driving, through various methods.

     

Biography

Degree

Degree Institution Year
Ph.D. in Computer Science Dept. of Computer Science, Korea University 2012
M.S. in Computer Science Dept. of Computer Science, Korea University 2001
B.S. in Computer Science Dept. of Computer Science Engineering, Hankook University of Foreign University 1999

Professional Experience

Institution Position Year
KAIST, Korea Post-doctoral Researcher 2011-2012
Aalborg University, Denmark Post-doctoral Researcher 2012-2014
INRIA/IRISA, France Researcher 2014-2015
University of Pennsylvania, US Post-doctoral Researcher 2015-2019
Gyeongsang National University Assistant Professor 2019-2023
Gyeongsang National University Associate Professor 2023-
LINC 3.0 AI.BigData ICC at Gyeongsang National University Head of Center 2023-
Autowarew Foundation Korea Chief of Secretary 2024-

Projects

Projects that i've been working on

Development of Mathematical Quantification Methods and Medical Treatment Prediction Models of Medical Diseases for Advancement of Medical Artificial Intelligence

의료 인공지능의 고도화를 위한 의료 질환의 수학적 정량화 방법 및 의학적 치료 예측 모델 개발

항목 내용
연구목표 의료 질병의 수학적 정량화 모델을 통해 의료 데이터의 정확성 향상 및 의료 인공지능 고도화, 질병 및 치료 효과 예측 인공지능 개발.
핵심 내용 1. 안과 질병: 안저 및 OCT 이미지를 활용한 시력 측정 기술과 황반부망막전막의 정량화 및 치료 예측 모델 개발.
2. 병리과 질병: PD-L1의 정량화 모델 개발로 암 치료 방향을 정확하게 예측.
3. 정형외과 질병: MediaPipe와 OpenPose를 통한 근골격 질환의 정량화 방법 및 치료 예측 모델 개발.
연구성과물 임상의의 이미지 기반 질병 판단의 정밀도와 정확도를 높여 의료 인공지능 개발을 위한 정밀한 데이터를 제공.
인공지능의 데이터 정확성을 향상시켜 보다 정확한 의료 판단 가능.
다양한 이미지 기반 질병 검사에 대한 정량적 판단과 기술을 제공하여 임상에서의 정확한 치료 방향 제시.
사업구분 이공분야기초연구사업 > 중견연구자지원사업 > (유형1-1) 중견연구
주관연구기관 경상국립대학교
주관연구책임자 성명: 김진현
총연구기간 2023-03-01 ~ 2027-02-28
과제번호 2023R1A2C1006639
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We would love to hear from you! Whether you have questions, need further information about our research, or want to collaborate with us, please feel free to get in touch.

Address:

Room 803, Marine Science Building,
Gyeongsang National University,
2 Tongyeonghaean-ro, Tongyeong-si,
Gyeongsangnam-do, South Korea

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