Students

Postdoctoral Researcher and Research Professor

  • Name
  • E-mail
  • Research Interests
  • Career

채민수 / Minsu Chae

minsuchae@korea.ac.kr

Machine learning, Prediction of disease, Time-series data, Cloud computing

1. B.S.  / Dept. of Computer Software and Engineering, Soonchunhyang University,  2014

2. M.S.  / Dept. of Computer Science, Soonchunhyang University, 2018

3. Ph.D.  / Dept. of Software Convergence, Soonchunhyang University, 2021

1. Journal / Machine Learning-Based Prediction Models of Acute Respiratory Failure in Patients with Acute Pesticide Poisoning, Mathematics, 2022

2. Journal / Machine learning-based cardiac arrest prediction for early warning system, Mathematics, 2022

3. Journal / Prediction of in-hospital cardiac arrest using shallow and deep learning, Diagnostics, 2021

4. Journal / Outdoor particulate matter correlation analysis and prediction based deep learning in the Korea, Electronics, 2020

5. Journal / A performance comparison of linux containers and virtual machines using Docker and KVM, Cluster Computing, 2019

6. Patent / Apparatus and method for smart air quality measurement using air pollution information and weather information, 10-1936081, 2019

1. ICT Challenge and Advanced Network of HRD, 2022 – 2026

2. Development of a deep learning based cardiac arrest prediction system in a cloud computing, 2021 – 2024

4. SCH Regional Customized Field Research Center, 2019 – 2021

5. A Study on Air Pollution Forecasting and Alarm Technology using High Performance Deep Learning based on Cloud Computing, 2017 – 2020

6. A Study of Adaptive VM Migration Technique for Reliability in Cloud Computing, 2016 – 2017

7. Research on Secure Internet of Things, 2016 – 2021

8. Development of WellTEC Coaching Service & Content for Wellness Life, 2016 – 2019

Doctoral Students

  • Name
  • E-mail
  • Research Interests
  • Career

김동옥 / Dong Ok Kim

dkim1214@korea.ac.kr

New drug, genome data

1. Bachelor / Animal Science, University of Maryland, 2015 – 2018

2. Master / Biomedical Science, Kyungpook National University, 2020 – 2022

3. Ph.D. / Intelligent Medical Data Laboratory, Korea University, 2023 – 현재

1. Master thesis / Inhibition of pyruvate dehydrogenase kinase-4 attenuates doxorubicin induced mitochondrial dysfunction in cardiomyocytes, Kyungpook National University, 2022

  • Name
  • E-mail
  • Research Interests
  • Career

이정민 / Jeung Min LEE

starleejeung@gmail.com

Statistical inference and Neural network models for medical big data, Deep learning in genomics

1. B.S. / Dept. of Computer Science and Engineering, Sunmoon University, 2017
2. Research Technician / Cell Culture, Daejeon University, 2017 – 2018
3. ESL / Student, Kaplan International English, Boston, 2018 – 2019
4. M.S. / Dept. of Computer and Electronics Convergence Engineering, Bio Big Data Convergence Major, Sunmoon University, 2022. 08
5. Ph.D. / Intelligent Medical Data Laboratory, Medical Informatics, Korea University, 2023 – 현재

1. Journal / Small CNN-RNN Model Study for Sequence Pattern Extraction in Protein Function Prediction Problems, Journal of The Korea Society of Computer and Information, 2022
2. Journal / Comparison of Deep Learning Models Using Protein Sequence Data, KIPS Transactions on Software and Data Engineering, 2022
3. Journal / Penicillin Binding Protein from Pediococcus acidilactici Isolated from Nuruk for Food Biopreservative, Iran J Public Health, 2018

  • Name
  • E-mail
  • Research Interests
  • Career

김병수/ Byeongsu Kim

aqudtn@gmail.com

Wearable technology, Life-log data, Public health

1. Bachelor / Department of Physical Therapy Catholic University of Pusan, 2015 – 2020

2. Master / Applied Neuro Dynamics Laboratory, Korea University, 2021 – 2022

3. Ph. D. / Intelligent Medical Data Laboratory, Korea University, 2023 – 현재

1. Patent registration / 종아리근육 신장 진동기구 (calf stretching vibrator), 2020
2. Journal / Healing Programs Using Marine Resources for Patients with Musculoskeletal Disorders : Based on Overseas Programs, Archives of Orthopedic and Sports Physical Therapy, 17(2) 71-87. (KCI)
3. Master thesis / 스마트워치 기반 맞춤형 신체활동을 위한 목표칼로리 제공모형 활용성 연구, Korea University, 2022

4. Journal / Effect of tDCS Combined With Physical Training on Physical Performance in a Healthy Population, Res Q Exerc Sport, 2023

1. 농림해양기반 스마트 헬스케어 기술개발 및 확산, 한국임업진흥원, 2021-2025

2. 건강등급화 모델 개발. 신한라이프 2021-2022

3. 인공지능 학습용 데이터 구축사업, 운동 처방 데이터. 한국지능정보사회진흥원. 2022

4. 온열 및 마사지 기구의 안전성 및 효용성 검증. 미건라이프. 2022

5. 신체활동 증진을 위한 웨어러블 기반 맞춤형 칼로리 산출식 개발, 고려대학교 2022-2023

  • Name
  • E-mail
  • Research Interests
  • Career

유선우/ Ryoo, Sun Woo

ryoosunwoo@kumc.or.kr

machine learning applications in clinical medicine

1. Bachelor / Medical, Korea University, 2011 – 2018

2. Intern / Korea University Ansan Hospital, 2018 – 2019

3. ETC / Public Health Doctor, 2019 – 2022

4. Master / Bio Informatics & Statistics, Korea National Open University, 2020 – 2022

5. ETC / internal medicine department, Korea University Anam Hospital, 2022 – 현재

6. Ph. D. / Intelligent Medical Data Laboratory, Korea University, 2023 – 현재

  • Name
  • E-mail
  • Research Interests
  • Career

박진현 / Jinhyun Park

pjhjin43@gmail.com

PHR(Personal Health Record) analysis, Life-log data analysis

1. B.A. / Physical Education, Dong-A University. 2018

2. M.S. / Exercise Physiology. Dong-A University, 2020

3. ETC / Digital Smart Busan Academy 1st, Pukyung National University, 2022

4. Ph.D. Student / Intelligent Medical Data Laboratory, Korea University, 2023 ~ 현재

1. Master’s Thesis / 저압·저산소 환경에서의 간헐적인 유산소 트레이닝이 산화-항산화 체계 균형에 미치는 영향

2. Conference / A Study of Social Anxiety Disorder Severity
Assessment Using Machine Learning on Voice and Physiological Indicators Observed During Virtual Reality Intervention, 대한의료정보학회, 2023

3. Conference / Prediction of Psychological Scale Assessments Score Severity from Voice and Physiological Data During Virtual Reality Therapy in People with Social Anxiety Disorder, ICICPE, 2023

1. ICT Challenge and Advanced Network of HRD, 2023 ~

2. 국민건강 스마트관리 연구개발사업, 2022 – 2023

  • Name
  • E-mail
  • Research Interests
  • Career

강경민 / Kyung Min Kang

rkdrudals82@gmail.com

Clinic Data Processing, Genome Data, Prediction of disease

1. Bachelor / Department of Biological Sciences, SungKyunKwan University, 2006

2. Master / Department of Biological Sciences, SungKyunKwan University, 2008

3. ETC / Molecular Genetics team, CHA Gangnam medical center, Professional 2008~2020

4. ETC / Center for genome Diagnostics, CHA biotech Inc., Senior Professional 2020~2024

5. Ph.D. / Intelligent Medical Data Laboratory, Korea University, 2024~현재

1. Journal / The association of stromal antigen 3 (STAG3) sequence variations with spermatogenic impairment in the male Korean population, 2020

2. Journal / Changes in Methylation Patterns of Tumor Suppressor Genes during Extended Human Embryonic Stem Cell Cultures. Stem Cells Int, 2021

3. Journal / Combined Model-Based Prediction for Non-Invasive Prenatal Screening. Int J Mol Sci. 2022

4. Journal / Inconsistency between non-invasive prenatal testing (NIPT) and conventional prenatal diagnosis due to confined placental and fetal mosaicism: Two case reports. Front Med (Lausanne). 2022

5. Journal / Cell-Free Fetal DNA Screening Analysis in Korean Pregnant Women: Six Years of Experience and a Retrospective Study of 9327 Patients Analyzed from 2017 to 2022. J Pers Med. 2023

6. Conference / A novel variant in kinesin family member 5A (KIF5A) causing late-onset hereditary spastics paraplegia type 10 (SPG). The European Society of Human Genetics. 2023

  • Name
  • E-mail
  • Research Interests
  • Career

조하현 / HaHyeon Cho

chh9316@naver.com

Machine Learning, Medical big data

1. Bachelor / Department of Health Administration, Soonchunhyang University, 2018

2. Master / Department of Health Administration, Soonchunhyang University, 2020

3. Company /Department of Cancer Control and Population Health, 2020-2021

4. ETC / Division of Digital Health, Digital Health Strategy, 2022-2023

5. Ph. D. / Intelligent Medical Data Laboratory, Korea University, 2024 – 현재

1. Journal / 청소년 위험행동과 흡연과의 상관성, 한국병원경영학회, 2019

2. Journal / 건강보험 본인일부부담률 적정성에 대한 대중의 인식, 보건행정학회지, 2020

3. Journal / Association between nutrition labelling awareness and the metabolic syndrome: results from the Korean National Health and Nutrition Examination Survey (KNHANES) 2016–2018, British Journal of Nutrition, 2021

4. Journal / Association between social support and postpartum depression, Scientific Reports, 2022

1. 산정특례제도 평가 및 개선방안 연구, 국민건강보험공단, 2018

2. 2018년 국민의료비분석(비급여부분), 한국의료지원재단, 2018

3. 전문병원 의료 질 지원금 평가 중장기 모형개발 연구, 건강보험심사평가원, 2018

4. 전문병원 의료질평가지표 개선방안 연구, 건강보험심사평가원, 2019

5. 국가암검진사업 도입 15년간의 정책 평가 및 발전방안 연구, 국립암센터, 2020-2021

6. 2022년 스마트병원 선도모델 개발 지원사업, 한국보건산업진흥원, 2022

7. 산업융합형 메타버스 플랫폼 실증사업, 정보통신산업진흥원, 2022-2023

Master Students

  • Name
  • E-mail
  • Research Interests
  • Career

정인용 / Inyong Jeong

5454dls@korea.ac.kr

Clinic Data Processing, Open Data Processing, Introduction of medical data, Smart City

1. Intern / Applied NeuroDynamics Laboratory, Korea University, 2016 – 2017

2. Intern / 정밀의학연구실, Seoul University, 2020 – 2021

3. Intern / Multimedia Information Laboratory, Korea University, 2021

4. Intern / Department of Safety and Disaster Prevention Technology, POSCO, 2021

5. ETC / Samsung Software Academy For Youth 7th, Samsung, 2022

6. Bachelor / Health and Environmental Science, Korea University, 2016 – 2022

7. Intern / Research, AItrics, 2022

8. Master / Intelligent Medical Data Laboratory, Korea University, 2022 – 2023

1. Bachelor thesis / 딥러닝 기반의 자연어 처리 비교: 혐오 표현 필터링 모델, Korea University, 2021

2. Conference / A Novel Method to Handle Medical Data with Missing Values: Based on Light Gradient Boost Model for In-Hospital Acute Kidney Injury, ICICPE, 2022

3. Conference / Development of Adoptable Prediction Model for in-hospital Acute Kidney Injury, KSN, 2023

4. Conference / Missing Indicator: Effectively Handling Missing Values in Medical Data, 대한의료정보학회, 2023

5. Journal / 멀티모달 기반 라이프로그 데이터 통합방법 제시 및 평가, KCC, 2023

6. Conference / Machine Learning-Based Prediction of Renal Function Recovery in Acute Kidney Injury Patients: A Multi-Institutional Approach, APAC, 2023

7. Conference / Improving Model Performance using Out-of-Distribution (OOD) Datasets with Similar Labels, 대한의료정보학회, 2023

8. Conference / Korean Smart Healthy City Platform Design: Integrating Big-Thick Data with Ethical Considerations, ICFICE, 2024

9. Journal / A Novel Method for Medical Predictive Models in Small Data Using Out-of-Distribution Data and Transfer Learning, MATHEMATICS, 2024

1. ICT Challenge and Advanced Network of HRD, 2022 – 2026

2. 국민건강 스마트관리 연구개발사업, 2022 – 2023

  • Name
  • E-mail
  • Research Interests
  • Career

김영민 / Yeongmin Kim

ming8387@korea.ac.kr

Time Series Data Processing, Deep Learning, Data Visualization

 1. Intern / Operating System Laboratory, Soonchunhyang University, 2020 – 2022
2. Intern / Intelligent Image Processing Laboratory, Soonchunhyang University, 2022 – 2022
3. Intern / Intelligent Medical Data Laboratory, Korea University, 2022
4. Bachelor / Department of Computer software Engineering, Soonchunhyang University, 2019 – 2023
5. Master / Intelligent Medical Data Laboratory, Korea University, 2023 – 현재

1. Journal / Machine Learning-Based Prediction Models of Acute Respiratory Failure in Patients with Acute Pesticide Poisoning, MATHEMATICS, 2022

2. Conference / Prediction of Respiratory Failure within 6 Hours of Acute Pesticide Poisoning Patients Based on Ensemble Tree, The Korean Society of Medical Informatics, 2022

3. Conference / A study on the accuracy analysis of prediction of respiratory failure in patients with pesticide poisoning based on deep learning, ICICPE, 2022

4. Journal / Lifelog Data Integration and Validation based on Multi-Modal, Korean Institute of Information Scientists and Engineers, 2023

5. Conference /Antibiotic Resistance Prediction Using Infectious Disease Data and Key Factors Analysis via SHAP,The Korean Society of Medical Informatics, 2023

6. Journal / A Novel Method for Medical Predictive Models in Small Data Using Out-of-Distribution Data and Transfer Learning, MATHEMATICS, 2024

1. ICT Challenge and Advanced Network of HRD, 2022 – 2026

2. 국민건강 스마트관리 연구개발사업, 2022 – 2023

  • Name
  • E-mail
  • Research Interests
  • Career

손상현 / SangHyun Shon

sonatus@hotmail.com

developing Medical XAI

1. Bachelor / Department of Biological Sciences, Sungkyunkwan University, 2022

2. Intern / Intelligent Medical Data Laboratory, Korea University, 2022

3. Master / Intelligent Medical Data Laboratory, Korea University, 2023 – 현재

1. Conference / A Study on the Diagnosis of Breast Cancer Using the Soft Voting Classifier, ICICPE, 2022

 1. ICT Challenge and Advanced Network of HRD, 2022 – 2026

  • Name
  • E-mail
  • Research Interests
  • Career

공석진 / Seokjin Kong

seok5259@korea.ac.kr

Deep Learning, Prediction of disease

1. Bachelor / School of Biomedical Engineering, Korea University, 2021

2. Intern / Molecular Imaging Systems Laboratory, Korea University, 2020-2021

3. Master / Intelligent Medical Data Laboratory, Korea University, 2023 – 현재

  • Name
  • E-mail
  • Research Interests
  • Career

김성헌/ Seongheon Kim

sengheon07@gmail.com

Intraoperative shock occurrence and detection system model design 

  1. Graduated from Baekseok University, Department of Computer Science and Engineering, 2019 – 2023
  2. Baekseok University information protection club activities, 2019 – 2022
  3. Next Generation convergence Security Lab, Baekseok University, 2020 – 2022
  1. Proposal of Kiosk Payment Security System using Public Blockchain, JKIOTS ,v.8 no.5 , 2022년, pp.55 – 61
  1. “Development of abnormal biometric authentication detection system based on blockchain using deep learning clustering in IoT environment”, National Research Foundation of Korea, 2021 ~ 2022
  • Name
  • E-mail
  • Research Interests
  • Career

이진아 / Jina Lee

jammanbooboo@gmail.com

Medical AI, Generative AI, Medical Data Analysis

1. Bachelor / Department of Medical Information Technology Engineering, Konyang University, 2020 – 2024
2. Intern / Medical Imaging Big Data Lab, Konyang University, 2022 – 2023
3. Intern / Edu-Tech Lab, SELVAS AI Inc, 2023
4. Intern / Data Monitoring Team, Samitech Inc, 2023
5. Intern / Intelligent Medical Data Laboratory, Korea University, 2023 – 2024
6. Master / Intelligent Medical Data Laboratory, Korea University, 2023 – Present

1. Journal / A Study on the Forgery and Detection of CT Data Using Deep Learning Model, 2022

2. Bachelor thesis / A Study on the Liver CT Image Generation Model Using Cycle-GAN, 2023

3. Conference / A Study on the Development of an Ensemble-Based Multiple Classification Prediction Model for Glaucoma Severity, 2024

1. Forgery and Detection of CT Data Using Deep Learning Model, Lab-corps, 2022
2. A Study on the Development of an Ensemble-Based Multiple Classification Prediction Model for Glaucoma Severity, 2023

  • Name
  • E-mail
  • Research Interests
  • Career

안세진 / Se-jin Ahn

ahn8250@naver.com

Machine Learning, Prediction of disease

1. Bachelor / Molecular Biology,Dankook University,2016-2022

2. intern / Precision Medicine CHA University, 2023

3. master / Intelligent Medical Data Laboratory, Korea University, 2024-Present

  • Name
  • E-mail
  • Research Interests
  • Career

이지복 / Jibok Lee

jibok815@gmail.com

Medical AI, Generative AI, Medical Data Analysis

1. Bachelor / Department of Integrative Bioscience and Biotechnology, Sejong University, 2024

2. Intern / 세포분자면역학Laboratory, Sejong University, 2022

3. Master / Intelligent Medical Data Laboratory, Korea University, 2024 – 현재

  • Name
  • E-mail
  • Research Interests
  • Career

이태영 / Tae yeong Lee

lhc1424hu@naver.com

Prediction of disease, machine learning

1. Bachelor / Department of biotechnology, Hankyong National University, 2018 – 2023

2. Master / Intelligent Medical Data Laboratory, Korea University, 2024 – 현재

  • Name
  • E-mail
  • Research Interests
  • Career

하순호 / Ha soonho

sooni6494@naver.com

Bioinformatics, Pathology, New Drug

1. Bachelor / Ocean science, Korea Maritime & Ocean University, 2020

2. Intern / BigData Biology Lab, Chung-Ang University, 2023

3. Master / Intelligent Medical Data Laboratory, Korea University, 2024 –

  • Name
  • E-mail
  • Research Interests
  • Career

정태원 / TaeWon Jung 

dbtaewon@gmail.com

Machine learning, Prediction of disease , Medical XAI

1. Bachelor / Computer Engineering, Yonsei University, Mirae, 2018 – 2024

2. Intern / AI Security Lab, Yonsei University, Mirae, 2023 – 2024

3. Master / Intelligent Medical Data Laboratory, Korea University, 2024 –

1. Conference / Analysis of the Security Vulnerabilities of Telemedicine : Focus on Accident Cases, KIISC, 2023

2. Conference / A Study on the Evaluation of Medical Data Privacy Using DP-SGD Algorithm, KIIS, 2023

Undergraduate Students