학력
- 2016. 9 ~ 2021. 8, Ph.D. Department of Information and Industrial Engineering, Yonsei University, Seoul, Korea
- 2014. 9 ~ 2016. 8, M.S. Department of Electrical and Electronics Engineering, Yonsei University, Seoul, Korea
- 2009. 6 ~ 2014. 5, B.S. Department of Electronics and Communications Engineering, Mapua Institute of Technology, Manila, Philippines
주요 경력
- 2022.09. ~ Present Visiting Professor, Seoul National University of Science and Technology, Korea
- 2021.09. ~ 2022.08. Research Professor, Seoul National University of Science and Technology, Korea
주요논문 및 저서
◾ Oh, S. H., Kim, J., & Park, J. Employing Deep Reinforcement Learning to Adversarial Attack Simulation for Enhancing Cybersecurity. Advanced Engineering Informatics, under review.
◾ Oh, S. H., Jeong, M. K., Kim, H. C., & Park, J. (2023). Applying Reinforcement Learning for Enhanced Cybersecurity against Adversarial Simulation. Sensors, 23(6), 3000.
◾ Oh, S. H., Lee, S. J., & Park, J. (2022). Effective data-driven precision medicine by cluster-applied deep reinforcement learning. Knowledge-Based Systems, 256, 109877.
◾ Oh, S. H., Park, J., Lee, S. J., Kang, S., & Mo, J. (2022). Reinforcement learning-based expanded personalized diabetes treatment recommendation using South Korean electronic health records. Expert Systems with Applications, 117932.
◾ Oh, S. H., Lee, S. J., & Park, J. (2022). Precision Medicine for Hypertension Patients with Type 2 Diabetes via Reinforcement Learning. Journal of Personalized Medicine, 12(1), 87.
◾ Oh, S. H., Back, S., & Park, J. (2021). Measuring Patient Similarity on Multiple Diseases by Joint Learning via a Convolutional Neural Network. Sensors, 22(1), 131.
◾ Oh, S. H., Lee, S. J., Noh, J., & Mo, J. (2021). Optimal treatment recommendations for diabetes patients using the Markov decision process along with the South Korean electronic health records. Scientific reports, 11(1), 1-10.
저널 논문
◾ (SCI/E) Oh, S. H., Kim, J., & Park, J. Employing Deep Reinforcement Learning to Adversarial Attack Simulation for Enhancing Cybersecurity. Advanced Engineering Informatics, under review.
◾ (SCI/E) Oh, S. H., Jeong, M. K., Kim, H. C., & Park, J. (2023). Applying Reinforcement Learning for Enhanced Cybersecurity against Adversarial Simulation. Sensors, 23(6), 3000.
◾ (SCI/E) Oh, S. H., Lee, S. J., & Park, J. (2022). Effective data-driven precision medicine by cluster-applied deep reinforcement learning. Knowledge-Based Systems, 256, 109877.
◾ (SCI/E) Oh, S. H., Park, J., Lee, S. J., Kang, S., & Mo, J. (2022). Reinforcement learning-based expanded personalized diabetes treatment recommendation using South Korean electronic health records. Expert Systems with Applications, 117932.
◾ (SCI/E) Oh, S. H., Lee, S. J., & Park, J. (2022). Precision Medicine for Hypertension Patients with Type 2 Diabetes via Reinforcement Learning. Journal of Personalized Medicine, 12(1), 87.
◾ (SCI/E) Oh, S. H., Back, S., & Park, J. (2021). Measuring Patient Similarity on Multiple Diseases by Joint Learning via a Convolutional Neural Network. Sensors, 22(1), 131.
◾ (SCI/E) Oh, S. H., Lee, S. J., Noh, J., & Mo, J. (2021). Optimal treatment recommendations for diabetes patients using the Markov decision process along with the South Korean electronic health records. Scientific reports, 11(1), 1-10.
◾ (SCI/E) Oh, S. H., & Mo, J. (2021). Reinforcement Learning Based Optimal Treatment Recommendations for Diabetes Patient using Electronic Health Record, IFORS.
◾ (KCI) Kim, Y., Oh, S. H., Mo, J. (2019). Mining contextual information from online consumer review: The relationship between information gain and product sales. Journal of the Korean Institute of Industrial Engineers, 45(1).
학술대회
◾ Oh, S. H., & Mo, J. (2021). Reinforcement Learning Based Optimal Treatment Recommendations for Diabetes Patient using Electronic Health Record, IFORS.
◾ Oh, S. H., Kang, S., Beak, S., & Mo, J. (2020). Reinforcement learning based optimal treatment recommendation for diabetes patients, KORMS.
◾ Oh, S. H., & Mo, J. (2019). 당뇨병 환자의 의료기록과 강화학습을 이용한 최적 약제 추천 모델, KORMS
◾ Oh, S. H., Liying, P., & Mo, J. (2019). 의료데이터와 Markov Decision Process를 이용한 당뇨병 환자의 최적 약제 추천 모델, KIIE
◾ Oh, S. H., Liying, P., & Mo, J. (2018) “Markov Decision Process를 적용한 환자의 질병 예측 및 의료 행위 추천 모델: 의료 빅데이터를 중심으로”, KIIE
◾ Oh, S. H., Kim, Y., & Mo, J. (2017) “정보이론을 적용한 국내 자동차 시장 수요예측 : 온라인 소비자 리뷰를 중심으로”, KIIE
◾ Oh, S. H., Jo, S., & Seo, J. S. (2016). Zipping transmission for infrastructure-assisted cloud network navigation system. ICACT
◾ Kim. S., Jo. S., Oh. S. H., & Seo. J. S. (2015). 5 세대 이동통신 기술을 위한 Multi-Input Multi-Output 기술 기반 Universal Filtered Multi-Carrier 시스템에 관한 연구. 한국통신학회 학술대회논문집, 7-8.
연구프로젝트
◾ 인공지능혁신공유대학사업, 교육부, 2021.09 ~ 현재
◾ 상시적 보안품질 보장을 위한 6G 자율보안 내재화 기반기술 연구, ETRI, 2022.05 ~ 현재
◾ 강화학습 기반 Adversary Emulation 기술 연구, 국가보안기술연구소, 2022.04 ~ 현재
◾ 실시간 대규모 영상 데이터 이해 예측을 위한 고성능 비주얼 디스커버리 플랫폼 개발, ETRI, 2022.04 ~ 2022.11.
◾ 강화학습 강좌에서 서비스 러닝 도입에 관한 연구, 교육부, 2021.09. ~ 2022.01.
◾ Smart media service research center, ITRC, 2020.08 ~ 2021.08
◾ A research on the personalized treatment recommendation system using medical big data, NRF, 2018.08 ~ 2021.05
◾ Industrial Cluster for New Technology Research, Hyundai motors, 2019.12 2020.11
◾ 비정형의 빅데이터를 활용하여 경쟁환경에서 사업자의 신제품 포지셔닝과 다기간 제품 포트폴리오 선정에 도움을 줄 수 있는 전사적 의사결정 시스템의 개발, NRF, 2016.09 ~ 2018.05
◾ 콘텐츠 유통 환경 다변화에 따른 지상파 방송 클립형 콘텐스 소비 수요 연구, KBS, 2017.08 ~ 2017.11
◾ A research on the next generation DTV broadcasting system, ITRC, 2015.03 ~ 2016.02
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