Research output per year
Research output per year
Personal profile
Education
(2020) Ph.D. Industrial & Systems Engineering, University of Wisconsin-Madison
(2020) M.S. Computer Science, University of Wisconsin-Madison
(2016) M.S. Industrial Engineering, Seoul National University
(2013) B.S. Industrial Engineering / Computer Science and Engineering, Seoul National University
(2020) Ph.D. Industrial & Systems Engineering, University of Wisconsin-Madison
(2020) M.S. Computer Science, University of Wisconsin-Madison
(2016) 산업공학 석사, 서울대학교
(2013) 산업공학/컴퓨터공학 학사, 서울대학교
Professional Experience
(Mar. 2024 - Present) Assistant Professor, Sungkyunkwan University(Mar. 2021 - Feb. 2024)
(Mar. 2021 - Feb. 2024) Assistant Professor, Soongsil University
(May. 2019 - Aug. 2019) Applied Scientist, Amazon
(May. 2018 - Aug. 2018) Research Assistant, Samsung Research America
(Jan. 2016 - Aug. 2016) Research Assistant, College of Medicine, Seoul National University
(2024/03 - 현재) 성균관대학교 시스템경영공학과/산업공학과 조교수
(2021/03 - 2024/02) 숭실대학교 산업정보시스템공학과 조교수
(2019/05 - 2019/08) Applied Scientist, Amazon
(2018/05 - 2018/08) Research Assistant, Samsung Research America
(2016/01 - 2016/08) 서울대학교 의과대학 연구원
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Reinforcement Learning Framework for Personalized Anticoagulation Dosing in Critical Care: Integrating Batch-Constrained Policy Optimization and Off-Policy Evaluation
Lim, Y., Park, I. B. & Lee, S., 2025, In: IEEE Access. 13, p. 203145-203157 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
MoltiTox: a multimodal fusion model for molecular toxicity prediction
Park, J. & Lee, S., 2025, In: Frontiers in Toxicology. 7, 1720651.Research output: Contribution to journal › Article › peer-review
Open Access -
A Causal Network-Based Markov Decision Process Model for Intervention Planning
Lee, S., Bain, P. A., Musa, A. J., Baker, C. & Li, J., 1 Jan 2024, In: IEEE Transactions on Automation Science and Engineering. 21, 1, p. 706-720 15 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Deep Learning for Predicting Phlebitis in Patients with Intravenous Catheters
Lee, S., Cho, I. & Kim, E. M., 24 Jul 2024, Innovation in Applied Nursing Informatics. Strudwick, G., Hardiker, N. R., Rees, G., Cook, R., Cook, R. & Lee, Y. J. (eds.). IOS Press BV, p. 592-593 2 p. (Studies in Health Technology and Informatics; vol. 315).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access1 Scopus citations -
Machine learning-derived model for predicting poor post-treatment quality of life in Korean cancer survivors
Choe, Y. H., Lee, S., Lim, Y. & Kim, S. H., Mar 2024, In: Supportive Care in Cancer. 32, 3, 143.Research output: Contribution to journal › Article › peer-review
4 Scopus citations