Seokho Kang

Emails.kangskkuedu
Websitehttps://scholar.google.com/citations?user=gOffOTgAAAAJ

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Research activity per year

Education

(2015.8) Ph.D., Industrial Engineering, Seoul National University, Seoul, Korea
(2011.2) B.S., Industrial Engineering, Seoul National University, Seoul, Korea

(2015.8) 서울대학교 산업공학과 공학박사
(2011.2) 서울대학교 산업공학과 공학사

Professional Experience

(2017.9 ~ present) Associate Professor, Department of Systems Management Engineering (Industrial Engineering),Sungkyunkwan University, Suwon, Korea
(2018.1 ~ 12) Visiting Scholar, Courant Institute of Mathematical Sciences, New York University, New York, NY, USA
(2017.9 ~ 2023.8) Assistant Professor, Department of Systems Management Engineering (Industrial Engineering),Sungkyunkwan University, Suwon, Korea
(2015.9 ~ 2017.8) Research Staff Member, Samsung Advanced Institute of Technology, Suwon, Korea

(2023.9 ~ 현재) 성균관대학교 시스템경영공학과(산업공학과) 부교수
(2018.1 ~ 12) 뉴욕대학교 쿠란트수학연구소 방문연구원
(2017.9 ~ 2023.8) 성균관대학교 시스템경영공학과(산업공학과) 조교수
(2015.9 ~ 2017.8) 삼성종합기술원 전문연구원

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Dive into the research topics where Seokho Kang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

Consistency-regularized graph neural networks for molecular property prediction
Han, J. & Kang, S., Feb 2026, In: Neural Networks. 194, 108157.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Test-time local training of neural network for tabular data
Kang, M. & Kang, S., Dec 2026, In: Scientific Reports. 16, 1, 1863.
Research output: Contribution to journal › Article › peer-review

Open Access
Enhancing chemical reaction search through contrastive representation learning and human-in-the-loop
Kwon, Y., Jeon, H., Choi, J., Choi, Y. S. & Kang, S., Dec 2025, In: Journal of Cheminformatics. 17, 1, 51.
Research output: Contribution to journal › Article › peer-review

Open Access
Frost forecasting via weakly-supervised semantic segmentation of satellite imagery
Kang, S., Seong, S. K., Sohn, E., Kim, J. & Shim, J., 2025, In: GIScience and Remote Sensing. 62, 1, 2496013.
Research output: Contribution to journal › Article › peer-review

Open Access
GK2A 자료를 이용한 약한 지도 학습 기반의 전천(All-Sky) 해수면온도 산출
Translated title of the contribution: Estimation of All-Sky Sea Surface Temperature Using Weakly Supervised Learning with GK2A DataHwang, Y., Kim, J., Kim, M. J., Sohn, E., Kang, S., Kim, Y. J. & Seong, S., 2025, In: Korean Journal of Remote Sensing. 41, 2, p. 363-373 11 p.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Scopus citations

Seokho Kang

Personal profile

Education

Professional Experience

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Consistency-regularized graph neural networks for molecular property prediction

Test-time local training of neural network for tabular data

Enhancing chemical reaction search through contrastive representation learning and human-in-the-loop

Frost forecasting via weakly-supervised semantic segmentation of satellite imagery

GK2A 자료를 이용한 약한 지도 학습 기반의 전천(All-Sky) 해수면온도 산출

Seokho Kang

Personal profile

Education

Professional Experience

Fingerprint

Collaborations and top research areas from the last five years

Research output

Consistency-regularized graph neural networks for molecular property prediction

Test-time local training of neural network for tabular data

Enhancing chemical reaction search through contrastive representation learning and human-in-the-loop

Frost forecasting via weakly-supervised semantic segmentation of satellite imagery

GK2A 자료를 이용한 약한 지도 학습 기반의 전천(All-Sky) 해수면온도 산출