MBA

B.S., Seoul National University

M.S., Purdue University

Ph.D., Purdue University

- Dongguk University, Assistant Professor, 2022-present
- Assistant Professor of Management Information System, Korea University, Sejong (March 2016 – August, 2022)

Kwon, Soyeon, and Albert Park (2022), “Understanding user responses to the COVID-19 pandemic on Twitter from a terror management theory perspective: Cultural differences among the US, UK and India,” Computers in Human Behavior, 128, 107087.

Kwon, Soyeon, and Sejin Ha (2022), “Examining identity-and bond-based hashtag community identification: the moderating role of self-brand connections,” Journal of Research in Interactive Marketing.

Kwon, Soyeon (2020), “Understanding user participation from the perspective of psychological ownership: The moderating role of social distance,” Computers in Human Behavior, 105, 106207.

Kwon, Soyeon, Sejin Ha, and Chris Kowal (2017), “How online self-customization creates identification: Antecedents and consequences of consumer-customized product identification and the role of product involvement,” Computers in Human Behavior, 75, 1-13.

이한진, 권소연, 민대환 (2021), “모바일 식품구매 서비스 고객여정의 경험만족도에 관한 실증연구,” Journal of Information Technology Applications & Management, 28(4), 59-78.

권소연 (2019), “온라인 맞춤 서비스가 소비자의 상품에 대한 동일시 인식에 미치는 영향,” 한국IT정책경영학회논문지, 11(3), 1239-1254.

권소연, 범설 (2019), “블랙보드에 대한 교수의 심리적 주인의식이 블랙보드의 만족도와 교수 효능감에 미치는 영향,” 한국IT정책경영학회논문지, 11(6), 1465-1471.

B.S., Ulsan National Institute of Science and Technology

Combined M.S.-Ph.D., Ulsan National Institute of Science and Technology

Dongguk University, Assistant Professor, 2024.09.–present
Korea University, Postdoctoral Researcher, 2024.03.–2024.08.

- Gyumin Lee, Sungjun Lee, and Changyong Lee, 2023. Inventor–licensee matchmaking for university technology licensing: A fastText approach. Technovation, 125, p.102765.
- Gyumin Lee, Daeil Kwon, and Changyong Lee, 2023. A convolutional neural network model for SOH estimation of Li-ion batteries with physical interpretability. Mechanical Systems and Signal Processing, 188, p.110004.
- Juram Kim, Gyumin Lee, Seungbin Lee, and Changyong Lee, 2022. Towards expert–machine collaborations for technology valuation: An interpretable machine learning approach. Technological Forecasting and Social Change, 183, p.121940.
- Gyumin Lee, Juram Kim, and Changyong Lee, 2022. State-of-health estimation of Li-ion batteries in the early phases of qualification tests: An interpretable machine learning approach. Expert Systems with Applications, 197, p.116817.
- Gyumin Lee, Seung Jun Lee, and Changyong Lee, 2021. A convolutional neural network model for abnormality diagnosis in a nuclear power plant. Applied Soft Computing, 99, p.106874.
- Jae Min Kim, Gyumin Lee, Changyong Lee, and Seung Jun Lee, 2020. Abnormality diagnosis model for nuclear power plants using two-stage gated recurrent units. Nuclear Engineering and Technology, 52(9), p.2009–2016.
- Gyumin Lee, Daejin Kim, and Changyong Lee, 2020. A sequential pattern mining approach to identifying potential areas for business diversification. Asian Journal of Technology Innovation, 28(1), p.21–41.
- Changyong Lee and Gyumin Lee, 2019. Technology opportunity analysis based on recombinant search: patent landscape analysis for idea generation. Scientometrics, 121(2), p.603–632.
- Changhun Lee and Gyumin Lee, 2024. Repurformer: Transformers for repurposing-aware molecule generation. In Language and Molecules ACL 2024 (Oral).
- Changhun Lee, Gyumin Lee, and Chiehyeon Lim, 2018. Development of a context-aware serendipitous recommender system. In INFORMS Annual Meeting 2018.
- 박정원, 이규민, 전대성, 최재웅, 이창용, 2024. 언어모델과 공공부문 행정혁신: 개념, 접근법 및 고려 사항. 정부학연구, 30(1), 35-88.
- 이규민, 이창용, 2024. Seek your fortune!: Technological impact-guided technology opportunity analysis using generative-predictive machine learning models. 2024 기술경영경제학회 동계학술대회.
- 이규민, 이창헌, 2021. 약물 재창출 가능성을 고려한 생성 및 예측 모델 기반 신약후보물질 발굴 방법론 개발. 2021 대한산업공학회-한국경영과학회 춘계공동학술대회.