
SENIOR RESEARCHER KISTI(Korea Institute of Science and Technology Information) | 2020.12 – present
NLP researcher & developer • Develop science and technology information specialized LLM, KONI • Develop R&D Specialized LLM, KoRnDAlpaca, and apply the model to NTIS • Develop AI algorithm for identifying company names • Develop Classification model and chatbot for NTIS
• Develop patent-based similar company recommendation model
• Develop R&D report auto-generation model
• Develop hadoop-based big data platform and data integration automation module
RESEARCHER KEPRI (KEPCO Research Institute, KEPRI) | 2018.06 – 2020.12
Industrial data scientist & data engineer • Develop cloud platform based on Openstack and Kubernetes
• Develop AI APIs such as OCR, TTS, and custom vision
• Develop automl module specialized for electric industry
• Develop deep learning algorithm for equipment verification
RESEARCHER KAIST | 2018.02 – 2018.06
Research on distributed deep learning and federated learning
• Research on Superintelligence Technology for Science and Technology Information (January 2022 – Present)
• Development of Core Technologies for Intelligent R&D Information Services Based on Big Data (January 2021 – Present)
• National Science and Technology Knowledge Information Service Project (January 2021 – Present)
• KEPCO Software Development Cloud Platform (July 2018 – December 2022)
• Development of KEPCO Legal Expert System (December 2018 – November 2019)
• Development of Automatic Meter Reading Algorithm Based on YOLO and CNN (August 2018 – December 2019)
• Data Analysis of IDPP (Intelligent Digital Power Plant) PI (February 2019)
• Collaborative Giga-class Smart Cloudlet Core Technology Development (March 2016 – February 2018)
• Study on Presale Price and Presale Rate Prediction Model Based on Real Estate Data (May 2016 – April 2017)
• KISTI Excellent Early-Career Researcher Award (2022)
• NST Excellent Early-Career Researcher Award (2025)
• Advisory Committee Member, Big Data Statistics Development Council, National Data Agency (June 2025–present)
• AI Research Advisory Committee Member, National Statistical Research Institute, National Data Agency (Dec 2025–present)
• Jang, Gwangseon, Hyeon Ji Jeong, and Mun Yong Yi. "MICD: More intra-class diversity in few-shot text classification with many classes." Knowledge-Based Systems (2024): 112851. (SCIE, Q1)
• Jang, Gwangseon & Kim, Yunjeong & Hwang, Myeong-Ha. (2023). SMART-ID: Semantic Matching based on Applying BERT for R&D Institution Identification. The Transactions of The Korean Institute of Electrical Engineers. 72. 1097-1106. 10.5370/KIEE.2023.72.9.1097. (SCOPUS)
• Jeong, H. J., Jang, G., Shin, D., & Kim, T. H. (2022). Automatic Linkage Model of Classification Systems Based on a Pretraining Language Model for Interconnecting Science and Technology with Job Information. Journal of Information Science Theory and Practice, 0(S), 39–45. https://doi.org/10.1633/JISTAP.2022.10.S.4 (KCI)
• Jang, Gwangseon & Hwang, Myeong-Ha. (2021). Automated Machine Learning Pipeline System Based on Beam Search for Electric Power Industry. Transactions of the Korean Institute of Electrical Engineers. 70. 1914-1923. 10.5370/KIEE.2021.70.12.1914. (SCOPUS)
• Jang, Gwangseon & Lee, Jin-woo & Lee, Jae-Gil & Liu, Yunxin. (2020). Distributed fine-tuning of CNNs for image retrieval on multiple mobile devices. Pervasive and Mobile Computing. 64. 101134. 10.1016/j.pmcj.2020.101134. (SCIE, Q2)
• Lee, Jin-woo & Jang, Gwangseon & Jung, Hohyun & Lee, Jae-Gil & Lee, Uichin. (2019). Maximizing MapReduce job speed and reliability in the mobile cloud by optimizing task allocation. Pervasive and Mobile Computing. 60. 101082. 10.1016/j.pmcj.2019.101082. (SCIE, Q2)
(+82) 042 869 1735 [email protected]
[www.linkedin.com/in/광선-장-a5a16bb6/](https://eight-hydrant-1af.notion.site/www-linkedin-com-in-a5a16bb6-13f0303e2652814e833edbb175c029a7)
[github.com/rayjang](https://eight-hydrant-1af.notion.site/github-com-rayjang-13f0303e265281588ed5fc91d3823424)
KAIST Ph.D. candidate in Graduate School of Data Science 2022 – Present
KAIST MS in Graduate School of Knowledge Service Engineering 2016 – 2018
HANGDONG GLOBAL UNIVERSITY BS in Computer Science & Economics 2009 – 2016
• Deep learning & Machine learning • Data engineering
• LLM
• NLP
• Computer vision • Federated learning
• Pytorch
• PySpark
• Openstack & kubernetes
• Korean - native • English