CV

Education

• Ph.D in Applied Data Science, University of Stavanger, 2026 (expected)
• M.S. in Computer Science, University of Stavanger, 2019
• B.S. in Computer Science, Yonsei University, 2017

Work experience

• Lecturer (Aug 2020 — Nov 2022)

  • Yonsei University, Seoul, South Korea
  • Duties included: Delivered lectures on big data, machine learning, and AI at the Graduate School of Information.

• Tech Lead (Jan 2022 — Oct 2022)

  • Flipper Corporation, Seoul, South Korea
  • Duties included: Led development of Nachocode, a no-code native app builder platform; mentored and trained junior developers.
  • Tech stack: ReactJS, NodeJS, Fastlane, Android, iOS, AWS

• AI Education Mentor (Jan 2021 — Jun 2022)

  • Upstage, Seoul, South Korea
  • Duties included: Produced AI lecture materials and provided mentorship for Boostcamp, Korea’s national AI education program; focus areas included Deep Knowledge Tracing, AI product deployment, and recommender systems.

• CTO & Co-founder (Mar 2020 — Dec 2020)

  • BeBridge, Seoul, South Korea
  • Duties included: Developed Slid, an online video note-taking application via Chrome extension; built an automated slide extraction system (processed a 1-hour video in under 10 seconds).
  • Tech stack: Flask, ReactJS, AWS

• Solutions Architect Intern (Sep 2019 — Mar 2020)

  • Amazon Web Services (AWS), Seoul, South Korea
  • Duties included: Tested and optimized demo architectures for customer solutions; developed educational content for AWS Korea’s education team; acquired 3 AWS associate-level certifications (Solutions Architect, Developer, SysOps Administrator).

• Softeware Engineering Intern (Jun 2018 — Aug 2018)

  • Equinor (Software Innovation Department), Stavanger, Norway
  • Duties included: Created sample applications and documentation for Kubernetes-based infrastructure.
  • Tech stack: Docker, Kubernetes

• Lead Developer (Jan 2016 — Jul 2017)

  • Kospoll, Seoul, South Korea
  • Duties included: Developed a full-featured voting-based stock prediction platform, serving 100K+ users.
  • Tech stack: Django, Bootstrap, jQuery, iOS (webview), Android (webview), MySQL, Redis, AWS

Publications

GC-Fed: Gradient Centralized Federated Learning with Partial Client Participation

Seo, Jungwon, Ferhat Ozgur Catak, Chunming Rong, Kibeom Hong, and Minhoe Kim. "GC-Fed: Gradient Centralized Federated Learning with Partial Client Participation." Information Fusion (2026): 104148. Available online 13 January 2026. https://doi.org/10.1016/j.inffus.2026.104148.

FedShift: Robust Federated Learning Aggregation Scheme in Resource Constrained Environment via Weight Shifting

Seo, Jungwon, Chunming Rong, and Minhoe Kim. "FedShift: Robust Federated Learning Aggregation Scheme in Resource Constrained Environment via Weight Shifting." IEEE Access (2025): 1-1. https://doi.org/10.1109/ACCESS.2025.3648064.

ProxyLLM: LLM-Driven Framework for Customer Support Through Text-Style Transfer

Jo, S., Seo, J. (2026). ProxyLLM : LLM-Driven Framework for Customer Support Through Text-Style Transfer. In: Dutra, I., et al. Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track. ECML PKDD 2025. Lecture Notes in Computer Science(), vol 16022. Springer, Cham. https://doi.org/10.1007/978-3-032-06129-4_28

Federated Large Domain Model System

Rong, Chunming, Jungwon Seo, Zihan Zhao, Ferhat Ozgur Catak, Jiahui Geng, and Martin Gilje Jaatun. “Federated Large Domain Model System.” Blockchain: Research and Applications 6, no. 3 (2025): 100277. https://doi.org/10.1016/j.bcra.2025.100277.

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study

Seo, Jungwon, Ferhat Ozgur Catak, and Chunming Rong. "Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study." In Norsk IKT-konferanse for forskning og utdanning, no. 1. 2024.

Federated AI Chat System: Tackling Tacit Knowledge Management

Seo, J., B. Cui, and C. Rong. "Federated AI Chat System: Tackling Tacit Knowledge Management." In 85th EAGE Annual Conference & Exhibition (including the Workshop Programme), vol. 2024, no. 1, pp. 1-5. European Association of Geoscientists & Engineers, 2024.

Flexible and secure code deployment in federated learning using large language models: Prompt engineering to enhance malicious code detection

Seo, Jungwon, Nan Zhang, and Chunming Rong. "Flexible and secure code deployment in federated learning using large language models: Prompt engineering to enhance malicious code detection." In 2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), pp. 341-349. IEEE, 2023.

Talks

LLM-powered Automated Workflow Management

April 15, 2024

Talk at Energy Norway 2024, Stavanger, Norway

A better way to share data

September 27, 2023

Talk at NCS2030 Webinar, Stavanger, Norway

A better way to share data

September 07, 2023

Talk at Researcher's breakfast, Stavanger, Norway

Building Federated Knowledge Cloud with Tokenized Digital Assets and Smart Contracts across Consortium

March 15, 2023

Talk at Energy Norway 2023, Stavanger, Norway

Teaching

Secure and Robust AI Model Development (DAT945)

Security and Vulnerability in Networks (DAT510)

Blockchain Technologies and Application (DAT655)

Big Data Analytics Programming (GSI7633)

AI Application (GSI7674)

Machine Learning (GSI7645)

Big Data Analytics Programming (GSI7633-2)

Big Data Analytics Programming (GSI7633-1)

Unstructured Data Analysis (GSI7622)

Big Data Analytics Programming (GSI7564)

Others

• Mar 2020 — Jan 2022: Information Operations Soldier (compulsory service)
  • Republic of Korea Army Special Warfare Command — Special Warfare School
  • Completed airborne training; conducted 10 parachute jumps 🪂🪂🪂.