Jungwon Seo

Stipendiat i Applied Data Science

Jungwon Seo

Kontakt

E-post: jungwon.seo@uis.no

Organisasjonsenhet

Det teknisk-naturvitenskapelige fakultet

Institutt for data- og elektroteknologi

Kort om meg

Education

  • Ph.D. in Computer Science, University of Stavanger, Stavanger, Norway (Dec 2022 - Present). 
    • Topic: Federated Knowledge Cloud.
  • M.Sc. in Computer Science, University of Stavanger, Stavanger, Norway (Aug 2017 - Jun 2019). 
  • Bachelor's Degree in Computer Science, Yonsei University, Seoul, South Korea (Mar 2009 - Feb 2017).

Work Experience

  • Technical Lead, Hitbim, Seoul, South Korea (Jan 2022 - Oct 2022). 
    • Focus on No-Coding app platform system design and architecture.
  • CTO, BeBridge, Seoul, South Korea (Mar 2020 - Dec 2020). 
    • Developed Chrome extension app "Slid" and built AWS architecture.
  • Solutions Architect Intern, Amazon Web Services, Seoul, South Korea (Sep 2019 - Mar 2020). 
    • Developed educational content and tested demo architectures.
  • Software Developer Intern, Equinor, Stavanger, Norway  (Jun 2018 - Aug 2018). 
    • Worked on Kubernetes-based infrastructure projects.
  • Lead Developer, KOSPOLL, Seoul, South Korea (Jan 2016 - Jul 2017). 
    • Developed mobile and web applications.
  • Sergeant, Republic of Korea Army Special Forces, Gwangju, Gyeonggi-do, South Korea (Mar 2010 - Jan 2012)
    • Mandatory military service

Teaching & Research Experience

  • Lecturer, Yonsei University, Seoul, South Korea (Aug 2020 - Nov 2022). 
    • Taught courses on unstructured data analysis, machine learning, and big data.
  • Project Mentor, Upstage, Seoul, South Korea (Jan 2021 - Jun 2022). 
    • Developed course material for AI and machine learning applications.
  • Research Assistant, CANYVAL-X, Seoul, South Korea (Dec 2014 - Dec 2015). 
    • Worked on a cube satellite project with NASA.

Følg meg på nett

LinkedIn

Publikasjoner

Vitenskapelige publikasjoner

Seo, Jungwon; Zhang, Nan; Chunming, Rong

(2024)

Flexible and secure code deployment in federated learning using large language models : Prompt engineering to enhance malicious code detection. I: 2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom).

IEEE conference proceedings.

ISBN 979-8-3503-3982-6.

s.341-349.

DOI: 10.1109/CloudCom59040.2023.00062

Zhang, Nan; Liu, Ye; Geng, Jiahui; Cui, Boyu; Seo, Jungwon; Cao, Jie; Rong, Chunming

(2023)

Cross-domain knowledge discovery and sharing in digital subsurface based on federated learning. I: ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering: Volume 9: Offshore Geotechnics; Petroleum Technology.

The American Society of Mechanical Engineers (ASME).

ISBN 978-0-7918-8691-5.

DOI: 10.1115/OMAE2023-104639

Bøker og kapitler

Seo, Jungwon; Cui, Boyu; Chunming, Rong

(2024)

Federated AI Chat System: Tackling Tacit Knowledge Management.

European Association of Geoscientists and Engineers (EAGE).

ISBN 9789462824980.

Volum Volume 2024.

Formidling

Seo, Jungwon

(2024)

LLM-powered Automated Workflow Management.

Energy Norway 2024;

2024-04-14 - 2024-04-17.

Zhang, Nan; Liu, Ye; Geng, Jiahui; Cui, Boyu; Seo, Jungwon; Cao, Jie; Rong, Chunming

(2023)

Cross-domain knowledge discovery and sharing in digital subsurface based on federated learning.

International Conference on Ocean, Offshore and Arctic Engineering;

2023-06-11 - 2023-06-16.

Seo, Jungwon

(2023)

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

Energy Norway 2023;

2023-03-13 - 2023-03-15.