About
Dr. Geunseok Yang (양근석)
Assistant Professor (ACM/IEEE Member)Department of Computer Science and Engineering, HanKyong National University
Phone: +82-31-670-5161
Fax: +82-31-670-5169
E-mail: gsyang@hknu.ac.kr
Lab. URL: Lab Website
Office: Room 311, Engineering Building 1, HanKyong National University
Bio
Geunseok Yang is an Assistant Professor in the Department of Computer Science and Engineering at HanKyong National University. He earned his Ph.D. and M.S. in Computer Science from the Department of Computer Science at the University of Seoul in 2020 and 2015, respectively, under the supervision of Dr. Byungjeong Lee. He completed his B.S. in Computer Science and Engineering at the Korea University of Technology and
Education in 2013.
Before beginning his academic career, Dr. Yang built extensive experience in the tech industry, working for five years as a Software Developer, AI Developer, and Data Scientist at Seoul Shinmun Corporation, Munhwa Broadcasting Corporation (MBC), and Kookmin Bank Corporation (KB Bank).
His research interests include Retrieval-Augmented Generation Small Large Language Models (RAG-sLLMs), Large Language Models (LLMs), Small Language Models (SLMs), and Large Multimodal Models (LMMs), with applications in software engineering. He focuses on leveraging these advanced models to drive AI-powered DevOps, agile-based microservice architectures (MSA), KubeFlow with Kubernetes (K8S/K9S), multi-cloud architectures, and the integration of AI and data science to enhance software engineering processes.
Education
[2013.02 ~ 2015.02] Department of Computer Science, University of Seoul (Master in Computer Science)
[2006.02 ~ 2013.02] Department of Computer Science and Engineering, Korea University of Technology and Education (Bachelor in Computer Science and Engineering)
Experience
- Pioneering AI, LLMs, and LMMs research in Software Engineering and Education.
[2021.03 ~ 2023.02] Assistant Professor, Department of Computer Engineering, Kyungnam University
- Advanced AI integration in Software Engineering, with a focus on Software Mining and Evolution.
[2020.09 ~ 2021.02] Research Professor, Department of Computer Science, University of Seoul
- Specialized in applying Deep Learning to Software Engineering, focusing on Software Mining and Evolution.
[2017.12 ~ 2020.08] Digital Strategy Department, KB Kookmin Bank (Head Office)
- AI Service Developer and Data Scientist for Financial Cloud Computing and Software Engineering projects.
[2016.02 ~ 2017.07] Technical Research Institute, MBC Broadcasting Company (Head Office)
- Software Developer and Data Scientist focusing on Deep Learning and Broadcasting Technology projects.
[2015.02 ~ 2016.01] IT Development Department, Seoul Newspaper (Head Office)
- Software Developer and Engineer, focusing on Digital Transformation projects.
Academic Activities
Track Session Chair, ACM Symposium on Applied Computing (SAC 2021, 2024) Software Engineering Track
Reviewer, IEEE Transactions on Reliability, Journal of Systems & Software, Elsevier Information Processing and Management, IEEE Access, Information and Software Technology, Security and Privacy, Software Quality Journal (Springer Nature), IET Software, Entropy
Peer-Reviewer, IEEE International Conference on Asia-Pacific Software Engineering Conference (APSEC 2014), IEEE International Conference on Software Maintenance (ICSM 2013)
Teaching
[Fall 2024] Database System Design (Graduate Course)
[Fall 2024] Open Source Software
[Fall 2024] Introduction to Programming
[Fall 2024] Problem Solving Project 2
[Fall 2024] Artificial Intelligence (Taught in English)
[Spring 2024] Understanding the Metaverse using AI
[Spring 2024] Discrete Mathematics
[Spring 2024] Problem Solving Project 1
[Spring 2024] Problem Solving Project 3
[Spring 2024] Computational Thinking
[Spring 2024] Advanced Software Engineering (Graduate Course)
[Spring 2024] Advanced Software Evolution (Graduate Course)
[Fall 2023] Cloud Computing (Graduate Course)
[Fall 2023] Big Data (Graduate Course)
[Fall 2023] Problem Solving Project 2
[Fall 2023] Introduction to Programming (1, 2 Class)
[Spring 2023] Problem Solving Project 3
[Spring 2023] Discrete Mathematics
[Fall 2022] Java Comprehensive Project
[Fall 2022] Python Project
[Fall 2022] Algorithms
[Fall 2022] Network Programming
[Spring 2022] Data Structures and Algorithms (USG, Summer Class)
[Spring 2022] C# Programming (Summer Class)
[Spring 2022] Cloud Computing System and Application (USG)
[Spring 2022] Data Structures and Algorithms (USG)
[Spring 2022] Computer Networks
[Spring 2022] Intrusion Detection & Prevention Systems
[Spring 2022] C# Programming
[Fall 2021] Advanced Software Engineering
[Fall 2021] Network Programming (A, B Class)
[Fall 2021] Algorithms (A, B Class)
[Fall 2021] Python (Graduate School of Education)
[Spring 2021] Introduction to Programming
[Spring 2021] Intrusion Detection & Prevention Systems
[Spring 2021] Computer Networks (A, B Class)
Talking
[2022-12-01] [특강] 인공지능과 데이터마이닝 기술을 적용한 빅데이터 분석 기획, 2022년도 경상남도 빅데이터센터
[2022-11-29] [포럼] 제 2차 경남 데이터포럼 토론, 2022년도 경남연구원
[2022-10-26] [특강] 인공지능 기술을 활용한 빅데이터 서비스 분석 기획, 2022년도 경상남도 빅데이터센터
[2022-09-29] [특강] 인공지능 기술과 소프트웨어 마이닝 기술을 오픈소스 소프트웨어에 적용, 2022년도 경상국립대학교
[2022-08-29] [특강] SOTA 알고리즘 기반 인공지능, 빅데이터 서비스 분석 기획, 2022년도 경상남도 빅데이터센터
[2022-01-21] [발표] 오픈소스 소프트웨어에서의 버그 정정 관리를 위한 지능형 프레임워크, 한국소프트웨어공학학술대회 2022 신진연구자 발표
[2021-12-21] [연구] 창원과학고등학교 인공지능 R&E 연구 활동, 창원과학고등학교
[2021-11-27] [TV 강연] 4차 산업혁명에 대비한 인공지능 교육, 2021년도 교육방송 EDUTV
[2021-11-10] [특강] 인공지능 서비스 중심 빅데이터 분석 기획, 2021년도 경상남도 빅데이터센터
[2021-10-15] [특강] 인공지능을 완성하는 강화학습 기반 소프트웨어 기술, 2021학년도 창원중앙고등학교
[2021-10-08] [발표] AI 교육의 미래, 2021학년도 경남대학교 교육문제연구소 3차 포럼 발표
[2021-09-07] [특강] 빅데이터 분석 기획, 2021년도 경상남도 빅데이터센터
[2020-12-22] [발표] 자동 버그 정정 관리를 위한 프레임워크, 한국소프트웨어종합학술대회 2020 박사포럼 발표