Students

조준영

• Research area

  • Machine learning in finance

• Publications 

  • ML-based fraud detection (데이터베이스연구 2023, 데이터베이스연구 2024)

• Experiences

  • Ph.D., Dept. of Public Policy and Information Technology, SeoulTech, 2020.3~Present

  • Co-founder, BABITALK (listed to KOSDAQ), 2012~2020

  • Researcher, Agency for Defense Development, 2008~2012

  • M.S. and B.S., Dept. of Computer Science, Yonsei Univ., 2002~2008

유재범 (Jaebeom You)

• Research area

  • Web bias analysis

  • Parallel and distributed web crawlers

  • Distributed data pipelines

• M.S. Thesis (2022.2)

  • A Parallel Processing Framework for Efficient Scraping of Online and Offline Tweets

• Publications

  • Fast multi-authenticated tweet scraper (Data&Knowledge Engineering, 2024)

• Experiences

  • Ph.D., Dept. of Data Science, SeoulTech, 2022.3 ~ Present

  • M.S., Dept. of Data Science, SeoulTech, 2020.3 ~ 2022.2

박강민 (Gangmin Park)

• Research area

  • Quantization in vision

  • Image processing in distributed environments

  • Multi-modal learning (video, audio, chat)

• M.S. Thesis (2022.8)

  • Distributed Algorithms for Object Detection on High-Resolution Large-Scale Images

• Publications

  • Highlight detection with multi-modal learning (Applied Soft Computing, 2022) 

  • Object detection in distributed environments (Journal of Supercomputing, 2022)

• Experiences

  • Ph.D., Dept. of Data Science, SeoulTech, 2022.9 ~ Present

  • M.S. (학석사연계), Dept. of Data Science, SeoulTech, 2020.3 ~ Present

  • B.S. Intern, Big Data Management and Application Lab., SeoulTech, 2018.7 ~ Present

  • Summer School, 암스테르담 공대, 네덜란드, 2019.7 

정철 (Cheol Jeong)

• Research area

  • Federated learning

  • Serverless and carbon-negative computing

• M.S. Thesis (2022.2)

  • Federated Transfer Learning based on Hierarchical Architecture in Edge Computing Environments

• Experiences

  • Ph.D., Dept. of Public Policy and Information Technology, SeoulTech, 2022.3~Present

  • M.S., Dept. of Public Policy and Information Technology, SeoulTech, 2020.3~2022.2

  • AWS Korea, 2021~Present

홍승규 (Seungkyu Hong)

• Research area

  • Natural language processing

  • Optical character recognition

  • Hierarchical classification

• Publications

  • Word embedding in NLP model (Knowledge-Based Systems, 2024)

• Experiences

  • Researcher, Big Data Management and Application Lab., SeoulTech, 2022.8 ~ Present

  • Exchange Program, Algebra University College, 크로아티아, 2020.3 ~ 2020.7

Beyza

• Research interests

  • Embedding model for cyberattack detection

  • Big data annotation methods

• Experiences

  • Business Intelligence and Reporting intern, FLO Retailing company, 2022.02~2022.08

  • IT intern, Istanbul Technical University IT Office, 2021.04~2021.11

• Experiences

  • M.S., Big Data Management and Application Lab., SeoulTech, 2023.9 ~ 2025.8

임보영

• Research area

  • Graph representation learning

  • Distributed learning

• Publications

  • Graph representation learning (SIGMOD2025, TKDE2024)

  • Graph-based recommendation (데이터베이스연구, 2023)

• Experiences

  • M.S., Big Data Management and Application Lab., SeoulTech, 2024.3 ~ Present

  • B.S. Intern, Big Data Management and Application Lab., SeoulTech, 2022.1 ~ 2024.2

문지훈

• Research area

  • Anomaly Detection

  • Edge Computing

  • Federated Learning

• Publications

  • Federated learning (ICDE2025)

  • Medical image

• Experience

  • M.S., Big Data Management and Application Lab., SeoulTech, 2024.3 ~ Present

  • B.S Intern, Big Data Management and Application Lab., SeoulTech, 2022.9 ~ 2024.2

김다연 (DAYEON KIM)

• Research area

  • Time-series anomaly detection

  • Natural language understanding & processing

• Experience

  • M.S., Big Data Management and Application Lab., SeoulTech, 2024.3 ~ Present

최지혁

• Research area

  • Time-series forecasting

  • Anomaly detection

  • Sequential pattern mining

• Experience

  • M.S., Big Data Management and Application Lab., SeoulTech, 2025.2 ~ Present

  • B.S. Intern, Big Data Management and Application Lab., SeoulTech, 2023.4 ~ 2025.2

김혁

• Research area

  • Distributed large-scale graph computing

• Experience

  • B.S. Intern, Big Data Management and Application Lab., SeoulTech, 2024.7 ~ Present

권대훈

• Research area

  • Graph representation learning

  • LLM + RAG

• Experience

  • B.S. Intern, Big Data Management and Application Lab., SeoulTech, 2025.1 ~ Present

이정윤

• Research area

  • Time-series analysis

  • Federated learning

• Experience

  • B.S. Intern, Big Data Management and Application Lab., SeoulTech, 2025.5 ~ Present