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

• Publications

  • FAIR-RAG: An End-to-End Framework for Mitigating Political Bias through Fair Retrieval-Augmented Generation (SIGIR, 2026)

  • From Data to Model in Bias: A Statistical Analysis of Political Bias in the C4 Corpus and Its Impact on LLMs (WSDM, 2026)

  • Geo-Personalization Bias in News Search: Analyzing Filter Bubbles in Search Engine Results with Multi-Perspective LLM Annotation (WSDM, 2026)

  • FAIR-SE: Framework for Analyzing Information Disparities in Search Engines with Diverse LLM-Generated Personas (CIKM, 2026)

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

  • A Parallel Processing Framework for Efficient Scraping of Online and Offline Tweets (M.S. Thesis, 2022)

• 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

  • Neuromorphic AI

  • Model Quantization

• Publications

  • Bitshift-RoPE (NeurIPS2026 submitted)

  • SPIRE (NeurIPS2026 submitted)

  • Adaptive Spike Neural Networks for Natural Language Inference Tasks with Dynamic Spike Predictor (CIKM2026 short)

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

• Experiences

  • Ph.D., Dept. of Data Science, SeoulTech, 2024.9 ~ Present

  • Researcher, Big Data Management and Application Lab., SeoulTech, 2022.8 ~ 2024.8

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

임보영

• Research areas

  • Graph representation learning

  • Distributed learning

• Publications

  • Graph continual learning (NeurIPS2026 submitted)

  • Graph learning for time-series forecasting (NeurIPS2026 submitted)

  • Graph representation learning (SIGMOD2025, TKDE2024)

  • Graph-based recommendation (데이터베이스연구, 2023)

• Experiences

  • M.S. Researchers, Big Data Management and Application Lab., SeoulTech, 2026.3 ~ present

  • M.S., Big Data Management and Application Lab., SeoulTech, 2024.3 ~ 2026.2

  • 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

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

김석환

• Research area

  • Multivariate Time-series anomaly detection

  • Graph representation learning 

• Experience

  • M.S., Big Data Management and Application Lab., SeoulTech, 2025.9 ~ Present 

김민석

• Research area

  • Medical Artificial Intelligence

  • Time-Series Modeling

  • LLMs and Multi-Agent Systems

• Experience

  • M.S., Big Data Management and Application Lab., SeoulTech, 2026.03 ~ Present 

  • B.S. Intern, Big Data Management and Application Lab., SeoulTech, 2025.9 ~ 2026.2

김민솔

• Research area

  • Medical Artificial Intelligence

  • Graph Representation Learning

  • Multiple Instance Learning 

• Experience

  • M.S., Big Data Management and Application Lab., SeoulTech, 2026.03 ~ Present

  • B.S. Intern, Big Data Management and Application Lab., SeoulTech, 2025.9 ~ 2026.2

김하늘

• Research area

  • Large Language Models

  • Federated Learning

• Experience

  • B.S. Researcher, Big Data Management and Application Lab., SeoulTech, 2026.3 ~ Present

  • B.S. Intern, Big Data Management and Application Lab., SeoulTech, 2025.12 ~ 2026.2

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

전지홍

• Research area

  • Test-Time Adaptation for Time Series Forecasting

  • LLM Quantization and Model Compression

• Experience

  • B.S. Intern, Big Data Management and Application Lab, SeoulTech, Dec. 2025–Present

권재욱

• Research area

  • Large Language Models

  • Spiking Neural Networks

• Experience

  • B.S. Intern, Big Data Management and Application Lab, SeoulTech, Dec. 2025–Present