Welcome to the Data Systems Lab (Big Data Lab) at the POSTECH. Our data systems lab focuses on STAR (namely, Systems, Theory, and ARtificial intelligence) supported by major grants such as Star Lab. We have been endeavoring to solve challenging and real problems in computer/data science.
[Big News] Our lab has been awarded over $6 million USD for the Global AI Frontier Lab between Korea and NYU. I am the director of this international program, which includes 8 additional professors from KAIST and Sungkyunkwan University. Many of our students will be dispatched to NYU each year to collaborate with world-leading researchers.
We work at the intersection of data systems and natural language processing (NLP), with a team spanning systems researchers, AI scientists and AI engineers.
● Data AI & Knowledge Graph Construction
We develop knowlede graph techniques and apply (large) language models to tabular and text data.
Short term: advanced analytics/processing systems and a fast, trustworthy RAG stack.
Long term: a cost-efficient, data-centric system progressing toward AGI-level capabilities.
● AI Scientists
We are building autonomous AI-scientist workflows to automate the research loop (idea → code → experiments → analysis → paper → review). We emphasize safety, reproducibility, and applicability to data systems × NLP problems, and integrate these agents into our lab’s benchmarking and ablation pipelines.
● Natural Language Interfaces to Data
We’re building conversational database interfaces, letting users query and reason over data using natural language—marrying robust data-system backends with cutting-edge NLP.
● Self-Optimizing Data Systems
Our systems auto-adapt to workload and data distribution, delivering top performance without manual tuning, via AI-driven optimization and continuous feedback.
We are currently hiring interns (연구 참여학생 모집). This is an amazing opportunity for undergrads to experience world-class research in Big Data and prepare for possible graduate school applications. You could be a rising-STAR of the future if you stand out in our field.
We are proud of strong publication records in top database venues such as having presented 24 papers at SIGMOD/VLDB/PODS/ICDE between 2019 and 2024, significantly contributing to make the Korean database community one of the strongest communities worldwide. Many of our alumni work for top notch companies including Facebook, Oracle, SAP, Microsoft, and Amazon. We have been closely collaborating with Oracle Labs and SAP for many years.
All three submissions to EMNLP 2025 have been accepted to the main conference (1 oral presentation, 2 posters).
July 18, 2025Professor Han has been named a POSTECH Distinguished Professor at POSTECH in recognition of his groundbreaking work on large-scale graph database technologies, a distinction that extends his tenure eligibility to the age of 70.
May 16, 2025Our first submission to ACL is accepted. HELIOS achieves SOTA performance in RAG.
HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text Retrieval
Our alumnus, Dr. Doyup Lee, is a key contributor to Runway’s Gen-4 model, leading advancements in AI-driven media generation with consistent and controllable video synthesis.
https://runwayml.com/research/
introducing-runway-gen-4
Professor Han will serve as a general co-chair for SIGMOD 2028, marking the first time SIGMOD will be hosted in Seoul, Korea!
October 16, 2024One paper is accepted to VLDB 2025.
August 8, 2024Our lab has been awarded over $6 million USD for the Global AI Frontier Lab between Korea and NYU. The Global AI Frontier lab in NYU is directed by Professors Yann LeCun and Kyunghyun Cho.
June 30, 2024One paper is accepted to VLDB 2024 (4 SIGMOD, 3 VLDB, 1 ICDE for 2024).
June 26, 2024Hyeonji successfully defended her Ph.D dissertation.
