Data Intelligence Lab
Data Science and Artificial Intelligence
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What is AI and Data Science?
AI is fundamentally a science of data, where computer vision focuses on visual data and NLP delves into linguistic data. Furthermore, a wide range of data types exists, including tables, matrices, tensors, graphs, and time series, generated from diverse sources across various industries and organizations. Extracting value from this data is the core essence of both AI and data science.
Our lab goes beyond the boundaries of specific data types, aiming to produce high-impact research that addresses broader AI challenges and opportunities. Our current research interests encompass, but are not limited to, large language models, multi-modal models, robotic AI, recommender systems, time-series analysis, and anomaly detection.
Join us!
Our lab is recruiting PostDocs, MS/PhD students and also undergraduate research interns. Please, contact me first if you want to join our lab. Prospective graduate students are encouraged to contact me before applying. Students in our lab have won prestigious awards including top prizes in world AI and data science competitions, awards at top-tier conferences, and fellowships from Microsoft, Naver, and Samsung. We have maintained close relationships with academia and industry in the United States, and most of our PhDs have been offered full-time researcher positions at major industries in the United States (including Meta, Amazon, Oracle, Adobe, Yahoo/Verizon) or faculty positions at first-class universities (including U. of Texas US, 카이스트, 고려대, 연세대, 경북대, 부산대).
Undergraduates interested in research interns are encouraged to take AI-related courses prior to applying. Qualified undergrad interns will have opportunities to experience world-class research and publish papers at top-tier conferences. The followings are examples of research projects, and undergrad interns will receive detailed, step-by-step guidance as they work on the projects.
Build a time-aware Large Language Model
Build a multi-modal RAG system for robot AI foundational model
Develop a novel Transformer architecture capable of handling very large and diverse input
Design a novel Retrieval Augmented Generation framework for enterprise Q&A systems
News
We are delighted to annouce the appointment of Dr. SeongKu Kang (PhD, Aug. 2023) as a professor at Korea University, beginning in Spring 2025.
We congratulate Dr. SeongHyeon Lee (PhD, Aug. 2024) on his appointment as a professor at Kyungpook National University, effective Spring 2025.
We are thrilled to announce that our lab has been awarded a grant from the Samsung Future Technology Fund, achieving one of the top 3% of proposals. In this project, we will build a AI foundational model for robot by (1) constructing a large multi-modal model (LMM) capable of understanding video, language, voice and temporal information, and (2) integrating it with a retrieval-augmented generation framework to optimize energy efficiency and response generation.
Congratulations to DongGeon Lee, a master's student, on winning the Gold Award at the 2024 Artificial Intelligence Korean Language Proficiency Contest.
We have published 12 papers in top data science and AI conference in 2024.
Data Intelligence (Big Data & Artificial Intelligence) Lab.,
Department of Computer Science & Engineering,
RIST 4308, San 31, Hyoja-dong, Nam-gu, Pohang, Gyoungbuk, Republic of Korea (790-784)
Tel: +82-54-279-2941
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