What is Big Data (or data mining)?
Data is generated everywhere - in all industries, organizations, and governments. Extracting value from data is the essence of data mining and also AI and machine learning. Accordingly, data mining is an interdisciplinary field that involves databases, machine learning, computer vision, and natural language processing.
Our current research interests reside in recommender system, natural language processing, anomaly detection, and multi-modal learning, and handle multiple types of data, including tables, matrices, tensors, graphs, and time-series as well as text and images.
Our lab is recruiting MS/PhD students and also undergraduate research interns. Please, contact me first if you want to join our lab. I am especially excited about working with exceptional (undergraduate or graduate) students. My goal for students is to maximize their potentials and abilities to draw out influential research results. Specifically, my research guidance emphasizes 1) identifying fundamental and important research problems by a thorough understanding of literature and working on real-world problems, 2) developing technical skills through comprehensive implementations and experiments, and 3) presenting and writing out ideas and results into top-tier conference or journal publications.
Our lab has the strongest publication records nationwide in the area, and my students have won prestigious awards such as top prizes in world data mining competitions, awards at top-tier conferences, 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 at first-class universities (e.g. UTexas, KAIST) or major industries in the United States (e.g., Amazon, Oracle, Adobe).
Undergraduates interested in research interns are encouraged to apply after taking the CSED342 AI class. (학부생 연구참여에 관심있는 학생은 CSED342 인공지능 수업을 들은 후에 지원하기를 권장합니다.)
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)