중앙대학교 전자전기공학부 Generative AI Lab. (GAIL)에서는 AI 소프트웨어 분야에 관심있는 대학원생 및 학부 연구생을 모집중입니다. 의료 인공지능, 생성적 딥 러닝, AI모델 기반의 금융 데이터 처리 등에 관심있는 학생은 이민혁 교수 (mlee at cau dot ac Read more…
Our Research Topics
We study new machine learning and deep learning models for various data types, such as biomedical data, financial data, and image data. Specifically, we investigate probability estimation machine learning models for such big database.
Machine Learning for Biomedical Data
Due to the recent development of genome profiling, in recent years, we can use gene expression big data for various complex problems, such as medical diagnosis and survival estimation. We explore new machine learning models to handle gene expression data connecting to such problems.
AI-based Financial Engineering
There have been numerous attempts to use AI for stock market estimation and portfolio management. For financial data, we investigate deep learning models for probability estimation, which handles the uncertainty in financial data. Also, we aim at developing AI-based fund management system that learns from data.
Generative Deep Learning
Generative model is quite different from predictive models since the objective of the model is to predict probability distribution of sample space. Among the generative models, we investigate neural network-based models, including generative adversarial network (GAN).
Find us at the office
#629, Bobst Hall (207 building),
84 Heukseok-ro, Dongjak-gu, Seoul, Korea
email: mlee AT cau DOT ac DOT kr