Information Management Lab
” The Information Management Laboratory conducts research on advanced problems related
to the development and innovative application of information processing and management technologies aimed at
optimizing industrial data systems and innovating information service experiences.
It utilizes methods from operations research, probability and statistics, computer science, and information science,
while primarily leveraging artificial intelligence technologies such as machine learning, data mining, and information retrieval. “
Lab Name
정보경영 연구실 Information Management Lab
Advisor
Prof. 박종헌 (Jonghun Park )
Lab Members
Current Members (10 Ph.D. Students / 5 M.S. Students)
Main Research Areas
Predictive AI: Time Series Analysis, Automated Trading & Forecasting
Generative AI: Chord & Melody Generation, Multi-Modal Models, Music Transcription
Generative AI: Chord & Melody Generation, Multi-Modal Models, Music Transcription
Representative Research
or Projects
or Projects
Project: A Methodological Framework for Multistep Equipment Data Analysis
Project: A generalized deep neural network model for explainable forecasting of multivariate time series data
Project: A Deep Learning-Based Approach for Music Database Construction and Classification Model Performance Evaluation
Project: A generalized deep neural network model for explainable forecasting of multivariate time series data
Project: A Deep Learning-Based Approach for Music Database Construction and Classification Model Performance Evaluation
Relevant Courses
Undergraduate: Data Management and Analysis
Graduate: Data-Driven Learning, Industrial Applications of Machine Learning
Graduate: Data-Driven Learning, Industrial Applications of Machine Learning
Contact Information
02-880-7361
Location
Building 39, Room 337
Website
Main Career Paths After Graduation
Corporate Data Analysis and Artificial Intelligence Tasks
Professor Appointment
Professor Appointment
Application Inquiries
Contact the Professor via Email (jonghun@snu.ac.kr)