Research
We pursue academic excellence with real-world impacts.
In pursuing the following goals, we use a two-track system for research and education: Individual Academic Research + Group R&D Project
• Knowledge discovery on the representation, prediction, generation, and control by machines
• Applied data science and the intelligence development for real-world service engineering
Examples of the members' ongoing individual academic research
• Data science, Service science (Chiehyeon Lim)
• Language model, Reinforcement learning (Changhun Lee)
• Layer-level activation mechanism (Kihyuk Yoon)
• Machine learning on multistage manufacturing processes (Hojin Cho)
• Self-supervised representation learning of timeseries data (Hyunwoo Seo)
• Multi-objective personalized generation (Jongkyung Shin)
• Sequential recommendation with contrastive learning (Hansol Jung)
• Cross-channel recommendation (Yijin Choi)
• Controlled sequence generation for recommendation (Siun Park)
• Causal explanation, Anomaly detection (Byeongyeon So)
• Knowledge graph representation (Jiwon Kim)
Ongoing group R&D projects funded from industry & government
• Learning Framework for the Mutual Cooperation and Development between Experts and A.I.: An Interdisciplinary Approach through the Convergence of Engineering Methods and Sociology Theories, National Research Foundation of Korea, June 2021 – May 2024
• Why Many Experts Still Do Not Accept A.I.? Development of a Scale to Measure the Quality of A.I. Services for Experts, National Research Foundation of Korea, July 2021 – June 2023
• Data-driven and Customer-oriented Approach to Develop Novel Air Conditioning Services, LG Electronics, June 2021 – May 2022
• Yield Prediction and Maximization of Sugar Manufacturing Process with MMP Nets, Samyang, August 2021 – July 2022
• Establishment of the UNIST AI Graduate School, Ministry of Science and ICT, April 2020 – December 2024
• Development of a Method to Identify Latent Factors of Social Science Big Data: An Approach with Clustering for Nonlinear Interdependent Variables with Different Entropies, National Research Foundation of Korea, May 2020 – April 2022
• MD-PhD Collaboration Research for Innovation (Subtopic: Development of an AI-based Nutrition Counseling Service for Allergic Diseases), National Research Foundation of Korea, July 2019 – December 2022
• Development of a Recommender System for the Offline Customers of Retail Markets, Korea Evaluation Institute of Industrial Technology, April 2019 – December 2022
Completed group R&D projects funded from industry & government
• Development of a Gut Microbiome-personalized Diet Recommendation AI System for the Children with Atopic Diseases, Information & Communications Technology Planning & Evaluation, August 2020 – July 2021
• Structural Analysis on the Processes of Technological Innovation in the Fourth Industrial Revolution, National Research Foundation of Korea, July 2018 – June 2021
• Prediction and Optimization of a Lube Base Oil Production Process, SK Lubricants, May 2019 – October 2020
• Development of a Bioage Index with Machine Learning Techniques, Bioage, March 2019 – December 2019
• Establishment of the Center for Maritime Data Science (Subtopic: Development of a Terminal Congestion Prediction Service Model to Improve the Efficiency of Port Operation), Ulsan Port Authority, January 2019 – December 2019
• Development of a Smart Factory Evaluation Method, Hyundai Motor Group, March 2019 – November 2019
• Definition of a Blockchain-based Smart Service System Architecture and Development of a Blockchain-based Service Design Method, National Research Foundation of Korea, June 2018 – May 2020
• Connecting Service Design and Data Analytics through Action Research: Development of a Service-oriented Data Analytics Methodology, National Research Foundation of Korea, May 2018 – April 2020
• Blockchain-based System Engineering, UNIST, February 2018 – December 2019
• Understanding Research and Application Areas in Industry 4.0 through Text Mining and Expert Interviews, UNIST, May 2017 – May 2020
• Development of a Hospital System Optimization Platform: Operating Room Scheduling and Outpatient Service Process Optimization, Pusan National University Hospital, November 2018 – March 2019
• Identification of the Key R&D Issues for Convergence at Industry 4.0: A Text Mining Approach, Korea Institute of Science and Technology, June 2018 – September 2018
• Design of a Mental Health Management Service Model for College Students, Korea Health Industry Development Institute, May 2018 – December 2018
• Development of Data Analytics Methods to Identify the Sources of Odor, Ulsan Industry-University Convergence Campus, October 2017 – March 2018
• A Study on the IoT-enabled Servitization at Industry 4.0 through Intensive Collaboration with Local Industry, National Research Foundation of Korea, March 2017 – February 2019
• Development and Application of Methods and an Intelligent Platform System for Industry 4.0, UNIST, February 2017 – December 2017
• Development of a Visualization-mediated Interactive Product-Service System Evaluation and Design Method, National Research Foundation of Korea, May 2014 – April 2016