research focus

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

• Knowledge discovery and service (Chiehyeon Lim)

• Controlled sequence generation (Changhun Lee)

• Activation in neural networks (Kihyuk Yoon)

• Machine learning on multistage manufacturing processes (Hojin Cho)

• Self-supervised representation learning of sequential data (Hyunwoo Seo)

• AI-based service engineering (Jongkyung Shin)

• Empathetic dialogue generation (Yeram Kim)

• Multi-task representation and clustering of customer data (Hansol Jung)


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