We aim at developing promising researches for smart control and intelligent systems using data-driven analytics encompassing a variety of statistical techniques from modeling, machine learning, optimization, data mining and various theories that analyze current and historical facts to make predictions about future events.

• Conducting research into AI-driven problem-solving for large-scale infrastructures, such as plant systems, cities, factories, buildings, farms, and diverse facilities.

• Conducting research on Energy-AI encompassing Demand Response, Optimization, Energy Trading, Smart Grid, Distributed Energy Resources, Energy Storage Systems, Building Energy Management System, and Renewable Energy Systems.

• Employing statistical methods within the AI-Industry to extract valuable insights from Big Data.

• Developing machine learning algorithms customized for practical applications across different domains.

• Conducting research on Industrial AI that fuses physics‑informed learning, digital twins, and edge intelligence to enable robust, real‑time decision‑making and control for safety‑critical systems.

• Advancing LLM/VLM methods tailored to industrial contexts, focusing on robust deployment, domain adaptation, and practical impact.

We are looking for highly motivated Postdoc., graduate/undergraduate students(interns) who will perform research for Smart-ICT convergence technologies related to AI-based New Industriy, Smart Cities, Smart Plant systems and factories, Smart buildings, Smartgrids, and other Smart ICT infrastructures,  one of the promising research topics in the Fourth Industrial Revolution. 

Please feel free to contact me if you are interested in those areas. 

Smart Control & Intelligent Systems Laboratory@ Kyungpook National University

Office 411(Professor) & Office 401, 407(Lab.), Building No.9, (2559, Gyeongsang-daero) 386, Gajang-dong, Sangju, Gyeongsangbuk-do 742-711, Republic of Korea,

Global Plaza 1311 ho, 80, Daehak-ro, Buk-gu, Daegu, Republic of Korea.

Tel: +82-54-530-1482

Fax:+82-54-530-1489

E-mail: dongjunsuh@knu.ac.kr

Department webpage: http://cfsebk21.knu.ac.kr/ http://cfse.knu.ac.kr/  https://climate.knu.ac.kr/

Github: https://github.com/KNUSCISLAB