Chemical & Biomolecular EngineeringThe catalyst is a core technology of the chemical process and is a high value-added technology that plays a pivotal role in the development of petrochemical, polymers, new materials, and energy environment processes. Design and manufacturing of catalyst, responsive mechanism, development of new catalysts, development of renewable technologies, and recycled technologies are used to reduce greenhouse gas emissions, and synthesized organic materials. Chemical process development and control techniques have evolved based on the construction and operation of the petrochemical plant. Recently, advances in system optimization, automation, Fuzzy control and improved safety technologies have led to further development of system optimization, automation, and safety improvements.
Research Areas
- Advanced chemical catalyst design and manufacturing
- Development of CO2 catalytic conversion process
- Ionic-liquid and metal-organic frame catalyst technique
- Control and automation of chemical plants and development of abnormal diagnosis specialists
- Development of Automatic Control System for Chemical Reactor Systems
- Process Control System Using Artificial Neural Network
- Development of Carbon Dioxide Reduction Materials and Process
- Chemical process design and simulation
- Chemical process modeling and optimization
- Chemical and energy product life cycle analysis
- Development of soft-sensor and deep learning for smart factory
- Model-based and data-driven optimal control of chemical processes
Professor
- Dae Won Park : New concept chemicals design and manufacturing, CO2 catalyst switching
- Kyu Suk Hwang : Control of chemicals and automation, Design process using artificial neural networks
- Chung Yongchul Gregory : Design materials and process of desorption/adsorption
- Jungho Jae : Nanostructured catalyst design, Catalytic processes for renewable energy production
- Inkyu Lee: Chemical process design, modeling, optimization, process evaluation, life cycle analysis
- Sang Hwan Son: Process system modeling, model-based and data-driven optimal control