Research Interests

• Advanced Process Control (MPC, Robust Control, Economic MPC)
• Process Modeling and Dynamic Simulation
• Artificial Intelligence in Chemical Engineering
• Digital Twin and Smart Manufacturing
• Energy Systems Engineering and Green Hydrogen
• Carbon Neutral Chemical Production
• Biomass Conversion and Bioprocess Systems
• Process Optimization and Sustainability Analysis

Education

• Ph.D. in Chemical Engineering

Teaching

• EGCH 401 Process Dynamics and Control
• EGCH 402 Chemical Engineering Capstone Design
• EGCH 499 Chemical Engineering Capstone Design Project
• EGCH 625 Artificial Intelligence, Data Analytics and Computation Techniques

Selected Publications

• Kongjui, W., Patthaveekongka, W., Jeraputra, C., Bumroongsri, P. (2025). Design of modular electrolysis and modular high-efficiency fuel cell systems for green hydrogen production and power generation with low emission of carbon dioxide. Computers & Chemical Engineering, 198, 109101.
• Bumroongsri, P. (2024). Value-added product from sugarcane molasses: Conversion of sugarcane molasses to non-caloric sweetener for applications in food and pharmaceutical industries. Bioresource Technology, 395, 130370.
• Bunsakit, C., Methaapanon, R., Bumroongsakulsawat, P., Bumroongsri, P., Kim-Lohsoontorn P. (2024). Exploring the possibility of carbon neutral dimethyl carbonate production through urea alcoholysis processes. Journal of Cleaner Production, 434, 139586.
• Lao-atiman, W., Bumroongsri, P., Arpornwichanop, A., Olaru, S., and Kheawhom, S. (2023). A novel state-of-health notion and its use for battery aging monitoring of zinc-air batteries. Computers and Chemical Engineering, 180, 108465.
• Yadbantung, R., Bumroongsri, P. (2022). Periodically time-varying economic model predictive control with applications to nonlinear continuous stirred tank reactors. Computers and Chemical Engineering, 157, 107602.
• Vilaivannaporn, W., Boonsith, S., Pornputtapitak, W., Bumroongsri, P. (2021). Robust output feedback predictive controller with adaptive invariant tubes and observer gains. International Journal of Dynamics and Control, 9(2), 755–765.
• Yadbantung, R., Bumroongsri, P. (2019). Tube-based robust output feedback MPC for constrained LTV systems with applications in chemical processes. European Journal of Control, 47, 11–19.
• Kusolsongtawee, T., Bumroongsri, P. (2018). Two-stage modeling strategy for industrial fluidized bed reactors in gas-phase ethylene polymerization processes. Chemical Engineering Research and Design, 140, 68–81.

Awards/Honors

• Best Presentation Award, TIChE Conference 2025
• Best Presentation Award, PACCON Conference 2026

Pictures

• Research/labs photos (1-3 photos with 1 paragraph describing your research)

The Control and Simulation Engineering Laboratory (CASE LAB) has been established as the center for the research activities associated with modeling, simulation and control in industrial chemical processes. The laboratory has been equipped with advanced hi-speed computers to test the newly developed algorithms for complicated modeling and simulation tasks. The prototype units for industrial applications such as heterogeneous reactors and advanced process controllers have also been developed for teaching and learning activities of the students. The laboratory has active collaborations with various industrial companies for research and development projects.

 

• Research/labs team

 

 

• Photos that you impressed