AI-driven Process Engineering & Simulation

Related research/projects

1. Fluidization engineering

2. Process modeling for fluidized bed reactor (ASPEN)

3. Computational fluid dynamics (Fluent, Barracuda)

4. Techno-economic analysis/life cycle assessment (ASPEN/openLCA)

5. Mechanistic model for prediction/optimization

6. Reverse engineering & scale up

7. Visualization analysis for catalytic performance & sensor for reactor

8. Waste plastic/biomass co-gasification optimization with DEBO algorithm 

9. Reasoning model with LLM

Representative published papers

"Data-Driven Catalyst–Process Optimization of the Water–Gas Shift Reaction Using an Interpretable TabPFN–Ensemble Framework", Journal of Industrial and Engineering Chemistry (Jun. 2026).

"Thermodynamic and kinetic analysis of autothermal syngas-generating limestone calcination process forammonia synthesis", Fuel, (Oct. 15, 2025).

"Kinetic-embedded CFD modeling of integrated steam methane reforming and limestone calcination in a fluidized bed reactor", Li, Z.J., Jeon, J.I., Ebneyamini, A., Lim, C.J., Ellis, N., Grace, J.R., Kim, J.Y.*,  Chem. Eng. and Process.-Process Intensification, (Mar. 1, 2025).

"Integrated Process Modeling and Optimization on Methanol Reforming–Fuel Cell Systems via Genetic Algorithm with Techno-Economic Analysis", Energy, (Jul 31, 2025), TOP 5%

"Predicting biomass composition and operating conditions in fluidized bed biomass gasifiers: An automated machine learning approach combined with cooperative game theory", Energy (Oct. 1, 2023) TOP 5%