MS3EL

Research · Directions

Directions

Chemical EngineeringProcess Systems EngineeringScientific Machine Learning
1

AI-Agent-Driven Autonomous Mechanism Discovery

  • ·Closed-loop AI-agent framework with multi-layered chemical engineering domain knowledge
  • ·Automated construction of high-fidelity phenomenological and mechanistic models
  • ·High-resolution identification and tracking of kinetic and other model parameters
2

Open-Source Scientific Computing

  • ·Development of open-source toolkits for chemical engineers
  • ·Free, high-performance, and accessible alternatives to MATLAB/Python workflows
3

Mathematical Programming & Optimization Algorithms

  • ·Optimization algorithm design with rigorous mathematical proofs (e.g., global optimality certificates)
  • ·Example: certified global optimization for levelized-cost two-stage stochastic programs (mixed-integer linear-fractional) under probability ambiguity (github.com/JinsuKim-1102/sMILFP-KIM ↗)