OptiML PSE
OptiML PSE
Research
Bayesian Optimization
Data-Driven Optimization
Supply Chain Optimization
Reinforcement Learning
Statistical Learning
Large Language Models
Hybrid Modelling
Process Control
Deep Learning in Chemical Engineering
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Panagiotis Petsagkourakis
Publications
An efficient data-driven distributionally robust MPC leveraging linear programming
Data-driven coordination of subproblems in enterprise-wide optimization under organizational considerations
Neural ODEs as Feedback Policies for Nonlinear Optimal Control
Tube-based distributionally robust model predictive control for nonlinear process systems via linearization
Tube-based distributionally robust model predictive control for nonlinear process systems via linearization
Neural ODEs as Feedback Policies for Nonlinear Optimal Control
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