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
News
People
Publications
Learning Resources
Contact
Deep Learning in Chemical Engineering
Automated Knowledge Discovery
Miguel Ángel de Carvalho Servia
May 7, 2024
1 min read
Data-driven Distributionally Robust MPC
Zhengang Zhong
May 7, 2024
1 min read
Data-Driven Optimization
Mathias Neufang
May 7, 2024
1 min read
Data-driven Optimization for Enterprise-Wide Optimization
Damien van de Berg
May 7, 2024
2 min read
Digital Twinning for Bioprocesses - from Hybrid to Data-Driven Models
Haiting Wang
May 7, 2024
1 min read
Enhancing Process Performance - Adversarially Robust Real-Time Optimization and Control
Akhil Ahmed
May 7, 2024
1 min read
Human-in-the-Loop Bayesian Optimization
Tom Savage
May 7, 2024
1 min read
Machine-Assisted Synthesis Planning
Friedrich Hastedt
May 7, 2024
2 min read
Multi Agent Reinforcement Learning for Supply Chain Optimisation
Niki Kotecha
May 7, 2024
1 min read
Optimizing Membrane-Based CO2 Capture Technologies for Industrial Applications
Dr. Ana Marisa Arias
May 7, 2024
2 min read
Reinforcement Learning for PSE
Max Bloor
May 7, 2024
1 min read
Safe Reinforcement Learning for Chemical Process Control
José Torraca
May 7, 2024
1 min read
Sustainable Energy Systems
Abdullah Bahamdan
May 7, 2024
1 min read
Cite
×