With his presentation on Process synthesis through reinforcement learning, Qinghe Gao won the Best Presentation Award at the CAPE Forum 2022.
We are glad to share that our PhD student Lukas Schulze Balhorn has just published his first conference paper on “Flowsheet Recognition using Deep Convolutional Neural Networks” at PSE 2021+.
We are glad to share that our PhD student Qinghe Gao has just published his first conference paper on “Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders” at NIPS.
Artur Schweidtmann has won a FAIR Data Fund 2021 granted by the the 4TU.ResearchData Community. His proposal is about FAIR scientific publications. The project obtained 73 out of 81 points from three reviewers.
Artur Schweidtmann has won a NWO Open Science Fund with his proposal for an open-source knowledge graph database for chemical engineering. His project is one of the 26 projects that were honored by this call for the first time this year (and the only one from TU Delft). The “ChemEng KG” aims to accelerate process development in academia and industry.
I am happy to present our new open-source tool for the MILP optimization of ReLU artificial neural networks. We directly interface #Pyomo and Gurobi Optimization for optimization and #tensorflow for training. Thus, combining state-of-the-art optimization and machine-learning algorithms.
What are the next steps for machine learning in chemical engineering? I am happy to share our joint perspective paper on this topic.