OptiML PSE
OptiML PSE
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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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Dongda Zhang
Publications
Investigating the Reliability and Interpretability of Machine Learning Frameworks for Chemical Retrosynthesis
The automated discovery of kinetic rate models – methodological frameworks
Machine Learning and Hybrid Modelling for Reaction Engineering: Theory and Applications
Integrated experimental and photo-mechanistic modelling of biomass and optical density production of fast versus slow growing model cyanobacteria
Investigating physics-informed neural networks for bioprocess hybrid model construction
The Automated Discovery of Kinetic Rate Models -- Methodological Frameworks
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