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Department of Chemical Engineering and Biotechnology

 

The 3rd conference in the series of outreach events co-organised by research consortia of the EPSRC-funded projects "Combining Chemical Robotics and Statistical Methods to Discover Complex Functional Products" and "Cognitive Chemical Manufacturing" will take place online, hosted by the Department of Chemical Engineering and Biotechnology, University of Cambridge. 

Talks will be recorded and shared in advance, with online discussion sessions held over video conferencing software on 8-9 July. There will also be online poster sessions scheduled across the two days.

To register interest, please send an email to Dr Danilo Russo.

Lectures confirmed

Antonio Del Rio Chanona “Merging Machine Learning and Real Time Optimisation”

Imperial College London

Thomas Savage and Dongda Zhang “Data-Driven Modelling and Optimisation Applied to LNG Refrigeration Cycles”

University of Manchester

Jose Miguel Hernandez Lobato Title TBC

University of Cambridge

Alex Howarth, Kris Ermanis and Jonathan Goodman “DP4-AI and the automation of analytical chemistry”

University of Cambridge

Pietro Lio Title TBC

University of Cambridge

Gabor Csanyi “Machine Learning Molecular Forcefields”

University of Cambridge

Federico Galvanin “Machine learning-assisted experimental design techniques for kinetic model identification“

University College London

Artur Schweidtmann “Maximizing the acquisition function of Bayesian optimization to guaranteed global optimality”

RWTH Aachen

Liwei Cao, Danilo Russo, Alexei Lapkin “ML for Formulations Design”

University of Cambridge

Sebastian Ahnert “Discovering new materials by detecting modules in atomic networks”

University of Cambridge

Jan G. Rittig, Artur M. Schweidtmann, Andrea König, Manuel Dahmen, Martin Grohe, Alexander Mitsos “Deep End-To-End Learning on Molecular Graphs for Physico-Chemical Property Prediction using Graph Neural Networks”

RWTH Aachen

Panagiotis Petsagkourakis “Safe model-based design of experiments using Gausian processes”

University College London

Panagiotis Petsagkourakis "Constrained Reinforcement Learning for Process Optimization and Control under uncertainty"

University College London

Gregor Simm, Robert Pinsler and Jose Miguel Hernandez-Lobato "Reinforcement Learning for Molecular Design Guided by Quantum Mechanics"

University of Cambridge

EPSRC projects updates

Combining Chemical Robotics and Statistical Methods to Discover Complex Functional Products

Alexei Lapkin

Cognitive Chemical Manufacturing

Richard Bourne

Date: 
Wednesday, 8 July, 2020 - 11:00 to Thursday, 9 July, 2020 - 16:00
Contact name: 
Dr Danilo Russo
Contact email: 
Event location: 
Online