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This one-day event will offer a great opportunity to hear about the latest developments in the area from academic and industry speakers. Participants will gain insights into concepts and methods to develop predictive models that allow the optimization of manufacturing processes and have the opportunity to present their research during a poster session.
Date: 23rd June 2023
Venue: The Sargent Centre for Process Systems Engineering
Imperial College London
Roderic Hill Building
South Kensington Campus
London SW7 2BB
Speakers
Presentations
Sequential model-based design of experiments when someparameters are not estimable
Keynote presentation: Kim McAuley, Professor Queen's UniversityCanada
Adoption of MBDoE approaches into new product developmentworkflows
Salvador García-Muñoz, Senior Engineering Advisor, Eli Lilly & Co
Partial least squares: Balancing accuracy with robustness andincorporating probabilistic predictions
Ruth Misener, Professor, Imperial College London
Model based design of experiments in autonomous modelidentification platforms: Recent developments and openchallenges
Federico Galvanin, Associate Professor, UCL
Recent developments in effort based methods for optimal androbust experimental campaigns
Benoit Chachuat, Professor, Imperial College London
Tracking MBDoE research at University of Padova: Results,applications and open challenges
Fabrizio Bezzo, Professor, University of Padova
Model-based design of experiments for automated modelconstruction
Antonio del Rio Chanona, Lecturer, Imperial College
DoE: Enabling model-based design of experiments in thePyomo ecosystem
Alexander Dowling, Assistant Professor, University of Notre Dame
Far from ideal: Exploring MBDoE for time consuming experimentswith strong uncontrolled uncertainties (and limited understanding)
Federica Cattani, Technical Expert, Syngenta & Enrico Sangoi,Researcher, UCL
Applying design of experiments as a collaborative tool for APIprocess development experimentation
Brian Taylor, Statistician, Astra Zeneca
Bringing Bayesian optimisation to high throughput experimentationas a tool for chemical synthesis
Daniel Rodriguez, API Process Modeller – Senior Scientist, Pfizer
Poster session
POSTER SESSION
The Symposium will feature a poster session offering all participants the opportunity to present and discuss their research work or new approaches in areas related to the workshop theme including modelling, optimisation and simulation.
The session encourages networking and discussion amongst peers, allowing poster presenters to gain valuable feedback from experts and peers. Students are particularly encouraged to submit poster abstracts for consideration.
Suggested themes for posters: Modelling, Optimisation and Simulation, Chemical and Bioprocess Engineering, Process dynamics and control, Data-Driven Modelling and Optimisation
Molecular Modelling, Simulation and Design Numerical Analysis, Methods and Tools, Operations Research. Energy Systems, Product/Process design, Digitalisation and Industry 4.0, Process operations and automation, Supply chain optimisation, Machine learning for PSE.
Poster Submission Information
Authors should submit a short abstract of a maximum of 300words that describes the main contributions of the poster via email to sargent.centre@imperial.ac.uk with the email subject name as “Poster: Author”. Poster abstracts should be sent no later than 28th May 2023.
At least one presenter per accepted poster must register for the workshop.
Submitted abstracts will be judged on their significance, originality and methodological quality. Authors of accepted poster proposals will be informed by email within one week of submitting an abstract and provided instructions for preparing the posters.
Poster prizes
First and second prizes will be awarded to the best and runner up poster presentations.
Poster printing
We are pleased to offer a free printing service of A1 posters for all poster presenters provided that a PDF A1 poster is submitted by 9th June 2023