27 March 2024

Bayesian optimization and design of experiments

Organised by:

SCI

Online webinar 15.30 – 16.30

Registration Closed

This event is no longer available for registration.

Synopsis

Bayesian optimization is a popular machine learning-based approach for optimizing black-box functions, with successful applications including hyperparameter tuning of machine learning algorithms, design of engineering systems, and sensor set selection. After introducing Bayesian optimization, we present some joint research with the BASF Data Science for Materials & Chemistry teams. With BASF, we’re interested to solve Bayesian optimization challenges which may simultaneously exhibit: multiple objectives, mixed-feature spaces, asynchronous decisions, large batch sizes, input constraints, multi-fidelity observations, hierarchical choices, and costs associated with switching between experimental points. We discuss the machine learning contributions that we’ve found useful towards achieving these goals.


Speaker

Professor Ruth Misener

Imperial College London

Professor Ruth Misener is the BASF/RAEng Research Chair in Data-Driven Optimisation (2022-27) at the Imperial Department of Computing. She previously held an EPSRC Early Career Fellowship (2017-22) and an RAEng Research Fellowship (2012-17). Foundations of her research are in numerical optimisation and computational software. Her applications focus on optimisation challenges arising in industry, e.g. scheduling in manufacturing or experimental design in chemicals research. Ruth also works at the interface of operations research and machine learning. Ruth received the 2017 Sir George Macfarlane Medal as the overall winner of the RAEng Engineers Trust Young Engineer of the Year Award.


Programme
Accessibility Grants

SCI accessibility grants are available to support SCI members with disabilities, long term health conditions, those who require a carer, and members who are nursing parents to attend SCI events. Download an application form to apply for a grant.


Fees
This is a free event. All registrations will automatically receive a confirmation within 24 hours of registering for the event. Should you not receive written confirmation of your booking, please email conferences@soci.org.

Become an SCI Member and save on this and future events

See Membership Options

Sign up as an Event Member to join this event. SCI Full or Student Members receive discounts on event registrations


Booking Process/Deadlines

Booking terms and conditions


Contact

Conference Team

Tel: +44 (0)20 7598 1561

Email: conferences@soci.org