Machine Learning for Combustion MeetingInfo Location Attendee Categories Contact More Info Event Information
DescriptionOrganising Committee: Amin Paykani (QMUL), Stelios Rigopoulos (ICL), Temistocle Grenga (Soton) Event details The field of Machine Learning (ML) for combustion research is rapidly advancing, with the UK playing a pivotal role in integrating ML and combustion science, as demonstrated by the increasing volume of research in this area. Machine Learning for Combustion Meeting is co-organised by research groups from Queen Mary University of London, Imperial College London, and the University of Southampton, and provides a forum to present recent advances in ML for combustion science and engineering in (but not limited to) the following areas:
Event Location
Attendee CategoriesCIBS Student Member
Additional ItemsMore InformationThe one-day meeting organised under the auspices of Combustion Institute British Section (CIBS) will feature two keynotes and ten invited talks from leading researchers in ML for combustion and wider research community. The event will conclude with a panel discussion involving key stakeholders in the field. In addition, early career researchers who are interested in presenting their work as a contributed poster are invited to submit an abstract of 200 to 300 words before the 20th of November 2024. Abstracts should be sent as a PDF through email to [email protected] and the authors of accepted abstracts will be notified by 25th of November 2024. https://sites.google.com/view/ml4combustion/home | |||||||||||||||
Contact the university
Queen Mary University of London
Mile End Road
London E1 4NS
+44 (0) 20 7882 5555
