LMS Computer Science Colloquium 2024
The LMS Computer Science Colloquium is an annual event, which includes themed talks on a topical issue at the interface of mathematics and computer science.
The theme of this year's Colloquium is: Trends in Algorithm Design.
The Colloquium is organised by the LMS Computer Science Committee and is aimed at PhD students and post-docs, although others are welcome to attend, whether LMS members or not.
We will endeavour to upload the talks to the LMS YouTube channel - click 'subscribe' to be alerted when new videos are added.
Programme (all times in GMT)
Confirmed speakers:
Peter Kiss (University of Warwick)
$(1+\epsilon)$-Approximate Sub-Linear and Dynamic Matching
Christian Konrad (University of Bristol)
Streaming Algorithms, Communication Complexity, and the Maximum Matching Problem
Peter Davies-Peck (University of Durham)
The Distributed Lovász Local Lemma
Sagnik Mukhopadhyay (University of Birmingham)
Unified Algorithm Design in Modern Computational Models
Full list of speakers, titles and abstracts can be viewed here.
Full programme TBC.
Please note that speakers and timings can be subject to change.
Accessibility
The building currently has stepped access only to the raised ground floor and lower ground floor entrances.
An accessible toilet is located at the lower ground floor level.
Please see the LMS website for further details on accessibility
Registration
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To attend in person, please complete the registration form here.
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To attend remotely via Zoom, please complete the registration form here. You will receive the link to the meeting upon registration, as well as an automated reminder email sent 24 hours before the event is scheduled to start.
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Grants of up to £200 are available to parents and carers who wish to attend this event and require help towards caring costs. Please see the Caring Supplementary Grants page on the LMS website. Please submit your application no later than 15:00 on Monday 2 December. For any questions on Caring Grants, please contact caringgrants@lms.ac.uk.
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For all other queries, please contact lmscomputerscience@lms.ac.uk.