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Tuesday 24th November 2020

A Research Conference of the Cantab Capital Institute for the Mathematics of Information.

Please note: This workshop will now take place virtually and is likely to run 12:30 - 17:00, the online Programme will be updated accordingly.

Background

The Cantab Capital Institute for the Mathematics of Information (CCIMI) is pleased to announce its fourth annual academic conference, which will focus on the academic interactions taking place related to Mathematical Foundations of Optimisation in Data Science.

Launched in 2016, CCIMI accommodates research activity on fundamental mathematical problems and methodology for understanding, analysing, processing and simulating data. Data science research performed in the Institute is of the highest international level, aiming to extract the relevant information from large and high-dimensional data with a predictable certainty.

This event follows previous successful academic and industrial engagement events, which focused on different aspects related to the mathematics of information.

Aims and Objectives

This event will bring together those academics working to advance data science and will provide an update on the research and collaborations taking place at CCIMI, associated challenges and other potential collaborative opportunities, as well as highlighting projects being developed elsewhere related to data analysis.
The provisional programme is available and talks will be likely to cover:

  • Applications of optimisation methods in engineering and science

  • Algorithm design, analysis and implementation for linear and nonlinear non convex smooth optimisation

  • Regularisation

  • Optimisation for machine learning.

There will be a session for shorter “elevator pitches” from next generation researchers, who will also have the opportunity to present more detail about their work in a breakout room session.

This event will be of interest to participants including social scientists; physicists; engineers; biomedical scientists as well as those working in statistics; pure, applied and computational analysis; quantum computing; cryptography; communication and security;  and those from data processing.

Registration and Venue

Attendance is free of charge. To register and for further information, please follow the registration link in the left hand panel.

Talks will be aimed at academics, and a mathematical background will be assumed, however, attendees from industry and the public sector are welcomed. 

The workshop will take place virtually via Zoom.
 

In Collaboration with