Bayes Centre - Turing @Edinburgh September Meetup

Bayes Centre - Turing @Edinburgh September Meetup

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Where the University of Edinburgh Turing Community Collaborate!

About this event

The Bayes Centre hosted virtual Turing@Edinburgh Seminar Series is intended to create the opportunity for local members of the Alan Turing Institute research community to interact, share experiences and explore multi-disciplinary AI and data science research opportunities.

This series of seminars have been created to showcase presentations on existing Edinburgh Turing Projects, with a focus on innovative and interdisciplinary technical research, creating awareness of research across the University and with the national Alan Turing Institute network.

The Format

12:15 - Welcome - Prof Michael Rovatsos, Director - The Bayes Centre, Professor of Artificial Intelligence - School of Informatics, Deputy Vice Principal of Research

12:20 - Presentation 1 – Managing Uncertainty in Government Modelling with Chris Dent, Professor of Industrial Mathematics in the School of Mathematics University of Edinburgh

12:50 - Presentation 2 - Global uncertainty risk factor qualification with data driven risk modelling & AI powered predictions with Dr Tiejun Ma , Reader in Business Informatics, theme leader for Business Application for Informatics, Centre for Intelligent Systems and Applications, University of Edinburgh.

13:20 - Networking

13:35 - Summary - Prof Michael Rovatsos.

13:45 - Close

Speaker Profiles

Chris Dent is Professor of Industrial Mathematics in the School of Mathematics. He joined the School of Mathematics as Chancellor's Fellow and Reader in September 2016, before being promoted in summer 2020. He was previously a Research Associate in the Institute for Energy Systems at Edinburgh (2007-9).

His principal research interests lie in decision support analysis in the energy, infrastructure and government sectors. Current projects include leading the Managing Uncertainty in Government Modelling project at the Alan Turing Institute, being Co-Director of the Centre for Energy Systems Integration with particular responsibility for coordinating interdisciplinary modelling, and consulting work including on electricity security of supply risk analysis and on electricity control room algorithms. From November 2020-July 2021 he is leading a Scottish Funding Council activity under the University's Data Driven Innovation programme on innovation to support post-Covid economic renewal and jobs.

In addition to his main appointment at Edinburgh, he is a Turing Fellow at the Alan Turing Institute, the UK's National Institute for Data Science and AI. In 2012 he won the IET Mike Sargeant Young Engineer Career Achievement Award, and he has also won a Durham University Award for Excellent in Research Impact.

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Dr Tiejun Ma is currently a Reader in Business Informatics, theme leader for Business Application for Informatics, Centre for Intelligent Systems and Applications, University of Edinburgh.

He was an Associate Professor in Risk Analysis within Centre for Risk Research and he worked at Imperial College London and University of Oxford. Dr Ma’s research focuses on risk analysis and decision-making using quantitative modelling of user’s behaviour with big data analysis techniques (e.g. individual's financial/cyber risk taking and decision behaviour) and fintech.

Dr Ma is also a member of the Risk Management Research and Thought Leadership Committee, of Faculty of Actuaries (IFoA). Recently, Dr Ma’s research projects with leading city industry partners have been twice awarded ‘Certificate of Excellence’ by InnovationUK and he won the Lenovo AI on Fintech Innovation Award (SuperComputing 2017).

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