Georgy Urumov

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Computer Science and Engineering

Switchboard: +44 (0)20 7911 5000
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About me

Qualifications:

2023 Level 7 Special Study Supporting Learning in Higher Education

2022 MSc (Hons) Big Data Technologies; University of Wesminster - Distinction

2002 MSc (Hons) Finance and Economics; London School of Economics

2001 BSc (First Class Honours) Banking and International Finance; Bayes Business School

2018 BSc (Hons) Combined Stem; Open University

Short Summary

Research focus is on time series and forecasting. Cover both traditional econometric models and new machine learning techniques. My current research is focused on volatile and non-stationary data forecasting techniques with particular focus on Deep learning and Support Vector machines. 

Teaching

2023 Level 7 Special Study Supporting Learning in Higher Education

Research

https://westminsterresearch.westminster.ac.uk/item/vzq7v/clustering-...

https://ieee-is-2022.ibspan.waw.pl/Conference-program.pdf

Georgy Urumov and Panagiotis Chountas: Essay on Volatility Clusters and Time Series Prediction financial

Publications

For details of all my research outputs, visit my WestminsterResearch profile.