Dr Nitish Chooramun
Lecturer
Department of Engineering & Computing , School Of Architecture, Computing And Engineering
Dr Nitish Chooramun is a lecturer in the Computer Science and Digital Technologies department. He has taught at multiple levels in computing programmes at UEL and has supervised numerous undergraduate and postgraduate project students.
Areas Of Interest
- Multi-Agent Systems
- Machine Learning and Deep Learning
- Intelligent Systems
- Internet of Things
OVERVIEW
Dr Nitish Chooramun has many years of experience both in academia and industry and has participated in numerous conferences and projects in the UK and overseas.
CURRENT RESEARCH
His research interests include Intelligent Systems, evacuation dynamics, Multi-Agent Systems and Internet of Things (IoT). He has participated in multiple funded projects, including EU projects and is actively supervising MPhil/PhD students. Moreover, he has worked on the development of algorithms for representing pedestrian movement and behaviours in a variety of environments. He has authored journal papers, conference papers and book chapters within these research domains.
MODULES TAUGHT
- CN4001 – Software Development
- CN4003 – Web Technologies
- CN5004 – Advanced Programming
- CN5005 – Data Structures and Algorithms
- CN5006 – Web and Mobile Application Development
- CN5032 – Native Mobile Application Development
TEACHING
BSc (Hons) Computer Science
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BSc (Hons) Computer Science (Web and Mobile Technologies)
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Apprenticeship Digital and Technology Solutions Professional Level 6 BSc (Hons)
We offer a highly practical work-based course that will prepare you for a career in computing. We have Academy status with industry leaders Microsoft and CompTIA.
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Full publications list
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- Automatic Translation Between Kreol Morisien and English Using the Marian Machine Translation Framework Informatics. 12 (1), p. Art. 16. https://doi.org/10.3390/informatics12010016
- A Comprehensive Review of Mobile User Interfaces in mHealth applications for elderly and the related ageing barriers Universal Access in the Information Society. 23 (4), pp. 1613-1629. https://doi.org/10.1007/s10209-023-01011-z
- Applicability of Federated Learning for Securing Critical Energy Infrastructures in: Daneshvar, M., Mohammadi-Ivatloo, B., Zare, K. and Anvari-Moghaddam, A. (ed.) IoT Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks. Academic Press, pp.137-157
- An ICT architecture for Smart Local Councils: a Mauritian case study International Journal of Managing Information Technology. 15, p. 2423–2433. https://doi.org/https://doi.org/10.1007/s41870-023-01280-0