Dr Nitish Chooramun


NameDr Nitish Chooramun
ORCIDhttps://orcid.org/0000-0002-2903-1519
Job titleLecturer
Email addressn.chooramun@uel.ac.uk
Research instituteArchitecture, Computing & Engineering

Research outputs

Real-Time Customer Emotion Analysis in E-Commerce based on Social Media Data: Insights and Opportunities

Suresh, M. M., Chooramun, N. and Sharif, S. 2023. Real-Time Customer Emotion Analysis in E-Commerce based on Social Media Data: Insights and Opportunities. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391602

Implementing a Chatbot Music Recommender System Based on User Emotion

Mathew, N,, Chooramun, N. and Sharif, S. 2023. Implementing a Chatbot Music Recommender System Based on User Emotion. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391771

A Comprehensive Review of Mobile User Interfaces in mHealth applications for elderly and the related ageing barriers

Ramdowar, H., Khedo, K, K. and Chooramun, N. 2023. A Comprehensive Review of Mobile User Interfaces in mHealth applications for elderly and the related ageing barriers . Universal Access in the Information Society. In Press. https://doi.org/10.1007/s10209-023-01011-z

An ICT architecture for Smart Local Councils: a Mauritian case study

Gobin-Rahimbux, B., Heenaye-Mamode Khan, M., Cadersaib, Z., Cheerkoot-Jalim, S., Chooramun, N., Gooda Sahib-Kaudeer, N., Kishnah, S. and Ahku, Y. 2023. 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

Applicability of Federated Learning for Securing Critical Energy Infrastructures

Beeharry, Y., Bassoo, V. and Chooramun, N. 2023. 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
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