Dr Gina Soopramanien

| Name | Dr Gina Soopramanien |
|---|---|
| Job title | MRU - Lecturer in Computer Science |
| Research institute | |
| Primary appointment | Mauritius - Computer Science |
| Email address | g.soopramanien@mdx.ac.uk |
| ORCID | https://orcid.org/0000-0002-4900-8316 |
| Contact category | Academic staff |
Biography
Biography Lecturer in Computer Science with expertise in IT and digital strategy, cybersecurity risk assessment, and data-driven technologies. My academic and professional interests focus on applied artificial intelligence and data-driven model to drive digital innovation and transformation. I combine strong industry-oriented experience supported by a commitment to higher education teaching, delivering applied computing and analytics using industry-relevant tools and methodologies.
Teaching Modules currently teaching at Middlesex University Mauritius – Campus Branch Middlesex University London •CST2550 Software Engineering and Management (Year 2) • PDE1821 Applications of Mathematics for Engineers (Year 1) UG Project Supervision: 8 (Currently) Modules taught at Middlesex University Mauritius – Campus Branch Middlesex University London •CST3340 Business Intelligence (Year 3) • CST1133 Foundations in Computing (Year 1) Modules taught at University of Mauritius • MA 2204(3) Numerical Analysis II /MA 2210(3) Computational Science II • MA 2104(3) Complex Analysis • MA 1201(1)/MA 1211(1) Mathematical Techniques II • MA 1203 (1) Mathematical Computing (Python Programming) • MA 1108 (1) Spreadsheet Modelling • MA 1208 (1) Advanced Spreadsheet Modelling & Simulation.
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Research outputs
A new analytical approach for the local radial point interpolation discretisation in space and applications to high-order in time schemes for two-dimensional fractional PDEs
Soopramanien, S.S.G., Thakoor, N., Tangman, D.Y. and Bhuruth, M. 2023. A new analytical approach for the local radial point interpolation discretisation in space and applications to high-order in time schemes for two-dimensional fractional PDEs. Engineering Analysis with Boundary Elements. 157, pp. 413-423. https://doi.org/10.1016/j.enganabound.2023.09.02111
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