My current area of research is cybersecurity. I am currently working with professors Niall Adams and Mark Briers on the proposition of statistical methods for the development of novel, robust, adaptive, artificial intelligence (AI) solutions in order to proactively combat cyber threats. I am exploring and developing AI-based technologies with the goal of using the most appropriate AI technology to reduce the incentives of attackers.
Before joining Imperial College London, I was a Research Associate at The Alan Turing Institute under the supervision of Andrew Duncan, working on the intersection between machine learning methods and nuclear power management.
Helfer Hoeltgebaum H, Adams N, Fernandes C, 2021, Estimation, forecasting and anomaly detection for nonstationary streams using adaptive estimation, Ieee Transactions on Cybernetics, ISSN:1083-4419, Pages:1-12
Adams N, Plasse J, Helfer Hoeltgebaum H, 2021, Streaming changepoint detection for transition matrices, Data Mining and Knowledge Discovery, ISSN:1384-5810
et al., 2020, Inference of COVID-19 epidemiological distributions from Brazilian hospital data, Journal of the Royal Society Interface, Vol:17, ISSN:1742-5662, Pages:20200596-20200596