EPSRC Centre for Doctoral Training Cloud Computing for Big Data


Mario Parreno

Education and industry background

Mario graduated as a Telecommunications Engineer from the Polytechnic University of Valencia. From January 2012 to September 2013, he was working as a Visiting Researcher at The University of Manchester in Parallelization of Maxwell’s equations (Finite–Difference Time–Domain methods), using parallel programming models such as SSE, AVX, OpenMP, MPI and CUDA.

From September 2013, he did an MPhil at The University of Manchester. The topic of his proposal was the development and implementation of an Additive Operator Splitting FDTD (AOS-FDTD) method.

Mario is currently a PhD student at the EPSRC Centre for Doctoral Training in Cloud Computing for Big Data at Newcastle University.

Research interests

His PhD is in the area of Fraud Detection Techniques for Emerging Mobile Payment Solutions. He is interested in building a fraud detection system capable of detecting a high number of card fraudulent transactions on mobile purchases, keeping a low false positive (FP) rate, using behavioural data to help in the decision making process.


Mobile Based Continuous Authentication Using Deep FeaturesParreno-Centeno, M. Moorsel, A.V. Guan, Y. - 2nd International Workshop on Embedded and Mobile Deep Learning (EMDL18) - 2016 

Smartphone Continuous Authentication Using Deep Learning Autoencoders - Parreno-Centeno, M. Moorsel, Castruccio, S. - 15th Annual Conference on Privacy, Security and Trust (PST) 

Consumer-facing technology fraud: Economics, attack methods and potential solutions - Ali, M.A. Azad, M.A. Parreno-Centeno, M. Hao, F. Moorsel, A.V. - Future Generation Computer Systems - 2019 

Unsupervised Machine Learning for Card Payment Fraud Detection - Parreno-Centeno, M. Moorsel, A.V. Guan, Y. - Risks and Security of Internet ans, CRiSIS 2019