Fady Mohareb
Senior Lecturer
Cranfield Soil and Agrifood Institute
Cranfield University
United Kingdom
Biography
Dr. Mohareb is Head of the Bioinformatics Group, Agrifood, School of Energy, Environment and Agrifood.
Research Interest
Dr Mohareb's research focuses on the development and application of computational methods in order to unravel the complexity of biological systems. This involves the applications of machine learning and pattern recognition techniques to reveal hidden patterns in multivariate and high throughput datasets, as well as the application of the latest Web technologies, Big Data storage and Cloud Computing to provide means for managing and visualising large datasets.
Publications
-
Anastasiadi M, Mohareb FR, Redfern SP, Berry M, Simmonds MS & Terry LA (2017) Biochemical profile of heritage and modern apple cultivars and application of machine learning methods to predict usage, age, and harvest season, Journal of Agricultural and Food Chemistry, 65 (26) 5339-5356.
-
Estelles-Lopez L, Ropodi A, Pavlidis D, Fotopoulou J, Gkousari C, Peyrodie A, Panagou E, Nychas GJ & Mohareb F (2017) An automated ranking platform for machine learning regression models for meat spoilage prediction using multi-spectral imaging and metabolic profiling, Food Research International, 99 (1) 206-215.
-
Diez Benavente E, Ward Z, Chan W, Mohareb FR, Sutherland CJ, Roper C, Campino S & Clark T (2017) Genomic variation in Plasmodium vivax malaria reveals regions under selective pressure, PLoS ONE, 12 (5).
