Dr Fady Mohareb
Research Fellow
Location: Vincent Building, Cranfield Health, Cranfield Campus
E: f.Mohareb@cranfield.ac.uk
T: +44 (0) 7775 884779
Current activities
Dr Fady Mohareb is the Course Director of the MSc in Applied Bioinformatics and a member of the Cranfield Health’s Bioinformatics group. His primary research interest is the application of the latest Web technologies to facilitate data integration in systems biology research. This involves the development of Web-based interfaces for experimental data repositories, development of interactive web-based tools for data visualisation and exploratory analysis. Fady is currently working on the FP7-funded project Symbiosis-EU and his duties include:
- Development of Entity Attribute Value models (EAV) for managing experiment data.
- Design and implementation of data pre-processing software
- Development of mathematical models for prediction of freshness in food products
- Development of classification models for predicting spoilage in meat products stored under different storage conditions and temperature.
- Development of the Symbiosis Online Research Framework (SORF) for online data storage, sharing and analysis.
Background
Fady gained his degree in pharmaceutical sciences in 2002 from Cairo University. Shortly after, he joined the Technology Transfer department at Vacsera Co. for Biopharmaceutical Products in Egypt. In 2004, he joined Cranfield University to complete an MSc in Bioinformatics. He continued working at the Bioinformatics group at Cranfield Health as a Research Assistant then Research Fellow, working on the FP7-funded Symbiosis-EU project. In 2008, he was awarded a PhD under the supervision of Dr Conrad Bessant developing bioinformatics tools to facilitate Systems Biology research.
Selected publications
A comparison of artificial neural networks and partial least squares modelling for the rapid detection of the microbial spoilage of beef fillets based on Fourier transform infrared spectral fingerprints, E. Z. Panagou, F. Mohareb, A. Argyri, C. Bessant, G-J. Nychas, Food Microbiology, Volume 28, Issue 4, June 2011, Pages 782-790, ISSN 0740-0020, 10.1016/j.fm.2010.05.014.
Development of spoilage classification models using support vector machines and combined analytical methods, F.Mohareb, A. Grauslys, C. Bessant, E. Z. Panagou, G-J. Nychas, 12-16 September, 7th International conference Predictive Modelling of Food Quality and Safety, 2011, Dublin, Ireland.
Symbiosis: the novel “one-design-fits-all” database for heterogeneous systems biology data, F. Mohareb, C. Bessant, The European Conference on Computational Biology, 2008
Symbiosis: a Web-based framework for managing and analysing high throughput metabolomic data, F. Mohareb, C. Bessant, 11th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and 8th European Conference on Computational Biology ECCB, Stockholm, Sweden, June 2009.
Identification of Meat Spoilage from FTIR Data Using the Symbiosis Data Analysis Framework, F. Mohareb, M. Sattlecker, A. Argyri, E. Z. Panagou, G-J. E. Nychas, C. Bessant, EuroAnalysis 2009, Innsbruck, Austria.
The application of support vector machines and Fourier transform infrared spectroscopy to develop spoilage prediction models for beef fillets, F. Mohareb, Eighth International Conference of Computational Methods in Sciences and Engineering, Kos, Greece, 2010
Web-based management and visualisation of heterogeneous data using SORF, F. Mohareb, D. Winiarski, and C. Bessant, International Society of Computational Biology and 10th European Conference of Bioinformatics 2011 (ISMB-ECCB 2011), Vienna, Austria.
An artificial neural networks approach for the rapid detection of the microbial spoilage of beef fillets based on Fourier transform infrared spectroscopy data. A. Argyri, F. Mohareb, E. Panagou, C. Bessant, G-J Nychas. ICPMF 2009 - September 8-12, Washington D.C. USA.
