Consultant Engineer @ Technical consultancy to projects and bids in vision & sensor surveillance, machine learning, artificial intelligence, and data fusion/analysis in a variety of applications in defense/military, space, and industrial sectors. Technical leadership and management of bids. Contributing to innovations in addition to the maturation of Roke's technologies (using languages such as Google Go, Python, MongoDB and C++) Project management, customer engagement and business development. From July 2014 to Present (1 year 6 months) Scientist - Medical Image Analysis Research @ As a scientist in the in Image Analysis Research team, my responsibilities are divided between research, development and leading research projects within the R&D department. In addition to maintaining external academic and clinical collaborations, supervision of MSc students, interns and PhD projects. My work involves hands-on research and development to create prototypes of machine learning and image analysis solutions to particular clinical problems in various medical image modalities, such as CT, MRI, Ultrasound etc. My responsibilities also include, designing, programming, and testing new quantitative analysis methods and features in image analysis and machine learning for the inclusion into our in-house technology libraries (using C++, MATLAB, Python etc.) to process and analyse large datasets. I also provide recommendations for future R&D topics, identify and evaluate new scientific concepts, and innovate to contribute to the IP assets of the company. From September 2011 to June 2014 (2 years 10 months) Edinburgh, United KingdomResearch Associate @ Developing automated and quantitative methods of detecting and measuring nerve fibers in confocal corneal microscope (CCM) images. Working with one of the leading cross-disciplinary research teams in medical technology using Corneal Confocal Microscopy to quantify and diagnose Diabetic Peripheral Neuropathy. Taking the lead role in achieving the aims of the project by an appropriate definition of research directions and developing methods of analyzing 2D/3D microscope images to provide an automatic analysis equivalent or superior to the current manual methods. The challenge involves creating robust computer vision and machine learning solutions to real-world problems, acquiring an approval from the US Food and Drug Administration and translating the research software (C++, QT, and MATLAB) into a commercial platform through commercial collaboration. From February 2009 to August 2011 (2 years 7 months) Manchester, United KingdomAlgorithm Developer @ Algorithm research and development for in-silico drug discovery projects. As a member of the Quantitative Analysis team I worked with a multidisciplinary research groups to develop a computer-based in-silico drug discovery platform by predicting how target proteins will interact with candidate compounds. Responsibilities included: design, development and implementation of pattern recognition and machine learning algorithms in C++ for large biological and chemical data analysis From April 2006 to January 2009 (2 years 10 months) Newcastle upon Tyne, United KingdomAlgorithm Developer @ The Interoperable Smart Card Research Project on Biometrics and Fingerprint Recognition (supported by the Office of Deputy Prime Minister) I was driving the technical effort to design and develop a portable computer vision and machine learning solution for biometric fingerprint recognition systems. This was implemented in C. This work has also resulted in several international conference and journal publications. From February 2005 to August 2005 (7 months) Newcastle upon Tyne, United Kingdom

PhD, Signal Processing, Distinction @ University of Newcastle-upon-Tyne From 2005 to 2008 BEng (HONS), Electronic Communications, First Class - Distinction (85%) @ University of Newcastle-upon-Tyne From 2003 to 2005 Mohammad Dabbah is skilled in: Image Processing, Computer Vision, Signal Processing, Pattern Recognition, Machine Learning, Matlab, Algorithms, Medical Imaging, C++, Image Analysis, LaTeX, Linux, Python, Mathematical Modeling, R&D