Ahmed Ezzat, MS,
Experienced Senior System Architect with a demonstrated history of working in the information technology and services industry. Skilled in Software Architecture, Programming , Requirements Analysis, Computer Science, and Databases. Strong engineering professional with a Master of Science – MS focused in Computer Engineering from Cairo University.
Published work:
1- GDD: Geometrical driven diagnosis based on biomedical data
Egyptian Informatics Journal,Volume 21, Issue 3,2020,Pages 183-190,ISSN 1110-8665,Abstract: Modern medical diagnosis heavily rely on bio-medical and clinical data. Machine learning algorithms have proven effectiveness in mining this data to provide an aid to the physicians in supporting their decisions. In response, machine learning based approaches were developed to address this problem. These approaches vary in terms of effectiveness and computational cost. Attention has been paid towards non-communicable diseases as they are very common and have life threatening risk factors. The diagnosis of diabetes or breast cancer can be considered a binary classification problem. This paper proposes a new machine learning based algorithm, Geometrical Driven Diagnosis (GDD), to diagnose diabetes and breast cancer with accuracy up to 99.96% and 95.8% respectively.Keywords: GDD; Medical diagnosis; Classification; Machine learning; Diabetes; Big data; Bioinformatics
2- Search space pruning by evolving probabilistic strategies
M. B. Fayek and A. Ezzat, “Search space pruning by evolving probabilistic strategies,” 2017 12th International Conference on Computer Engineering and Systems (ICCES), 2017, pp. 487-492, doi: 10.1109/ICCES.2017.8275357.
Experience:
Computational geometry engineer @GulfComms
System architecture engineer @ProSyLab
Senior Industrial Embedded System Engineer @VDIS
Light Syntax 