Automated Web Based Integration System (ERP) of the Credit Guarantee Company (CGC)
Role Technical Team Leader.
Technologies/Tools J2EE, Struts, EJB2, OracleJDeveloper10g.
Description Working as a Team Leader, leading a team of 4 members responsible for producing UML class diagrams and detailed sequence diagrams for an automated web-based integration system (ERP) of the Credit Guarantee Company (CGC). CGC was mainly established to provide small businesses with loan guarantees. The system is composed of 8 subsystems (Finance/Accounting, Payroll, Fixed Assets, Credit Guarantees, Micro Credit Unit, Access Rights, Deposits, and Investment) and was created in accordance with UML standards. The system’s architecture is multi-tiered, built on J2EE standard and the MVC paradigm, and uses Oracle Database Server for the persistent layer with EJB, Struts for the control layer, and JSP for the presentation layer.
Nile Soft. Jan 2002 – May 2005 .
Mohamed Ghalwash is an Associate Professor of Artificial Intelligence at Ain Shams University and Zewail City of Science, Technology, and Innovation. His research focuses on interpretable machine learning for spatio-temporal pattern discovery, with applications in healthcare analytics, health behavior modeling, and decision support, drawing on prior research leadership at IBM and Temple University. He has supervised eight postgraduate students across Ain Shams University and Zewail City, with thesis topics spanning security applications, Bayesian structure learning, and explainable AI, and currently serves as co-PI on a three-year STDF-funded grant (2026–2029, 2,700,000 LE) developing AI-driven immunoinformatics approaches for Foot-and-Mouth Disease vaccine design.
Alongside his academic research, he brings more than ten years of software engineering leadership across senior roles at IBM, Proteinea, Raya Software, and Asset Technology Group, spanning technical team leadership, software architecture, and large-scale enterprise system delivery. This engineering background has also shaped his applied research, extending into machine learning for security and biotech domains, including cryptanalysis and AI-driven vaccine design.