A visionary entrepreneur and technology leader with over two decades of experience building and scaling businesses across Egypt, Italy, Vatican City, and the UAE. From founding MAS ERP — a full-scale enterprise resource planning platform — to serving as Cybersecurity Consultant for the IOR Bank of Vatican and leading Bel Trend as CEO, Michael has consistently demonstrated an extraordinary ability to bridge deep technical expertise with strategic business leadership. He holds a PhD in Computer Science specializing in Cybersecurity & AI, and has successfully delivered enterprise software to 50+ international clients including major hotel chains and industrial corporations. His career is defined by relentless innovation, cross-border impact, and a rare combination of academic excellence and real-world entrepreneurial execution.
IT: Designed and developed in-house ERP. Performed security investigations to detect & prevent threats and data leakage. Led enterprise-wide disaster recovery project. Implemented MAS Mini-ERP software. Implemented HR-Assistant. Designed and developed the company website.
Achieved the highest academic distinction by completing a rigorous PhD program specializing in the critical intersection of Cybersecurity and Artificial Intelligence. This elite qualification cements Michael's position as a visionary leader capable of applying cutting-edge academic theory to solve complex, real-world enterprise security and automation challenges.
Currently pursuing an advanced MBA to further refine executive leadership, strategic planning, and global market operations. This degree demonstrates a continuous commitment to continuous learning, directly bridging his profound technical expertise with top-tier corporate strategy and governance.
Graduated with an "Excellent" rating, establishing a deep foundational mastery of computer science principles, advanced software architecture, and secure system design. This foundational mastery served as the catalyst for his rapid ascent from software developer to Chief Executive Officer.
Initiated his formal postgraduate academic journey with a rigorous diploma program, distinguishing himself with an "Excellent" grade. This early academic success laid the groundwork for his extensive career in enterprise software and technology consulting.
Michael Lahzi Gaid Ibrahim's Lab
HeadLeading groundbreaking research in Cybersecurity, specializing in Secure Translation protocols using Fully Homomorphic Encryption (FHE) and AI Neural Networks.
This study introduces a 'refresh' function to reduce noise in encrypted layers, significantly decreasing computational time for secure translation without affecting quality.
A detailed implementation of an ERP integration system (specifically SAP ERP) for Quality Management within the heavy industrial ceramic sector.
This paper proposes a C# implementation of Seq2Seq algorithms, resolving activation function limitations through polynomial simplification.
An exploration of testing rates versus total cases in GCC countries, analyzing healthcare preparedness and testing volume correlation.
A review of the history and unique properties of Homomorphic Encryption, tracing its evolution from theoretical concept to practical construction.
Using the PRISMA methodology, this study reviews 250 papers on FHE schemes to identify efficient noise reduction strategies.
A comprehensive survey of Seq2Seq models (RNN, LSTM, GRU), locating the best implementation strategies for translation applications.
Foundational research proposing the combination of FHE with Seq2Seq networks to allow the translation of sensitive governmental data.