Mohammed Shambakey

As a researcher, I am a member of the National HPC Grid, enabling access to HPC and cloud utilities across Egyptian universities. My work involves performance analysis and optimization of scientific applications like Quantum_Espresso, Comsol, and Ansys.

My primary responsibility was designing analytical workflows to support Geo-science research. This involved importing various data models into Rasdaman Geoserver and contributing to end-to-end analytical workflow design.

My research focused on Big Data Algorithms, Infrastructure, Middleware, and Tools. I designed Big Data workflows for analytics across various repositories and utilized open-source tools like NiFi and Docker for orchestration.

As an Assistant Researcher, I contributed to the Knowledge Based Systems and Robotics Department. My responsibilities included various research tasks within the department.

My PhD research involved modifying real-time schedulers (G-EDF, G-RMA) of ChronOS and adding real-time locking protocols (OMLP, RNLP) using C. I also implemented contention managers for software transactional memory (RSTM) using C++.

I was a member of the network team, responsible for maintaining the network infrastructure and mail server. This role ensured the smooth operation of critical IT services for the institution.

My research assistant role involved implementing a grid computing environment using Globus. This environment was specifically designed to control a research robot.

I worked as a Computer Engineer within the Faculty of Medicine. My responsibilities included providing technical support and managing computer systems for the faculty.

Completed a Ph.D. in Computer Engineering with a dissertation on "Real-Time Software Transactional Memory: Contention Managers, Time Bounds, and Implementations." The research focused on advanced topics in real-time systems and concurrency control.

Graduated with a Bachelor of Science in Computer and Systems Engineering. The graduation project was on Media Conference and received an "Excellent" grade.