Dr. Abdulrahman Azab Mohamed is a visionary researcher in High-Performance Computing (HPC) 🔬, Cloud Federation ☁️, and Data Infrastructure 🔐. He earned his Ph.D. from the University of Stavanger, Norway 🇳🇴, and now serves as Senior Advisor at Sigma2 AS, NeIC, and Science Support Specialist at EuroHPC LUMI 🌍. With 30+ publications 📝 and leadership in major European digital infrastructure projects 🇪🇺, he excels in secure data sharing, meta-scheduling, and reproducibility. Proficient in tools like Docker 🐳, Kubernetes ☸️, and Python 🐍, Dr. Azab is shaping the future of sustainable, federated scientific computing worldwide 🚀.
Dr Abdulrahman Azab Mohamed, University of Oslo & Sigma2/Norwegian Research Infrastructure Services, NRIS, Norway
Profile
GOOGLESCHOLAR
🎓 Education
Dr. Abdulrahman Azab Mohamed holds a Ph.D. in Information Technology 🎓 from the University of Stavanger, Norway 🇳🇴, where he developed a novel meta-scheduling architecture for Grid and Cloud federated systems. He earned his Master’s in Automatic Control Systems Engineering ⚙️ from Mansoura University, Egypt 🇪🇬, focusing on semantic Grid and automated virtual organizations. His academic journey began with a B.Sc. in Electronics and Computer Systems Engineering 💻📡, where he graduated top of his class 🥇 with a stellar GPA and deep specialization in computational systems. His foundation blends engineering precision, computational theory, and applied infrastructure innovation.
💼 Experience
Dr. Abdulrahman Azab Mohamed has over 25 years of multifaceted experience across academic 🎓, research 🧪, and industry 💼 domains. Currently serving as Senior Advisor at Sigma2 AS 🇳🇴, he leads initiatives in HPC 🖥️, AI cloud ☁️, and sensitive data infrastructure 🔐. He has held key roles at EuroHPC LUMI 🌍, NeIC 🚀, and the University of Oslo 🏫, managing large-scale digital infrastructure and international collaborations. With hands-on leadership in bioinformatics 🔬, grid/cloud computing ⚙️, and software engineering 💻, Dr. Azab’s career spans strategic planning, technical innovation, and e-science advancement on a global scale 🌐.
📘 Book Chapters
Dr. Abdulrahman Azab Mohamed 📘 has significantly enriched the field of distributed computing and HPC through impactful book contributions. He co-edited “Nordic e-Infrastructure Tomorrow 📡” (Springer, 2025), presenting pioneering insights from NeIC 2024 on federated e-infrastructure across the Nordics 🌍. His book “HiMan 📊” introduces a peer-to-peer grid framework revolutionizing computational collaboration. In “STROLL 🔄”, co-authored with Hein Meling in Grid Computing (Intech), he outlines scalable task deployment models for grid systems. These works reflect Dr. Azab’s commitment to decentralized, secure, and efficient computing environments, offering practical frameworks and visionary architectures for the global scientific and research community 🌐.
💻 Technical Skills
Dr. Abdulrahman Azab Mohamed possesses a robust suite of technical skills, bridging software development 💻, HPC system design ⚙️, and cloud computing ☁️. He is proficient in languages like C++, Java, Python, R, and VB.Net 🧠, with hands-on experience in distributed systems, MPI/OpenMPI, MapReduce, and gRPC 🔗. His expertise spans HPC schedulers (SLURM, PBS, HTCondor), meta-schedulers (UNICORE), and container technologies like Docker 🐳, Kubernetes ☸️, and OpenShift. He manages cloud platforms including OpenStack and Azure 🌐 and excels in data management, semantic interoperability, and parallel code optimization 🧬. With FitSM certifications and strong leadership 🧑💼, his contributions are both technical and strategic.
🔬 Research Focus
Dr. Abdulrahman Azab Mohamed’s research is centered on advancing High-Performance Computing (HPC) 💻, Cloud Federation ☁️, and Secure Data Infrastructure 🔐 to enable scalable, efficient, and privacy-aware scientific computing. His expertise spans meta-scheduling algorithms ⏱️, containerized computing with Docker 🐳, and sensitive biomedical data management 🧬. His contributions include variant calling accuracy in genomics 🧫, cybersecurity in multistage cloud attacks 🔒, and peer-to-peer scheduling in grid systems 🌐. Dr. Azab’s interdisciplinary focus integrates AI, distributed systems, and reproducible science 🧠🛰️, empowering data-driven research across domains like bioinformatics, medical diagnostics, and federated cloud platforms 🌍.
📚 Publication Top Notes
Accuracy and efficiency of germline variant calling pipelines for human genome data
A finite state hidden markov model for predicting multistage attacks in cloud systems
Enabling docker containers for high-performance and many-task computing
Serum hepcidin levels in Helicobacter pylori-infected children with iron-deficiency anemia: a case–control study
An adaptive decentralized scheduling mechanism for peer-to-peer desktop grids
Evaluation and benchmarking of singularity mpi containers on eu research e-infrastructure
A pure peer-to-peer desktop grid framework with efficient fault tolerance