Dr Abdulrahman Azab Mohamed | Computational Materials Science | Best Researcher Award

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

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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

Mr Muhammad Abdul Moiz | Computational Materials Science | Best Researcher Award

Mr. Muhammad Abdul Moiz is a dynamic researcher in materials science and engineering , currently pursuing a dual Erasmus Mundus M.Sc. in Functional Advanced Materials Engineering with AI for Sustainability at TU Darmstadt and Grenoble INP . Graduating Magna Cum Laude from IST Islamabad, he specializes in photocatalysis, solidification modeling, DFT, and sustainable materials . With hands-on experience at Saint-Gobain, NESPAK, and BMW, and skills in Python, COMSOL, CASTEP , he bridges theory and simulation for advanced applications. His 6+ international publications reinforce his profile as a future leader in energy-efficient, AI-driven material innovation .

Mr Muhammad Abdul Moiz, TU Darmstadt, Pakistan

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Experience 

Mr. Muhammad Abdul Moiz brings diverse research and industry experience across Europe and Asia. As a Research Assistant at TU Darmstadt , he works on LAMMPS simulations and metadynamics for cementitious materials . At Saint-Gobain/SIMaP France , he led FE modeling and sintering studies for refractory ceramics . Previously at NESPAK , he supervised renewable energy projects and biogas systems. His industrial internships at BMW and Pakistan Aeronautical Complex enriched his skills in corrosion analysis, SEM, and mechanical testing. His toolkit includes COMSOL, Python, AutoCAD, and MATLAB, showcasing strong technical depth .

Technical Skills

Mr. Moiz is equipped with a robust suite of technical proficiencies across simulation platforms including Abaqus CAE, COMSOL Multiphysics, Ansys, MATLAB, and MOOSE . He excels in materials design tools like CASTEP and Materials Studio . As a skilled programmer, he works fluently with Python, C++, and Scikit-learn . His additional toolkit includes AutoCAD, LaTeX, OriginPro, and Microsoft Office . Personally, he thrives in structured problem-solving, data documentation, conflict management, and analytical reasoning . These interdisciplinary strengths position him as a versatile researcher for advanced computational materials and sustainable engineering applications .

Research Focus

Mr. Muhammad Abdul Moiz’s research focuses on computational and experimental optimization of semiconductor materials such as transition metal-doped ZnO for photocatalysis, band gap tuning, and energy applications . Using DFT+U, ab initio methods, and rapid synthesis techniques, he explores how dopants influence optical and electronic behavior in nanomaterials . His work enhances visible light activity, improves dye degradation, and supports green technologies through material innovation. With publications in Materials Today Communications and Chemical Physics Letters, his aim is to advance sustainable materials for solar, environmental, and optoelectronic uses .

Publications

Optimization of Electronic and Optical Properties of Transition Metal Doped ZnO By DFT+U Method and Supported by Experimental Findings
Authors: Muhammad Abdul Moiz
Journal: Materials Today Communications, 2022

Band Gap Engineering of ZnO via Transition Metal Doping: An Ab Initio Study
Authors: Muhammad Abdul Moiz, Abdullah Mumtaz, Muhammad Salman, Syed Wilayat Husain, Abrar H. Baluch, Muhammad Ramzan
Journal: Chemical Physics Letters, 2021

Activating ZnO-Based Hierarchical Particles for Visible Light Dependent Photocatalytic Performance via Cr-Incorporated Rapid Chemical Synthesis
Authors: Muhammad Abdul Moiz
Journal: Crystal Research and Technology, 2021

Enhancement of Dye Degradation by Zinc Oxide via Transition-Metal Doping: A Review
Authors: Muhammad Abdul Moiz, Abdullah Mumtaz, Muhammad Salman, Hifsa Mazhar, Muhammad Abdul Basit, Syed Wilayat Husain, Muhammad Ramzan
Journal: Journal of Electronic Materials, 2021