Dr Abdijalil Abdullahi Mohamed

Dedicated academic and researcher with a Ph.D. in Advanced Computer Networking, specializing in next-generation networking technologies, cybersecurity, and machine learning. Dr. Abdijalil Abdullahi Mohamed currently serves as Head of the Department of Information Technology at the Faculty of Computing, SIMAD University. He brings over a decade of experience in teaching, departmental leadership, and collaborative research, particularly in Software Defined Networking (SDN), Internet Governance, and Digital Public Infrastructure. His work contributes to the advancement of secure, scalable, and intelligent network systems across academic and applied settings. A prolific scholar, Dr. Abdijalil has published widely in reputable journals and co-led numerous projects in IoT, AI-powered systems, and 5G deployment. As a committed educator, he actively mentors undergraduate and postgraduate students and champions innovation through student-driven research on real-world problems. His academic contributions extend to supervising theses in emerging technologies, leading curriculum development, and shaping institutional digital strategies. Dr. Abdijalil’s vision is grounded in merging cutting-edge technologies with societal impact, fostering resilient, inclusive, and secure digital ecosystems in Somalia and beyond.

Artificial Intelligence, Cryptology, and Algorithm Design and Optimizations

• Pattern Recognition & Machine Learning
• Cryptology
• Algorithmic Complexity & Computability
• Numerical Analysis & Optimization Methods
• Secure System Design

• Computer Networks & Security, Information Systems Design, Emerging Technologies, Programming & Software Tools, Research Methods, Internet of Things, AI & Machine Learning

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1. Abdulle, H. (2025). A new mathematical model to improve encryption process based on Split-Radix Fast Fourier Transform algorithm. Frontiers in Computer Science. https://doi.org/10.3389/fcomp.2024.1479592
2. Abdulle, H. (2023). Breadth First Search Job Scheduler Based on Backpropagation Neural Network with Levenberg Marquardt Algorithm. 3rd Int’l Conference on Electrical, Computer and Energy Technologies (ICECET 2023), 1–12. https://ieeexplore.ieee.org/document/10389240
3. Abdulle, H. (2018). Fruit Feature Recognition Based on Unsupervised Competitive Learning and Backpropagation Algorithms. 4th Int’l Conference on Engineering, Applied Sciences, and Technology (ICEAST 2018), 21–33 https://ieeexplore.ieee.org/document/8434481