Dr. Karam Khairullah | Software Engineering | Best Researcher Award
Lecturer | University of Mosul | Iraq
Dr. Karam Khairullah Mohammed is an accomplished electrical engineer whose scholarly work bridges power electronics, renewable-energy systems, and advanced optimization for energy efficiency. He earned his PhD in Electrical Engineering from Universiti Teknologi Malaysia, following a master’s degree in Control Systems from Universiti Teknikal Malaysia Melaka where he was recognized as the best postgraduate student, and a bachelor’s degree in Power and Machines Engineering from the University of Mosul. His research centers on meta-heuristic and bio-inspired algorithms, artificial intelligence–driven control techniques, PV-grid integration, MPPT design, hybrid energy storage, DC–DC converter topologies, wireless-power-transfer for EVs, and power-system protection. Dr. Mohammed’s publication record reflects both breadth and depth in high-impact journals and conferences, including leading contributions such as “A novel hybrid global maximum power point tracking method based on partial shading mitigation for grid connected photovoltaic systems” in Computers and Electrical Engineering, “Improved Rat Swarm Optimizer Algorithm-Based MPPT under Partially Shaded Conditions and Load Variation for PV Systems” in IEEE Transactions on Sustainable Energy, “Hybrid Global Maximum Power Tracking Method with Partial Shading Detection Technique for PV Systems” in IEEE Journal of Emerging and Selected Topics in Power Electronics, “Improved Snake Optimizer Algorithm-Based GMPPT with a Fast Response to the Load Variations under Different Weather Conditions for PV Systems” in IEEE Transactions on Industrial Electronics, “Maximum Power Point Tracking Based on Adaptive Neuro-Fuzzy Inference Systems for a Photovoltaic System with Fast Varying Load Conditions.
Featured Publications:
Mohammed, K. K., Mekhilef, S., Mubin, M., Alnaib, I. I., Jerbi, H., & Seyedmahmoudian, M. (2025). A novel hybrid global maximum power point tracking method based on partial shading mitigation for grid connected photovoltaic systems. Computers and Electrical Engineering, 120, 110619.
Alnaib, I. I., Alsammak, A. N., & Mohammed, K. K. (2025). Brushless DC motor drive with optimal fractional-order sliding-mode control based on a genetic algorithm. Electrical Engineering & Electromechanics, 2025(2), 03.
Saeed, Z. R., Ibrahim, N. F., Zainol, Z. B., Mohammed, K. K., & Hazra, A. (2025). A hybrid improved IRSO–CNN algorithm for accurate recognition of dynamic gestures in Malaysian Sign Language. Journal of Electrical and Computer Engineering, 2025, 6430675.
Naser, T. A., Khairullah Mohammed, K., Ab Aziz, N. F., Elsanabary, A., Kamil, K. B., & Mekhilef, S. (2024). A fast-tracking MPPT-based modified coot optimization algorithm for PV systems under partial shading conditions. Ain Shams Engineering Journal, 15, 102967.
Belmadani, H., Bradai, R., Kheldoun, A., Mohammed, K. K., Mekhilef, S., Belkhier, Y., & Oubelaid, A. (2024). A new fast and efficient MPPT algorithm for partially shaded PV systems using a hyperbolic slime mould algorithm. International Journal of Energy Research, 48, 5585826.
Naser, T. A., Ab Aziz, N. F., Mohammed, K. K., Kamil, K. B., & Mekhilef, S. (2024). A novel hybrid GMPPT method for PV systems to mitigate power oscillations and partial shading detection. Renewable Energy, 214, 121520.
Darvish, P., Hossain, A., Mekhilef, S., Tey, K. S., Mubin, M. B., Yin, J., Akhtar, M. M., Mustafa, A., Khalid, H., Imtiaz, T., … Mohammed, K. K. (2024). Dual-receiver based naturally decoupled coil structure with improved rotational misalignment tolerance for WPT systems. IEEE Transactions on Transportation Electrification, 10, [article number].
Naser, T. A., Mohammed, K. K., Ab Aziz, N. F., Kamil, K. B., & Mekhilef, S. (2024). Improved coot optimizer algorithm-based MPPT for PV systems under complex partial shading conditions and load variation. Energy Conversion and Management: X, 24, 100565.
Mohammed, K. K., & Mekhilef, S. (2024). Improved snake optimizer algorithm-based GMPPT with a fast response to the load variations under different weather conditions for PV systems. IEEE Transactions on Industrial Electronics, 71,