Donghyun Kim | Software Engineering | Best Researcher Award

Published on by Mechanics Awards

Mr. Donghyun Kim | Software Engineering | Best Researcher Award

PhD student | Eul-Ji University | South Korea

Donghyun Kim is a highly accomplished researcher and senior associate at PricewaterhouseCoopers Consulting, specializing in advanced artificial intelligence applications, large language models, and LLMOps, with extensive expertise in computer vision, image processing, deep learning, and AI-driven data valuation. He has led and contributed to cutting-edge projects in segmentation, classification, one-class learning, image generation, super-resolution, colorization, 3D reconstruction, and AI agent development. Donghyun earned his Master’s and Bachelor’s degrees in Electronics and Information Engineering from Korea University, where his research focused on 3D skin surface reconstruction from single images using illumination correction and conditional generative adversarial networks for haptic tele-palpation. His research experience spans academia and industry, including senior research roles at Synapse Imaging where he headed the AI team, and visiting researcher positions at the University of Paris-Est, Créteil, focusing on rehabilitation technologies for Parkinson’s disease and gait cycle analysis. He has also worked on multi-target tracking, random finite sets, and advanced filtering techniques in 3D information processing. His publications demonstrate high-impact contributions in AI-driven imaging, tactile surface restoration, and accurate depth estimation for dynamic haptic applications, reflecting a strong commitment to interdisciplinary innovation, technological development, and practical implementation across healthcare, imaging, and AI systems.

Profile: Orcid

Featured Publications:

Karam Khairullah | Software Engineering | Best Researcher Award

Published on by Mechanics Awards

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.

Profile: Orcid

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,