Rui Fagundes Silva | Software Engineering | Research Excellence Award

Published on by Global Mechanics Awards

Mr. Rui Fagundes Silva | Software Engineering | Research Excellence Award

Investigator at IVAR | Portugal

Mr. Rui Fagundes Silva is a Portuguese geologist and natural hazards researcher specialising in hydro-geomorphological processes, particularly landslides, with expertise in susceptibility modelling, rainfall-triggered threshold analysis, and monitoring of unstable slopes, actively contributing to scientific research, risk assessment, early warning systems, and emergency planning in volcanic island environments through his work with leading research institutions and geoscience organisations.

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Featured Publications

Maximilian Gehring | Software Engineering | Best Researcher Award

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Mr. Maximilian Gehring | Software Engineering | Best Researcher Award

Research Assistant at Technical University of Darmstadt | Germany

Mr. Maximilian Gehring is a distinguished German researcher and doctoral candidate at the Technical University of Darmstadt, specializing in the integration of digital technologies into construction logistics and intelligent infrastructure systems. His academic journey combines industrial engineering and civil engineering expertise with a strong focus on digital transformation, automation, and Building Information Modeling (BIM). Through his ongoing doctoral research, Further development of digital construction logistics: Design of a digital twin framework for automated construction logistics management, Gehring advances the field of smart construction by developing scalable frameworks that enhance data-driven decision-making and operational efficiency. His scholarly contributions include the publication IoT-altimeter in smart pallets for material tracking on multi-storey construction sites, which explores innovative Internet of Things solutions for improving material tracking and site logistics. In ConLogAI – Concept for an AI-enabled platform for construction logistics scheduling, he presents a robust artificial intelligence framework that optimizes scheduling and resource allocation in complex construction environments. His work Unlocking BIM Potential: Empowering Collaboration Through an Open Source-Powered BIM API Platform for Building Lifecycle Management highlights his commitment to open-source collaboration and interoperability in BIM-driven ecosystems. Additionally, his paper Data fusion approach for a digital construction logistics twin underscores his expertise in merging multiple data streams to build comprehensive digital representations of construction processes. Recognized for his academic excellence, Gehring achieved second place in the RKW Competence Centre’s ‘AufITgebaut’ competition for his master’s thesis on construction site logistics optimization. With advanced programming proficiency in Python, C#, and SQL, alongside experience in tools such as Revit, Docker, and Unity, he bridges engineering, computer science, and management to drive innovation in smart construction and digital infrastructure systems.

Profile: Scopus | Orcid | Google Scholar

Featured Publications:

Gehring, M., & Mantel, H. (2025). Towards a more sustainable re-engineering of heterogeneous distributed systems using cooperating run-time monitors. In Proceedings of the book chapter.

Putz, F., Haesler, S., Völkl, T., Gehring, M., Rollshausen, N., & Hollick, M. (2024, November 11). PairSonic: Helping groups securely exchange contact information. In Proceedings of the Conference. ACM.

See, R. A., Gehring, M., Fischer, M., & Karuppayah, S. (2023, December 4). Binary sight-seeing: Accelerating reverse engineering via point-of-interest-beacons. In Proceedings of the Conference. ACM.

Karam Khairullah | Software Engineering | Best Researcher Award

Published on by Global 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,