Yosef Wubet | Electrical Engineering | Young Scientist Award

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Mr. Yosef Wubet | Electrical Engineering | Young Scientist Award

University of Gondar Institute of Technology | Ethiopia

Yosef Birara Wubet is a lecturer and researcher in Electrical and Computer Engineering, specializing in power systems and renewable energy. He holds a Master of Science in Power System Engineering and a Bachelor of Science in Electrical Power and Control Engineering, both from Bahir Dar University, Ethiopia. Since joining the University of Gondar as Lecturer (previously Assistant Lecturer), he has taught, supervised undergraduate projects and internships, reviewed journals, managed team projects, and contributed to practical works in both academic and industrial settings. His research interests span transient stability analysis using machine learning (notably artificial neural networks), fault classification and detection, solar power system design, smart grid technologies, modeling and design of controllers, system stability and forecasting, and modeling renewable energy integration. He has published multiple articles in peer-reviewed journals, including “Transient Stability Assessment and Enhancement of Hydropower Plant Using Artificial Neural Network” and “Design and modeling of ANN-based automatic generation control and voltage regulator for integrated hydropower plants in Ethiopia.” His honors include high academic distinctions (CGPA 3.96/4.0 in MSc, “Very great distinction”), the “Best Project of the Year 2018” at Bahir Dar Institute of Technology, and an Electrical Installation License from the Ethiopian Petroleum and Energy Authority. Yosef’s work contributes both theoretically and practically toward more stable, reliable, and renewable-energy-enabled power systems in Ethiopia and beyond.

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Featured Publications

Wubet, Y. B., Getahun, H. M., Alemu, Y. A., & Gela, T. T. (2025). Transient stability assessment and enhancement of hydropower plant using artificial neural network. Scientific African, Elsevier.

Wubet, Y. B., Gela, T. T., & Getahun, H. M. (2025). Design and modeling of ANN-based automatic generation control and automatic voltage regulator for two integrated hydro power plants in Ethiopia. Scientific African, Elsevier.

Muhammad Amer Qureshi | Biomedical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Muhammad Amer Qureshi | Biomedical Engineering | Best Researcher Award

University of Nizwa | Oman

Associate Professor Muhammad Amer Qureshi is a distinguished mathematician. He holds a Ph.D. in Mathematics , an M.S. in Engineering Sciences , and an M.Sc. in Computational Mathematics . His academic career has spanned roles as Associate Professor at the University of Nizwa (Oman), Associate and Assistant Professor at KFUPM (Saudi Arabia), and earlier appointments at GIK Institute and the University of Auckland. His research interests lie in numerical methods for ordinary differential equations (including one-step and multistep integrators, symplectic schemes), computational fluid dynamics (especially nano-hybrid fluids and heat transfer modeling), and the application of symmetries in general relativity (Noether’s theorem, space–time symmetries). He has supervised numerous undergraduate and graduate research projects, secured multiple externally funded grants, and published extensively in ISI/Scopus journals. Among his honors are repeated recognition in the Top 2% of global scientists, an Excellence in Teaching Award, and merit-based scholarships for Ph.D. and MS studies. In sum, his multifaceted contributions to theory, computation, and pedagogy mark him as a leading researcher and educator dedicated to advancing mathematics and engineering science.

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Featured Publications

Qureshi, M. A., & Hussain, S., & Sadiq, M. A. (2021). Numerical simulations of MHD mixed convection of hybrid nanofluid flow in a horizontal channel with cavity: Impact on heat transfer and hydrodynamic forces. Case Studies in Thermal Engineering, 27, 101321.

Qureshi, M. A. (2022). Thermal capability and entropy optimization for Prandtl–Eyring hybrid nanofluid flow in solar aircraft implementation. Alexandria Engineering Journal, 61(7), 5295–5307.

Qureshi, M. A. (2020). Numerical simulation of heat transfer flow subject to MHD of Williamson nanofluid with thermal radiation. Symmetry, 13(1), 10.

Qureshi, M. A. (2021). A case study of MHD driven Prandtl–Eyring hybrid nanofluid flow over a stretching sheet with thermal jump conditions. Case Studies in Thermal Engineering, 28, 101581.

Shahzad, F., Jamshed, W., Ibrahim, R. W., Nisar, K. S., & Qureshi, M. A., et al. (2021). Comparative numerical study of thermal features analysis between Oldroyd-B copper and molybdenum disulfide nanoparticles in engine-oil-based nanofluids flow. Coatings, 11(10), 1196.