Yosef Wubet | Electrical Engineering | Young Scientist Award

Published on by Popular Engineer

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.

Profile : Google Scholar

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.

Hacene Mellah | Electrical Engineering | Best Researcher Award

Published on by Popular Engineer

Dr. Hacene Mellah | Electrical Engineering | Best Researcher Award

bouira university | Algeria

Dr. Hacene Mellah is an Associate Professor of Electrical Engineering at Université de Bouira, Algeria. His education includes an Ingenieur degree (2006) with a focus on electrical machine control, a Magister (2009) in electrical machines and control, a PhD (2020) in electrical machines, and his habilitation à diriger des recherches (HDR). He conducts research in estimation techniques of intrinsic machine parameters and thermal behaviour, fault diagnosis, renewable energy systems (wind, PV, hybrid), and control strategies for advanced electrical machines and drives. According to the AD Scientific Index (2025), his total h-index is 7, with about 91 citations and 24 indexed documents. A recent years his work has focused on observer design, neural networks, finite element modelling (FEM), and smart control of doubly fed induction generators among other topics. He has published in a number of peer-reviewed journals as well as international conferences. His contributions have enhanced understanding of sensorless control, fault modelling, and thermal monitoring for electrical machines, particularly under transient or non-linear conditions. Looking forward, he aims to expand his research in intelligent control, sustainable energy integration, and improved diagnostics. He seeks collaborations and impact through both theoretical development and practical applications in electrical drive systems.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Sahraoui, H., Mellah, H., Drid, S., & Chrifi-Alaoui, L. (2021). Adaptive maximum power point tracking using neural networks for photovoltaic systems according grid. Electrical Engineering & Electromechanics, (5), 57–66.

Mellah, H., Hemsas, K. E., & Taleb, R. (2016). Intelligent sensor based Bayesian neural network for combined parameters and states estimation of a brushed DC motor. International Journal of Advanced Computer Science and Applications (IJACSA), 7(7), 230–235.

Mellah, H., & Hemsas, K. E. (2013). Simulations analysis with comparative study of a PMSG performances for small WT application by FEM. International Journal of Energy Engineering, 3(2), 55–64.

Maafa, A., Mellah, H., Ghedamsi, K., & Aouzellag, D. (2022). Improvement of sliding mode control strategy founded on cascaded doubly fed induction generator powered by a matrix converter. Engineering, Technology & Applied Science Research, 12(5), 9217–9223.

Bounasla, N., Hemsas, K. E., & Mellah, H. (2015). Synergetic and sliding mode controls of a PMSM: A comparative study. Journal of Electrical and Electronic Engineering, 3(1-1), 22–26.