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.
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.