Prof. Karim Dahech’s research focuses on advanced nonlinear control and observer design with strong applications in renewable energy systems and industrial process optimization. A major contribution lies in the development of sliding mode, terminal sliding mode, and backstepping-based control strategies to enhance robustness, stability, and performance of photovoltaic and wind energy conversion systems, particularly for maximum power point tracking under uncertainties and disturbances. His work integrates fuzzy logic, T–S fuzzy models, and nonlinear observers to address complex dynamics, improve energy efficiency, and ensure reliable operation of renewable energy systems. In parallel, he has contributed significantly to observer-based control and multi-model approaches for nonlinear and uncertain systems, enabling accurate state estimation and fault-tolerant control. These methods have been successfully applied to microgrids, grid-connected inverters, and wastewater treatment processes, demonstrating interdisciplinary impact across energy and environmental engineering. The research emphasizes practical implementation, including processor-in-the-loop validation and real-time applicability, bridging theory and industrial deployment. Overall, this body of work advances robust control methodologies for sustainable energy and complex nonlinear systems, with measurable scientific impact reflected by 274 total citations (191 since 2020), an h-index of 7 (6 since 2020), and an i10-index of 6 (5 since 2020).