Afzal Chamroo

Afzal Chamroo serves as an Associate Professor in the Department of Automatic Control and Systems at the School of Engineering (ENSIP), University of Poitiers, France. He is actively affiliated with the LIAS laboratory (Laboratoire d'Informatique et d'Automatique pour les Systèmes), maintaining research sites at both ENSIP in Poitiers and ISAE-ENSMA in Chasseneuil.

His academic foundation includes a 2006 PhD in Automatic Control and Robotics from Université des Sciences et Technologie de Lille - Lille I, with doctoral research focused on Piecewise Continuous Systems for online identification and real-time control applications.

Chamroo's research program centers on advanced control methodologies, particularly piecewise continuous control systems, vision-based robotics, and industrial process applications. His work demonstrates consistent innovation in nonlinear system stabilization, trajectory tracking for underactuated mechanisms, and real-time monitoring solutions for critical infrastructure. Key application domains include power grid stability, induction motor fault detection, hydrogeological modeling, and thermal system control.

Publication trends reveal an evolution from foundational work on piecewise control in bioprocesses (2008) and robotic systems (2009-2010) toward contemporary challenges in industrial load monitoring (2024), power grid frequency analysis (2023), and physics-informed machine learning for fault detection (2022). His research maintains strong industry relevance through collaborations with power systems and manufacturing sectors.

Within LIAS, Chamroo contributes to the Automatic Control team's mission of advancing real-time control theory and implementation. The laboratory's collaborative structure enables cross-disciplinary work spanning data engineering, real-time systems development, and industrial project deployment, providing robust infrastructure for his ongoing research in control systems engineering.