Biography: Ionela Prodan (Member, IEEE) received the B.S. degree in automation and applied informatics from the University Politehnica of Bucharest, Romania, in 2009, the Ph.D. degree in control engineering from Supélec, Gif-sur-Yvette, France, in 2012, and the Habilitation to Conduct Research (HDR) degree in 2020. She continued with a postdoctoral fellowship within the Chair on Systems Science and the Energetic Challenge - EDF, École Centrale Paris, France. Since 2014, she has been an Associate Professor with the Laboratory of Conception and Integration of Systems, Grenoble INP, Univ. Grenoble Alpes, Valence, France. She has been a co-animator of the National French Research Group CT CPNL (Nonlinear Model Predictive Control) of GDR MACS since 2021. Her research interests are multi-disciplinary with a core expertise in control and applied mathematics. These encompass constrained optimization-based control (model predictive control via distributed and decentralized approaches), mixed-integer programming, differential flatness, set-theoretic methods, and their application to motion planning for autonomous vehicles and energy management in building-scale DC microgrids. She has been an Associate Editor for the EUCA European Control Conference since 2022, an Associate Editor for the IEEE Transactions on Control Systems Technology since 2023, and a member of the IFAC Technical Committee 6.3. Power and Energy Systems since 2020.