Kashif Raza

Kashif Raza holds a Doctoral scholarship at the Electromobility Research Centre and the Faculty of Engineering at Vrije Universiteit Brussel. His research focuses on battery modeling using Machine Learning and deep learning techniques, with applications in electromobility and energy systems. He is actively involved in EU-funded projects such as REBORN (Reusable battery modules) and NEMO (Next-generation battery models).

Education:

• PhD in Electrical Engineering and Power Electronics

Research Interests: Kashif Raza's work integrates advanced computational methods with electrochemical principles to address challenges in battery management systems, state estimation, and sensor optimization. His contributions include developing data-driven frameworks for aging prediction using electrochemical impedance spectroscopy (EIS), as demonstrated in his 2024 conference presentation at the Horizon Europe project NEMO.

Projects:

• REBORN (2025–2028): Reusable battery modules and management systems for second-life applications
• NEMO (2023–2026): Next-generation models for advanced battery electronics

Labs/Teams: Collaborates within the Electromobility Research Centre and interdisciplinary teams specializing in battery technology and smart grid systems.