Mehrnaz Javadipour

Mehrnaz Javadipour is a Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science. Her research focuses on battery management systems for electric vehicles (EVs), IoT-enabled microgrid monitoring, and advanced numerical methods for electrochemical models. She specializes in integrating sensor data with machine learning and control systems to improve energy storage and distribution efficiency.

Her work combines electrochemical modeling with thermal and magnetic field analysis to predict battery ageing and optimize performance. Recent studies include distributed privacy-preserving control in IoT networks and real-time state-of-health estimation for lithium-ion cells. She also explores IoT infrastructure for rural microgrid situational awareness, emphasizing robust state estimation algorithms and event-triggered control mechanisms.

Publications span topics like current density imaging, root-finding algorithms for battery models, and simulation-driven monitoring. Her research bridges electrical engineering, data science, and control systems to address challenges in sustainable energy technologies.