Mohamed Musthafa Palamadathil Kozhisseri

Developed and validated modular HV energy-management functions in MATLAB/Simulink for charging-power allocation, auxiliary-load prioritization, battery protection, and fault-triggered safe-state control. Tested four functional scenarios and a 153-run SoC/grid-power sweep, including verification of DC-link discharge from 760 V to below 60 V within 0.19 s.

Supported automotive function development for HV energy management and charging systems. Documented and refined functional requirements, implemented and updated charging-related Simulink functions, and created test cases using dummy signals, AC/DC charging scenarios, boundary conditions, and edge cases. Analysed results and documented improvements.

Completed industrial automation training and an automotive machine-vision project. Worked with PLC/HMI concepts, sensors, relays, and electrical control components, and implemented an online Poka-Yoke vision-inspection system for coil-spring inspection and automated rejection, achieving 100% fault-detection accuracy during testing.

Focused on AI and autonomous driving, machine learning, reinforcement learning, robotics, nonlinear control, numerical optimization, MPC, E-Powertrain and automotive engineering. Completed project work in adaptive robotic cable manipulation and a master’s thesis on modular HV energy management for electrified powertrains

Built a foundation in control systems, power electronics and drives, industrial automation, electric vehicles, smart grids, neural networks, IoT, microcontrollers and electrical machines. Completed a capstone project on a MATLAB/Simulink-based bidirectional EV charger for G2V, V2G and V2V operation.