The e-mobility research group focuses on the development of improved algorithms, controllers and optimisations for the health prognostic of lithium-ion battery management in EV applications, focusing on battery cell balancing, thermal management, faults diagnosis and prognosis of BMS using data-driven model framework. In the field of intelligent vehicle, research is in the area of vehicular communication and intelligent transportation system (ITS) which includes channel propagation modelling, channel estimation, multiple antennas, machine learning and coding techniques that will increase the robustness of the doubly selective high Doppler and delay spread vehicular channels.