Prasath Kumaraveeran

Research support on hardware acceleration of FFTs in Cadence Tensilica ConnX B20 DSP for ADAS Radar applications.

Control of FMCW radar for real time application based on Python and C.

Pubsub development based on Python

Function development on vehicle device drivers, torque based actuation, sensor supplies, power train, driver assistance and cruise control, system variability (Variant Coding), integration, testing and validation of power train ECU software for Daimler (M254, M256, M276LA, M270 and MoVE engine variants).

Hardware-Software Co-Design, Hardware Modelling and Simulation, Design and Programming of Embedded Multicore Architectures, Real Time Systems, Distributed Systems, Fundamentals of Estimation and Detection theory, Systems Engineering, Principles of Dependable Systems, Stochastic Systems.

Engineering Mathematics (Transformation Theories, Fourier Theories, Probability and Random Process), Signals and Systems, Digital Signal Processing, Control Systems, Basics of Embedded Systems Microprocessor and Micro-controller systems, Digital Electronics.