NIYATHIPRIYA PASUPULETI

Worked as a Master Thesis Student at Audi Electronics Venture GmbH, Ingolstadt. The Topic of master's Thesis is oriented in Artificial Intelligence for traffic simulation. The focus is on finding scalable Deep reinforcement learning algorithm for Multi Agent Simulation. This algorithm is used to train an autonomous driving car. Worked mainly with Python, SUMO for traffic simulation, Tensorflow and with FLOW framework developed at UC Berkley.

Working as an Intern in the department of Smart Mobility/Machine Learning. Our research is inclined towards smart mobility in battery cars of a fleet Simulation.

Worked as a Software Engineer for more than 3 years in the field of Automotive-Embedded. Had worked as a team lead driving the team of Autocode Generation using TargetLink D-Space with MATLAB. Has worked vigorously in Model Based Development using MATLAB for transmission systems of a car with JATCO-NISSAN. Simulink based MBD models were created and tested using MIL, SIL and then PIL. Testcases were generated using Reactis. Was also involved in scripting for creating of tools using m-scripting.

Automotive Software Engineering Praktikum, Image Understanding, VHDL, Formal Specification and Verification, Software Platforms for Automotive Systems, Design of Software for Embedded Systems, Multicore, Hardware and Software Code Design

Embedded Systems,Digital Communications,Control Systems, Wireless Communications,Electronic Devices,Micro Processors and Controllers,Microwave and RF Design,ASIC Design,VLSI Devices and design,Transmission lines and Networks, Antenna and Wave Propagation,Probability and Random Process