Raghavendra — Graduate Student

Autonomous Navigation on Road " International Center for Automotive Research " Clemson University Built an autonomously controlled RC car with Arduino and perform Lane Detection, Tracking and Navigation. Implemented Machine Learning, tracking controls and lane detection using Stanley controller and Kalman filter. Tsai's camera calibration method and image processing with inverse projection were implemented for optimum result. Hybrid and Electric vehicle (HEV) unit test case vehicle controller validation: " Cross-functional Integration HIL/SIL testing performed for the initial build of control systems for HEV on multiple platforms of vehicle build. Validation of unit-level test cases for Start/Stop condition using LabVIEW and MATLAB with Model-In-loop attesting 1.2% improvement in real-time.

Master of Science: Mechanical Engineering at Clemson University SC, US " GPA: 3.7/4.0 Dec 2020 viz., Modern control engineering, Autonomous driving, Non-linear dynamics, Mechatronics, Advanced Controls Nanodegree: Self-Driving Car Engineer " Udacity Sept 2020

Bachelor of Engineering: Mechanical Engineering at Bangalore University, IN " GPA: 3.6/4.0 July 2013 INTERN Engineering Intern at Volvo and Bosch (2012) GD&T, Tolerance analysis MATLAB, Simulink C, C++, Python, R LabVIEW, GT-Power PLC, AmeSIM, PID controller ANSYS, VisualDOC, ModeFrontier TIA Portal, EPLAN, P&ID PROFINET, SCADA, RSLogix 5000