Sharad Rawat

Working in the perception group, the job revolves around the programming perception systems/algorithms for the autonomous vehicle. - Implemented L2 perception algorithms to be consumed by motion planning. - Implemented algorithms to work with SD maps making them work with the existing perception stack. - Implemented visualization plugin in rViz to validate the development on a real world data. - Followed Test-Driven-Development principles for development along with Scrum methodology

Assisting the instructor in ME 4870 : Capstone Laboratory. Designed to give an experimental exposure to graduating students in the field of vibrations, acoustics and thermal engineering. My tasks is to manage the class and conduct weekly experiments, to assisting students in weekly assignments and projects and to grade the labs, quizzes and project.

Topology design of structures using Deep Learning Techniques. - Design an optimized topology of a structure using generative models like Generative Adversarial Networks. - Applied conditional GANs, WGANs to enhance the training and generate realistic images.

Developed a stand-alone Octave GNU program to analyse hydro-dynamic pressure distribution on a journal bearing under steady-state operating conditions. - Involved in creating a FEM solver with pre and post-processing capabilities which caters to the boundary conditions and underlying equations of mechanics specific to hydrodynamic journal bearing.

- Improving crashworthiness of the metal tube by introducing corrugations and functionally grading the corrugated profile in thin-walled tubes during impact loading with different cross-sections and densities using LS-DYNA. - Optimised the geometric features and corrugated profile of thin-walled tubes to improve the crashworthiness using the multi-objective genetic algorithm. The works have been published and presented in the international conferences and procedia engineering.

Machine learning Image processing Sensor Fusion Trajectory / Motion Planning Control Systems

Optimization Pattern Recognition/ Machine Learning/ Deep Learning Image Processing Machine Design Finite Element Analysis

Coursework: - Optimization - Automatic control - Finite Element Method - Machine Deisgn