Muthukumarasamy M Email and Phone Number

◦ AUV Control and Navigation Software Deconstruction: Thoroughly analyzed and mastered DUNE (DUNE: UnifiedNavigation Environment) control and navigation open-source software for project implementation.◦ PINN (Physics-Informed Neural Networks) based obstacle avoidance: Implemented PINN (Physics Informed)Neural network-based obstacle avoidance algorithms on the ground robot, Volta, using Robot Operating System (ROS),enhancing its autonomous navigation capabilities.

University of Tennessee, Knoxville,USA Jan 2023–Jun 2023Design & Optimization of Traffic Control Algorithm using Reinforcement Learning Research Intern (Full-time)◦ Designed a simulation test ground: The map of the simulation test ground with historical data was built on SUMOsoftware.◦ Helped Design & optimise the Reinforcement model: The Reinforcement Model was designed to reduce trafficflow optimized for various traffic loads.◦ Modeled safety measurements for pedestrians : Designed a separate AI model for pedestrians signals and alsoincorporated safety measurements for pedestrians.◦ Softwares: SUMO, MATLAB

Fabrication of an Electric Bike Intern◦ Designed, Simulated & Manufacturing of parts of E-bike: Brake-disc, Chassis, Swing arm, Suspension Mount,Battery-mount.◦ Manufacturing & Assembly of the E-bike: Performed Cutting, Machining, Grinding & Welding with professionaltooling equipment & manufactured the bike in the workshop.◦ Testing & Calibrating: The E-bike tested at a maximum speed of 45 km/hr, with a distance of 60 kilometers for onefull charge cycle.