About

Anusna Chakraborty is a Research and Development Scientist at UtopiaCompression Corporation, with a focus on developing sensor fusion, localization, path-planning, and control algorithms for autonomous vehicles, including self-driving and aerial vehicles. She is a skilled researcher with a demonstrated history of working with simulation and hardware platforms, and expertise in Matlab, Simulink, ROS, Python, and C++. Before joining UtopiaCompression Corporation, Anusna worked as a Graduate Research Assistant at the University of Cincinnati, where she developed simulation and hardware solutions for the navigation of a team of autonomous unmanned vehicles in GPS-denied or degraded conditions. She worked on a range of applications, including cooperative localization problems for autonomous aerial and ground vehicles, formation controllers for assistance in surveillance problems, identification of targets on the ground using autonomous aerial vehicles and computer vision techniques, landing autonomous vehicles safely on moving platforms, and simultaneous arrival of aerial and ground vehicles at different locations at the same time. Anusna also worked as a Graduate Teaching Assistant at the University of Cincinnati, where she taught different topics to students, designed ROS tutorials and assignments, and helped the course instructor in grading. She holds a Doctor of Philosophy (Ph.D.) in Aerospace Engineering from the University of Cincinnati, a Master's Degree in Electrical Engineering from Utah State University, and a Bachelor's degree in Electrical Engineering from St. Thomas College of Engineering and Technology. Anusna's technical skills and relevant experience make her a valuable asset to any organization looking to develop and implement autonomous vehicle solutions. She is a detail-oriented researcher with a passion for innovation, and her expertise in research and development make her a valuable addition to any team.