ABOUT ME

Dr. Arpan Kusari is an Assistant Research Scientist in the Engineering Systems Group at UMTRI. He is primarily interested in refining the Automated Driving Systems (ADS) pipeline with a broad impact in terms of robustness affecting safety and efficiency. ADS is poised to be the most disruptive technology in transportation in the current century and it assimilates aspects from different disciplines such as robotics, computer vision, control, simulation etc. 

He has interests in the entire ADS pipeline spanning from mapping and localization, to perception and finally to robust decision making. In the sensing and perception realm, his interests lie in uncertainty quantification and fault tolerance of a generic sensor suite.  He is working on error quantification of novel automotive grade sensors and the impact of the error on the deep learning based perception outputs. In decision making and control, he is focused on creating a robust framework capable of handling the uncertainty stemming from other road users’ behavior. In that regard, Dr. Kusari is pursuing development of methods for increasing the efficiency and robustness of probabilistic formalisms such as reinforcement learning and evolutionary algorithms to safely navigate the dynamic environment. He is developing realistic simulation suite in order to solve these modular problems.