Assistant Research Scientist, Engineering Systems
University of Michigan Transportation Research Institute, Room 202, 2901 Baxter Rd. Ann Arbor, MI 48100
BS, Civil Engineering, NIT Trichy, India
MS, Civil Engineering (Geomatics), Purdue University, Indiana
PhD, Civil Engineering (Geosensing Systems Engineering and Sciences), University of Houston
Dr. Kusari’s research interest spans through the spheres of sensing and perception; and decision-making and control, in the domain of autonomous vehicles. In the sensing and perception realm, his interests lie in uncertainty quantification and fault tolerance of a generic sensor suite. Dr. Kusari is also interested in utilizing noise reduction methods for designing cost-effective low SNR (signal-to-noise ratio) LiDARS. In decision making and control, he is focussed 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. Dr. Kusari has spent five years at Ford Motor Company working collaboratively with researchers from MIT and University of Michigan; formulating research problems in autonomous vehicles. His doctoral research was in LiDAR mapping in the areas of sensor calibration, precise estimation of earthquake displacement and uncertainty quantification in the point cloud.
- Member, IEEE
- Member, ASPRS
- Reviewer Board, Remote Sensing (ISSN 2072-4292; IF 4.118)
- Doctoral Student Tuition Fellowship, University of Houston.
- DAAD RISE Pro Summer Internship..
- Erasmus Mundus Scholarship India4EU