Navid is an Adjunct Professor in Robotics Engineering Department, imparting his expertise through graduate-level courses focused on machine learning with applications to robotics. He is currently serving as an Associate Technical Fellow at Lockheed Martin Corporation-Sikorsky Aircraft in Stratford, CT.  In this role, he is actively contributing to the advancement of autonomy in a diverse range of aerial vehicles, including full-scale fixed-wing and rotary-wing aircraft, as well as drones of varying size. Navid has accumulated two decades of experience in the field of autonomous aerial vehicles. Prior to his current role, he held the position of Senior Member of the Technical Staff at Aurora Flight Sciences, A Boeing Company, in Cambridge, MA. In the classroom, Navid seamlessly integrates his extensive practical knowledge into teaching, providing students with valuable insights derived from real-world scenarios. Navid's research spans the full spectrum of aerial robot autonomy, encompassing motion planning, perception, task allocation, feedback controls, and the integration of advanced technologies such as reinforcement learning and deep learning.