About Me
Adam Watkins is a principal staff member of JHU/APL with over 15 years’ experience in autonomy and robotics. He performs research in the areas of collaborative autonomy, computer vision, data fusion, and machine learning and currently is working on numerous projects focused on developing and integrating perception for unmanned systems to enable autonomous decision making. His previous projects have focused on cross-domain heterogenous swarms of autonomous vehicles.
Watkins is an instructor in JHU’s Engineering’s Engineering for Professionals program, where he teaches the course, Applied Kalman Filtering. He was named the 2017 Outstanding Young Engineer of the Year by the Maryland Academy of Scientists.
Education & Industry Experience
Watkins received his PhD in mechanical engineering from the University of Florida.
MY COURSES
Assurance of AI Enabled Systems
This workshop introduces state-of-the-art methods for developing testing and evaluation plans for AI-driven systems and addresses novel challenges these systems present.
View Course
