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Dr. Bateman received a B.S. degree in Electrical Engineering from Rensselaer Polytechnic Institute in 1997, an M.S. in Electrical Engineering from the University of Virginia in 2002, and a Ph.D. from the University of Virginia in 2011. His Masters research was on stability analysis and control design techniques for systems with actuator saturation. His Doctoral research was on validation methods and tools for feedback control laws, with an emphasis on aerospace applications. He joined Barron Associates in 1997, and continued working for Barron Associates throughout his graduate studies.

Dr. Bateman leads a research group that is developing a variety of technologies to enhance the safety of air vehicle operations. Assurance and certification of advanced algorithms, particularly guidance, navigation, and control (GNC) algorithms, are one significant research area for this group. Work has included development of novel analysis approaches for GNC algorithms, and implementation of simulation-based testing tools that integrate these analysis methods to enhance their efficiency. Recently, stochastic modeling tools based on generalized Polynomial Chaos (gPC) have been developed and employed to validate path planning algorithms for unmanned vehicles, and run-time assurance (RTA) methods have been applied to address challenges in the certification of control methods for eVTOL vehicles.