Mr. Sahin is a technology expert with 20 years of experience. His interest in autonomous systems started in graduate school in the late 90s under a fellowship from the Center for Intelligent Transportation Research, where he focused on seamless transportation systems, traffic flow control, and solutions to the lane following problem using closed-loop control systems with no map information and limited sensory input. He then joined Northrop Grumman, beginning to develop expertise in the identity and biometrics arena. His responsibilities in his 12 years there ranged from research and development to large scale systems integration, representing the company as an expert, leading technology evaluations, and building business flow simulation models for capacity planning. Later he joined Daon, helping to spin off a mobile identity startup and platform that won the 2011 American Technology Award and consulting prime integrators delivering large scale identity system solutions. Mr. Sahin also worked at the business intelligence firm MicroStrategy where he led a team that built the biometrics component of their mobile identity platform. This platform enabled users to secure identities using voice, face and fingerprint verification with potential use cases in the ridesharing industry. His team also conducted research and development towards seamless user experiences and liveness detection. He is currently supporting multiple federal and commercial clients as a member of Deloitte’s Advisory team. Returning to his autonomous vehicle work while at Georgetown in 2017, Mr. Sahin was on a global project team that developed strategic guidance on the business and policy implications of autonomous, connected, electric and shared vehicles by studying the industries and government initiatives in the U.S. and Germany. Mr. Sahin has 13 patents (one additional pending) in technology. He holds an MBA from Georgetown University and M.S. and B.S. degrees in Electrical Engineering, from The Ohio State University and Bogazici University, respectively.