Summary
Brian Fogelson is a Lead Computer Engineer with nine years of experience applying robotics, AI, and systems engineering to medical devices and unmanned systems. He holds an MS in Robotics from the University of Michigan and a BS in EE/CE from Johns Hopkins, and has led teams to deliver UMAA-compliant autonomy nodes and decentralized multi-agent behaviors in C++ and Python. At Northrop Grumman he invented a decentralized task-allocation algorithm that improved completion speed and fuel efficiency, earning an engineering award, and his academic work includes published papers on exoskeletons and deep reinforcement learning. Brian blends hands-on firmware and algorithm development with system-level design and live virtual testing, having shipped capabilities that supported a Phase III SBIR award. Based in Pasadena, Maryland, he focuses on using robotics and AI to improve quality of life, and is comfortable moving projects from research prototypes to operational demonstrations. An uncommon strength is his track record of translating novel academic ideas into robust, testable autonomy systems.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS Robotics, Master of Science - MS Robotics at University of Michigan
Johns Hopkins University