Dr. Eric Smith
Director of Artificial Intelligence, Data Analytics & Exploitation, Advanced Technology Center
Dr Eric Smith is the Director of Artificial Intelligence, Data Analytics and Exploitation (AIDAE) at the Lockheed Martin Advanced Technology Center (ATC).
The AIDAE organization develops technology for transition into the lines of business, in four primary areas:
1. Artificial Intelligence and Machine Learning – innovations necessary to usher in the 3rd wave of AI.
2. Modeling and simulation of physical phenomena giving rise to observable signals from the RF to Visible, and their backgrounds.
3. Robotics and Autonomy – human machine teaming, autonomous robotic operations, and hardware targets compatible with missions in space.
4. Quantum Computing – application of quantum algorithms to solve problems that cannot be solved by classical methods alone.
Dr Smith’s organization of 80 engineers and scientists works closely with government S&T organizations, universities, small business, and lines-of-business in Space to ensure delivery of mission-relevant technology built upon the state-of-the-art.
Prior to this role, Dr. Smith worked at Alphabet’s Waymo LLC as the systems engineering manager and technical lead for the sensing systems, responsible for understanding from physics first principles the behavior of the sensing system, both current and next generation, in a wide regime of environmental conditions.
Dr. Smith’s previous roles include Google’s next-generation payload leader and strategist at Terra Bella, Chief Systems Engineer for the James Webb Space Telescope’s Near Infrared Imaging Camera (NIRCAM) at the ATC, which is the central science instrument and source of truth for alignment and wavefront maintenance of the observatory, senior program manager for the Talon visible imaging payload for a government contract, and department senior manager for the optics department at the ATC.
Before joining Lockheed Martin, Dr. Smith held a post-doctoral position analyzing data from the Fermilab Tevatron, placing limits on a minimal supersymmetric model of a proposed charged Higgs Boson.
Tuesday, April 5, 2022
10:30 am - 4:00 pm
Track: Track Pass