Daniel Selva

Dr. Selva’s research for SERC’s Acquisition Innovation Research Center has explored cognitive assistants for workforce training. With a dual background in electrical engineering and aeronautical engineering, he applies a multi-disciplinary approach to research, with a focus on the intersection of systems engineering, AI, and space, particularly on leveraging novel architectures and technologies for earth observation. At Texas A&M, he leads the Space Systems Engineering, Autonomy, and Knowledge (SEAK) Lab. Read extended bio and connect on LinkedIn.

Career Highlights

• Has conducted research for NASA, National Science Foundation, DARPA, Lockheed Martin, Ford Motor Company and others
• Served on European Space Agency’s Advisory Committee for Earth Observation
• Won silver medal, Spanish National Chemistry Olympiad