Daniel Selva

Dr. Daniel Selva is an Associate Professor in the Department of Aerospace Engineering at Texas A&M University. His research focuses on space systems, systems engineering, and intelligent systems, with emphasis on AI-driven design tools like the SEAK Lab’s Daphne cognitive assistant. He leads projects funded by NASA, NSF, and DOD, addressing challenges in satellite constellations, autonomous decision-making, and metamaterials. Awards include recognition for highly cited papers and conference best papers.

Education: Ph.D. in Space Systems from MIT (2012), M.Sc. in Aerospace Engineering from ISAE/Supaero (2004), B.S. in Telecommunications Engineering from UPC (2002).

Research Interests: Space Systems Architecture, AI for Design, Autonomous Sensor Webs, and Metamaterial Design. Key projects include the Multi-Agent Anomaly Resolution System (MAARS) and the TAT-C ML tool for constellation design.

Awards: First Author of most cited Acta Astronautica paper, 2013 IEEE Best Paper Award, and 2018 Design Computing Best Paper.

Grants & Projects: NASA STTR (Multi-Agent Anomaly Resolution), NSF-funded metamaterials research, and collaborations with NASA on TROPICS missions. Lab location: HRBB Building, Texas A&M.