Paul Grogan

Paul Grogan is an Associate Professor at Arizona State University (ASU) within the School of Computing and Augmented Intelligence, part of the Fulton Schools of Engineering. He has held previous academic positions at Stevens Institute of Technology and completed postdoctoral research at MIT. His expertise spans strategic engineering, collaborative systems design, and Earth-observing space missions. Grogan leads research on distributed and decentralized systems, focusing on applications in space exploration, terrestrial infrastructure, and resource management. His work integrates design science, economics, and information science to improve cross-organizational collaboration in engineering design.

Education:

• Ph.D. Engineering Systems, Massachusetts Institute of Technology (2014)
• S.M. Aeronautics and Astronautics, MIT (2010)
• B.S. Engineering Mechanics, University of Wisconsin-Madison (2008)

Research Interests:

Grogan’s research emphasizes design theory, collaborative engineering, and modeling/simulation. His team develops frameworks for analyzing distributed systems, such as satellite constellations and infrastructure networks. Key areas include:

• Game-theoretic approaches to resource allocation
• Strategic decision-making in multi-stakeholder environments
• Simulation tools for space logistics and Earth science missions

Awards:

• National Science Foundation CAREER Award (2020)
• NDSEG Fellowship (2010)
• Robert C. Byrd Honors Scholarship (2003)

Advising & Grants:

Grogan oversees research grants totaling over $5M, including NASA-funded projects on new observing strategies and Earth science missions. He advises graduate students and collaborates with organizations like SpaceNet and the Institute for Data, Systems, and Society. His lab (CODE Lab) develops tools like the Tradespace Analysis Tool for Constellations (TAT-C).

Labs & Teams:

He directs the CODE Lab, focusing on collaborative design experiments, digital twins, and space system architecture. Ongoing projects include the New Observing Strategies Testbed (NOS-T) for Earth science mission simulation.