Joseph Godfrey
Collegiate Assistant Professor
- Co-director, Systems Performance Laboratory
- Director, Master of Engineering Administration Program
Research Areas
Main Area: Management Systems Engineering
- Social Choice (Computational Social Choice)
- Game Theory (Cooperative Games)
- Quantum Systems Engineering (Foundations, Workforce Development)
- Systems Theory (Donabedian, Category Theory)
- Engineering Economics (Theory of the Firm, Innovation)
- Data Science (Automation, Agentic AI)
- Market Research (GIS, Direct Marketing, Ethics)
- Cert., CMMI Associate, ISACA / CMMI Institute, Pittsburgh, PA, 2024
- Cert., Geographic Information Systems (GIS), Penn State University, University Park, PA, 2004
- Graduate Coursework, Divinity, University of Notre Dame, Notre Dame, IN, 1987–1991
- Ph.D., High Energy Physics, University of Notre Dame, Notre Dame, IN, 1987
- B.S., Mathematics, University of Chicago, Chicago, IL, 1979
- Management of Change, Innovation, and Performance in Organizational Systems
- Economic Project Evaluation
- Transfer and Application of Emerging Technology
- Engineering Program and Project Management
- Introduction to Operations Research
- Decision Analysis for Engineers
- AI/ML for Systems
- Enterprise Information Systems
- Director of ISE Master of Engineering Administration program (the program continues to operate, but is not accepting new students)
- Co-director of the Systems Performance Lab (SPL)
- Supporting the development of a Ph.D. in ISE/Systems Engineering with a quantum focus.
- Championing the development of a Virginia Quantum Network, consisting initially of three physical nodes in Northern Virginia, with at least two other 3-nodel components in Southwest and Southeast Virginia.
- Collaborating with Virginia Tech Engineering Education (EngEd) on an NSF grant for quantum workforce development, as well as serving on committees for EngEd Ph.D. candidates.
- Consulting for Dataline, one of the leading consumer cooperative database companies. My work for Dataline is especially focused on automation and integration of AI and Agentic AI capabilities.
- Board of Directors of Azist Inc., an international company focused on IT support services for Microsoft and quality management certifications.
- 2025 ASEM, October 8, System Analogies: A Categorical Framework Based on Donabedian’s SPO Model
- 2026 Phase-Space Formulation of Shock-Containing Irrotational Barotropic Euler Flow. Molnar, Sandor M. et. al., Entropy (forth coming)
- 2026 Koopman–von Neumann and Weyl–Wigner Phase-Space Formulation of Inviscid Euler Flows. Molnar, Sandor M. et. al., Entropy, Volume 28, Page 416
- 2025 Balance equations for physics-informed machine learning. Molnar, Sandor M. et al., Heliyon, Volume 10, Issue 23
- 2025 ASEM, September 24, A Theoretical Foundation for IDEF0 Using Category Theory
- 2021 HVDMA, May 20, 01:00 PM, Podcast, Is Artificial Intelligence/Machine Learning Real? (Note that is before LLM’s burst on to the scene in 2202)
- 2019 Dagstuhl Seminar, Application-Oriented Computational Social Choice