Paul Grogan

Paul T. Grogan

Paul Grogan is an Assistant Professor in the School of Systems and Enterprises at Stevens Institute of Technology in Hoboken, New Jersey. He is a Senior Member of AIAA and member of IEEE, ASME, and SCS professional societies.

Dr. Grogan's research develops and studies the use of information-based methods and tools for engineering design in domains with distributed system architectures such as aerospace, defense, and critical infrastructure. His work seeks to overcome human limitations to understand, communicate, and anticipate long-term and cross-domain effects of design decisions across organizational and jurisdictional units.

Dr. Grogan received his B.S. degree in Engineering Mechanics and Astronautics from the Unversity of Wisconsin — Madison in 2008 and S.M. degree in Aeronautics and Astronautics and Ph.D. in Engineering Systems from the Massachusetts Institute of Technology in 2010 and 2014 respectively.

Research Areas

Model-centric Engineering Methods

Interoperable Simulation

Systems engineering is undergoing a transition from paper to digital media as the primary mode of documentation and communication throughout a system lifecycle. Model-centric engineering approaches have the potential to reduce the cost of communication and automate tedious or time-consuming activities in systems design; however, new methods must be capable of representing knowledge in models and exchanging information across model boundaries. This research builds on existing work in interoperable simulation standards (e.g. the IEEE Std. 1516 High Level Architecture) and semantic web technologies.

Past and present projects:

  1. Knowledge Base for the Tradespace Analysis Tool for Constellations (TAT-C) — NASA Goddard Space Flight Center
  2. Transforming Systems Engineering through Model-centric Engineering — Systems Engineering Research Center
  3. Infrastructure System-of-systems Modeling Framework — National Defense Science and Engineering Graduate Fellowship

Collective Systems Design Theory

Orbital Federates

Existing systems engineering approaches do not align well with a class of engineering systems design problems where multiple actors represent firms, organizations, and agencies with potentially conflicting individual objectives. New research is required to achieve higher levels of collective systems design including coordination to share resources, cooperation to couple decisions, and collaboration to pursue otherwise unachievable goals. Research toward a theory on collective systems builds on foundations in micro-economics including utility theory, decision theory, and game theory to understand how to facilitate or inhibit collective decisions in multi-actor design problems.

Past and present projects:

  1. Game-theoretic Risk Assessment for Distributed Systems (GRADS) — Systems Engineering Research Center
  2. Multi-actor System Value Modeling for Federated Systems — Skolkovo Institute of Science and Technology
  3. Sustainable Infrastructure Planning Game (SIPG) — National Defense Science and Engineering Graduate Fellowship
  4. Collaborative Design Game — National Defense Science and Engineering Graduate Fellowship

Space Exploration Campaign Logistics

Space Logistics Network

Future human spaceflight missions to distant sites such as Mars will require strategic planning to ensure success and maximize scientific return. Space exploration logistics determines the overall flow of resources and materiel through the space exploration network to satisfy anticipated demands. Compared to terrestrial analogs, space exploration logistics operates over longer durations, has highly constrained schedules governed by astrodynamics and limited vehicle availability, and supplies extremely critical resources necessary to support human life. This research develops new model-based methods and tools to assess and evaluate campaign logistics across a series of interrelated missions.

Past and present projects:

  1. SpaceNet: Space Exploration Campaign Logistics — NASA Jet Propulsion Laboratory


SYS-611: Simulation and Modeling


Catalog Description: This course emphasizes the development of modeling and simulation concepts and skills necessary to design, program, implement, and use computers to solve complex systems/products analysis problems. The key emphasis is on problem formulation, model building, data analysis, solution techniques, and evaluation of alternative designs/processes in complex systems/products. Overview of modeling techniques and methods used in decision analysis, including Monte Carlo simulation and systems dynamics modeling are presented.

Offered: Fall 2017, Fall 2016 (Syllabus)

SYS-601: Probability and Statistics for Systems Eng.


Catalog Description: This course is designed for students with a background in engineering, technology, or science that have not taken a class in statistics or need a refresher class. In this class we will apply probability and statistics throughout a system’s life cycle. Topics include the roles of probability and statistics in Systems Engineering, the nature of uncertainty, axioms and properties of probability models and statistics, hypothesis testing, design of experiments, basic performance requirements, quality assurance specification, functional decomposition, technical performance measurements, statistical verification, and simulation.

Offered: Spring 2017 (Syllabus)

Selected Publications

Journal Articles

  1. Grogan, P.T. K. Ho, A. Golkar, and O.L. de Weck. "Multi-Actor Value Modeling for Federated Systems", IEEE Systems Journal, November 2016. Early access
  2. Grogan, P.T. and O.L. de Weck. "Collaboration and Complexity: An Experiment on the Effect of Multi-actor Coupled Design", Research in Engineering Design, Vol. 27, No. 3, July 2016. Link
  3. Grogan, P.T. and O.L. de Weck. "Infrastructure System Simulation Interoperability Using the High-Level Architecture", IEEE Systems Journal, August 2015. Early access
  4. Grogan, P.T. and O.L. de Weck. "The ISoS Modeling Framework for Infrastructure Systems Simulation", IEEE Systems Journal Vol. 9, No. 4, December 2015. Link
  5. Adepetu, A., P.T. Grogan, A. Alfaris, D. Svetinovic, and O.L. de Weck. "Functional and Spatial System Model for City Infrastructure Systems: A City.Net IES case study", Systems Engineering, Vol. 17, No. 1, Spring 2014. Link
  6. Grogan, P.T., A. Siddiqi, and O.L. de Weck. "Matrix Methods for Optimal Manifesting of Multi-node Space Exploration Systems", Journal of Spacecraft and Rockets, Vol. 48 No. 4, July 2011. Link

Conference Proceedings

  1. Grogan, P.T., K. Ho, A. Golkar, and O.L. de Weck, "Bounding the Value of Collaboration in Federated Systems", 2016 IEEE International Systems Conference, April 2016. Link
  2. Grogan, P.T. and O.L. de Weck, "Collaborative Design in the Sustainable Infrastructure Planning Game", 2016 Spring Simulation Multi-conference Annual Simulation Symposium, April 2016. ANSS '16 Best Paper. Link
  3. Grogan, P.T and O.L. de Weck, "Interactive Simulation Games to Assess Federated Satellite System Concepts", 2015 IEEE Aerospace Conference, March 2015. Link
  4. Grogan, P.T., O.L. de Weck, A.M. Ross, and D.H. Rhodes, "Interactive Models as a System Design Tool: Applications to System Project Management", 2015 Conference on Systems Engineering Research, March 2015. Open access
  5. Grogan, P.T., A. Golkar, S. Shirasaka, and O.L. de Weck, "Multi-stakeholder interactive simulation for federated satellite systems", 2014 IEEE Aerospace Conference, March 2014. Link
  6. O'Neill, M.G., H.K. Yue, S. Nag, P.T. Grogan, and O.L. de Weck, "Comparing and Optimizing the DARPA System F6 Program Value-Centric Design Methodologies", AIAA SPACE 2010 Conference and Exhibition, September 2010. Link

Software and Other Media

  1. Orbital Federates Simulation-Python (OFSPY) Demonstration, October 2015. Available at
  2. Infrastructure System-of-Systems (ISoS) Modeling Framework Demonstration, August 2015. Available at
  3. Interactive Schedule Reduction Model (ISRM) Demonstration, February 2015. Available at
  4. Federated Satellite System (FSS) Toolkit Demonstration, June 2014. Available at
  5. SpaceNet version 2.5r2, September 2012. Available at

Contact Information

Stevens Institute of Technology


Babbio Center Rm. 517
Castle Point on Hudson
Hoboken, NJ 07030-5991


+1 (201) 216-5378