Digital Twins
Real-time simulation, data assimilation, model-based systems engineering and digital representations of operational systems.
Interdisciplinary work in digital twins, operations research, simulation, planning and scheduling, artificial intelligence, and supply chain and logistics systems.
Research themes
The research program combines mathematical modeling, computational methods and real-world operational applications.
Real-time simulation, data assimilation, model-based systems engineering and digital representations of operational systems.
Mathematical programming, exact algorithms, heuristic methods and metaheuristics for difficult decision problems.
Discrete-event simulation, simulation optimization and analytics for dynamic and uncertain environments.
Production, runway, transportation and resource scheduling under operational constraints and disruptions.
Port operations, transportation, humanitarian logistics, resilient supply chains and operational planning.
Machine learning, deep reinforcement learning, language models and autonomous systems for decision support.
Selected funded projects
Selected projects are presented below. The full historical project archive remains available through the current website during migration.
Development of advanced educational and workforce capacity in digital twins and next-generation modeling and simulation.
Research collaboration through the Automotive Research Center at the University of Michigan.
Building-damage identification and flood-event detection using deep learning.
Multiple studies examining standardized feedback, clerkship summaries and educational uses of language models.
Computer vision and autonomous-system methods for search-and-rescue missions.
Simulation-based planning and operational decision support for rapid deployment logistics.
Books
Published and forthcoming work in operations research, scheduling and digital-twin-enabled supply chains.
Michael W. Carter, Camille C. Price and Ghaith Rabadi · CRC Press / Taylor & Francis
Edited by Ghaith Rabadi · Springer International Publishing
Ghaith Rabadi and Bulent Soykan · Springer International Publishing
Browse selected recent journal and conference papers with searchable filters.