Research
The School of Modeling, Simulation & Training
Research Overview
The OptiSim Lab conducts interdisciplinary research combining optimization, simulation, AI/ML, and digital-twin technologies to address large-scale, high-complexity decision problems.
Research Focus
- Optimization & Operations Research
- Simulation Modeling & Analysis
- Digital Twins & Real-time Data Assimilation
- AI/ML for Complex Systems
Primary Research Areas
1. Optimization & Operations Research
Focusing on planning and scheduling, multi-objective optimization, heuristic and metaheuristic algorithm design, and data-driven decision models. Dr. Rabadi is a globally recognized expert in these areas and serves as Chief Editor of the International Journal of Planning and Scheduling.
2. Simulation Modeling & Analysis
Using discrete-event, agent-based, and hybrid simulations to evaluate system performance under uncertainty. This aligns directly with the SMST’s strong emphasis on simulation-driven research.
3. Digital Twins & Real-time Data Assimilation
Developing digital-twin frameworks for disaster logistics, transportation systems, and cyber-physical operations that are supported by recent research in digital twins, adaptive systems, and data-driven modeling.
4. AI/ML for Complex Systems
Applying machine learning and intelligent analytics to improve predictive accuracy, enable real-time decision-making, and support resilient operations for critical infrastructure.
Application Domains
- Supply chain modeling and optimization
- UAV-based delivery systems & autonomous operations
- Humanitarian logistics & disaster response
- Aviation and runway scheduling
- Smart cities & logistics digital twins
These domains reflect a long history of funded research from NASA, DHS, NATO, the U.S. Department of Education, and more.
Collaborate With Us
We partner with government, industry, and academic teams on applied R&D, student mentorship, and technology transition. Prospective students and collaborators are welcome to connect through OptiSim@ucf.edu.