Research
We develop advanced computational methodologies for the system‑level design, optimization, and assessment of aerospace systems: from novel propulsion architectures to fleet‑wide operations and environmental impacts. Our research integrates physics‑based and data‑driven modeling, multidisciplinary design analysis and optimization (MDAO), model‑based systems engineering (MBSE), digital engineering workflows, and emerging AI‑enabled design tools to create traceable, multi‑fidelity studies that connect technology choices to vehicle, fleet, and system‑of‑systems outcomes in future flight and space concepts.
Focus Areas:
- Computational Systems Design, Optimization, and Data-driven Methods: We develop physics‑based and data‑driven models and tools to support multidisciplinary design, analysis, and optimization (MDAO) of next‑generation air and space vehicles and propulsion systems. Our methods couple variable-fidelity simulations with surrogate models, machine-learning-based predictors, and optimization to explore large design spaces efficiently under uncertainty in technologies, missions, and operations. Many of our design studies are formulated as mixed-variable optimization problems, where propulsion architecture and topology decisions are discrete, while sizing and operating parameters are continuous.
- Digital Engineering & Model‑Based Systems Engineering (MBSE): We build integrated digital threads for engineered systems using MBSE tools such as SysML/MagicDraw together with model‑based systems analysis (MBSA). Our frameworks link requirements, architectures, analysis models, and data into a traceable digital engineering ecosystem, improving consistency, collaboration, and design traceability across organizations. Within these digital threads, we are increasingly exploring AI-augmented design workflows, where multi-agent AI systems assist engineers in navigating architectures, models, and trade studies.
- Advanced Propulsion Architectures & Energy Systems: We investigate alternative energy systms and electrified propulsion architectures (such as electric, hybrid-electric, and distributed propulsion), including high‑efficiency turbomachinery, fuel cells, batteries, and thermal management. We co-design these architectures with integrated power and energy management (supervisory controls) at the system-level, recognizing that control strategies directly influence subsystem performance requirements and, in turn, vehicle-level design drivers.
- System- and Fleet-Level Technology Assessment & Decision Support: We extend analysis from individual vehicles to fleet operations to evaluate the system‑level impact of new technologies and operational concepts. Using our open‑source tools such as the Future Aircraft Sizing Tool (FAST), fleet assignment and operations models, and atmospheric/climate simulations, we assess fleet performance, energy demand, infrastructure needs, and (where relevant) emissions and environmental impacts across plausible future scenarios, supporting data-driven decisions and technology roadmapping.
