Education
Courses, workshops, and open educational software from the Digital Engineering Lab.
The Digital Engineering Lab connects research and education through graduate courses, focused workshops, and open computational tools.
AE 700: Shape and Topology Optimization
A graduate course covering mathematical formulation, sensitivity analysis, numerical implementation, and applications of shape and topology optimization.
AE 700: Probabilistic Engineering Design
Provides an overview of probability (random variables and distributions), reliability estimation methods, and reliability-based design optimization to quantify uncertainty and improve engineering decisions in aerospace and structural systems.
K–12 Teacher Workshops: Design–Fabrication–Testing
Building on the PI’s three-part NASA EPSCoR-funded teacher professional-development workshop, conducted in collaboration with KU CTE from February to May 2026, this initiative provides hands-on experiences and reusable technical resources spanning CAD, print preparation, 3D printing, mechanical testing, and interpretation of results.
STORX
Shape and Topology Optimization for Research and Experimentation is an open-source, object-oriented MATLAB framework for learning, teaching, and extending computational design optimization methods.
