JuliaCon 2025

Alexander Von Moll

Dr. Von Moll is a researcher with the Control Science Center, Aerospace Systems Directorate, Air Force Research Laboratory. He holds a B.S. in Aerospace Engineering from Ohio State (2012), an M.S. in Aerospace Engineering from Georgia Institute of Technology (2016), and a Ph.D. in Electrical Engineering from University of Cincinnati (2022). Alex was a Department of Defense SMART Scholar, awarded in 2011 and again in 2014. His research interests include multi-agent systems, cooperative control, and differential games.


Session

07-23
10:20
10min
Optimal Uncertainty Quantification of SciML Models
Adam R. Gerlach, Avinash Subramanian, Benjamin Chung, Alexander Von Moll

We present OptimalUncertaintyQuantification.jl: A SciML package for end-to-end distributionally robust uncertainty quantification of static and dynamic systems models. The tool performs a worst-case analysis so as to make certification/decertification decisions on engineering models defined in ModelingToolkit.jl as demonstrated on a variety of aerospace and structural engineering applications.

Symbolic-Numeric Computing and Compiler-Enhanced Algorithms
Main Room 2