Multidisciplinary Design Optimization: Public Forum

🎉 Congratulations to the winners of the AIAA AVIATION  Best Student Paper Award in Multidisciplinary Design Optimization (MDO)! 🎉

🏆 1st Place: Nicholas Orndorff
University of California San Diego
"A Distributed Method for Solving Large-Scale Multidisciplinary Optimization Problems"
📄 AIAA-2025-3637

🥈 Runner-Up: Marius Ruh
University of California San Diego
"Differentiable Surface Mesh Deformation for Non-Conformal, Independently Parameterized Components with Large Shape Changes"
📄 AIAA-2025-3683

👏 A big thank you to **all the finalists** for their outstanding contributions:

🔹 Feng Liu
University at Buffalo
"Quantifying Uncertainty in Space Debris Capture with Active Tether-Net Systems Caused by Noisy Observations"
📄 AIAA-2025-3343

🔹 Luca Scotzniovsky
University of California San Diego
"A Fast, Memory-Efficient Panel Method for Large-Scale MDO Under Uncertainty Using Graph-Based Modeling"
📄 AIAA-2025-3021

🔹 Oihan Cordelier
École Polytechnique de Montréal
"Multi-Fidelity Constrained Bayesian Optimization with Application to Aircraft Wing Design"
📄 AIAA-2025-3474

🔹 Safa A. Bakhshi
University of Michigan
"Coupled Trajectory and Aerostructural Optimization of a UAV with Modular Morphing Wings"
📄 AIAA-2025-3626

💡 Thank you to all the authors for pushing the boundaries of MDO and for contributing high-quality research to this year's competition!

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On behalf of the MDO Technical Committee
Ana Cuco
EMBRAER
MDO Technical Committee Vice Chair
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