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I'm a PhD Candidate in Aerospace Engineering at the Georgia Institute of Technology. I work in the Structural Analysis and Multidisciplinary Design Optimization Research lab (SMDO) at Georgia Tech under Dr. Graeme Kennedy. My research interests include aeroelasticity, structural analysis, and fluid mechanics. I also work on machine learning from time to time.

Email: [email protected]

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Sean Engelstad's Projects

aecar icon aecar

Controls Project for Autonomous Cars

aero_ml icon aero_ml

Machine learning for time series physics problems in Aerospace Engineering

caps2fun icon caps2fun

Interface between CAPS and FUNtoFEM to enable parameterization of design variables and automatically generate coupled structure and fluid meshes.

caps2tacs icon caps2tacs

Interface for optimization of ESP/CAPS geometries with the TACS composite structures solver

esp-caps icon esp-caps

conda package for ESP/CAPS hosted by smdogroup

funtofem icon funtofem

Generic aerothermoelastic analysis and adjoint-based gradient evaluation tools

ml_buckling icon ml_buckling

Machine Learning Surrogate Models of Stiffened Panel Buckling for Aircraft Structural Optimization

pynastran icon pynastran

A Python-based interface tool for Nastran's file formats

structhess icon structhess

Applying a2d methods to determine Hessians for structural optimization

tacs icon tacs

Finite-element library for analysis and adjoint-based gradient evaluation

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

twistfoil icon twistfoil

Repo to build reduced-order model airfoils for optimization

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