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Amir H. Khodabakhsh

3 papers hereh-index 234 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • eess.SY1

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedA Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systems

25 citations · 40 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SY2025★ 2 cited

A Deep Learning Density Shaping Model Predictive Gust Load Alleviation Control of a Compliant Wing Subjected to Atmospheric Turbulence

Seid H. Pourtakdoust, Amir H. Khodabakhsh

This study presents a novel deep learning approach aimed at enhancing stochastic Gust Load Alleviation (GLA) specifically for compliant wings. The approach incorporates the concept…

cs.LG2023★ 13 cited

Solution of FPK Equation for Stochastic Dynamics Subjected to Additive Gaussian Noise via Deep Learning Approach

Amir H. Khodabakhsh, Seid H. Pourtakdoust

The Fokker-Plank-Kolmogorov (FPK) equation is an idealized model representing many stochastic systems commonly encountered in the analysis of stochastic structures as well as many…

cs.LG2022★ 25 cited

A Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systems

Seid H. Pourtakdoust, Amir H. Khodabakhsh

Derivation of the probability density evolution provides invaluable insight into the behavior of many stochastic systems and their performance. However, for most real-time applica-…

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