62 citations · 76 across the 8 of their papers we have counts for
8 papers
Dual guidance: ROM-informed field reconstruction with generative models
Sajad Salavatidezfouli, Henrik Karstoft, Alexandros Iosifidis +1
We present a dual-guided framework for reconstructing unsteady incompressible flow fields using sparse observations. The approach combines optimized sensor placement with a physics…
Stochastic Parameter Prediction in Cardiovascular Problems
Kabir Bakhshaei, Sajad Salavatidezfouli, Giovanni Stabile +1
Patient-specific modeling of cardiovascular flows with high-fidelity is challenging due to its dependence on accurately estimated velocity boundary profiles, which are essential fo…
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction
Giuseppe Alessio D'Inverno, Saeid Moradizadeh, Sajad Salavatidezfouli +2
The complexity of the cardiovascular system needs to be accurately reproduced in order to promptly acknowledge health conditions; to this aim, advanced multifidelity and multiphysi…
A Predictive Surrogate Model for Heat Transfer of an Impinging Jet on a Concave Surface
Sajad Salavatidezfouli, Saeid Rakhsha, Armin Sheidani +2
This paper aims to comprehensively investigate the efficacy of various Model Order Reduction (MOR) and deep learning techniques in predicting heat transfer in a pulsed jet impingin…
Modal Analysis of the Wake Shed Behind a Horizontal Axis Wind Turbine with Flexible Blades
Sajad Salavatidezfouli, Armin Sheidani, Kabir Bakhshaei +4
The proper orthogonal decomposition has been applied on a full-scale horizontal-axis wind turbine to shed light on the wake characteristics behind the wind turbine. In reality, the…
Deep Reinforcement Learning for the Heat Transfer Control of Pulsating Impinging Jets
Sajad Salavatidezfouli, Giovanni Stabile, Gianluigi Rozza
This research study explores the applicability of Deep Reinforcement Learning (DRL) for thermal control based on Computational Fluid Dynamics. To accomplish that, the forced convec…