Alireza Doostan

University of Colorado Boulder — United States

Decision Sciences · Social Sciences

32h-index3.9kcitations184works1.92yr avg
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Research Topics

Probabilistic and Robust Engineering Design(88), Model Reduction and Neural Networks(45), Advanced Multi-Objective Optimization Algorithms(36), Structural Health Monitoring Techniques(18), Wind and Air Flow Studies(16)

Publications184 total

Learning Gradient Flow: Using Equation Discovery to Accelerate Engineering Optimization
ArXiv.org·2026Open Access
Learning Gradient Flow: Using Equation Discovery to Accelerate Engineering Optimization
arXiv (Cornell University)·2026Open Access
Inferring Titan Atmosphere Methane Content From Dragonfly Backshell Radiation Measurements
2026
Bi-fidelity interpolative decomposition for multimodal data
Computer Methods in Applied Mechanics and Engineering·2026
In Situ Training of Implicit Neural Compressors for Scientific Simulations via Sketch-Based Regularization
SSRN Electronic Journal·2026Open Access
LEARNING GRADIENT FLOW: USING EQUATION DISCOVERY TO ACCELERATE ENGINEERING OPTIMIZATION
SSRN Electronic Journal·2026Open Access
Calibrating a finite-strain phase-field model of fracture for bonded granular materials with uncertainty quantification
Journal of Applied Physics·2025Open Access
Solving Engineering Eigenvalue Problems With Neural Networks Using the Rayleigh Quotient
International Journal for Numerical Methods in Engineering·2025
In Situ Training of Implicit Neural Compressors for Scientific Simulations via Sketch-Based Regularization
arXiv (Cornell University)·2025Open Access
Langevin Bifidelity Importance Sampling for Failure Probability Estimation
Journal of Mechanical Design·2025· 1 cited
Bi-fidelity Interpolative Decomposition for Multimodal Data
arXiv (Cornell University)·2025Open Access
Calibrating a Finite-strain Phase-field Model of Fracture for Bonded Granular Materials with Uncertainty Quantification
arXiv (Cornell University)·2025Open Access
Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method
Computer Methods in Applied Mechanics and Engineering·2025
Sensitivity of Dragonfly Afterbody Radiation to Chemical Kinetic Parameters and Freestream Methane
2025· 1 cited
Risk-Aware Aerocapture Guidance Through a Probabilistic Indicator Function
arXiv (Cornell University)·2025Open Access
Solving engineering eigenvalue problems with neural networks using the Rayleigh quotient
arXiv (Cornell University)·2025Open Access
On the definition and importance of interpretability in scientific machine learning
arXiv (Cornell University)·2025Open Access
Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method
arXiv (Cornell University)·2025Open Access
Physically Interpretable Representation and Controlled Generation for Turbulence Data
2025
Physically Interpretable Representation and Controlled Generation for Turbulence Data
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Gianluca Iaccarino(10), Jerrad Hampton(9), Subhayan De(8), Kurt Maute(6), Roger Ghanem(4), Brandon A. Jones(4), Hillary Fairbanks(4), Christapher Lang(3), Malik Hassanaly(3), Ryan King(3), Lluís Jofre(3), Gianluca Geraci(3), John Red-Horse(2), Ji Peng(2), Mohammad Hadigol(2), Iman Hajirasouliha(2), Matthew Reynolds(2), Ryan Skinner(2), Kenneth E. Jansen(2), Daniele E. Schiavazzi(2)