Malik Hassanaly

Orcid: 0000-0002-0425-9090

According to our database¹, Malik Hassanaly authored at least 20 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

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On csauthors.net:

Bibliography

2025

SUNDIALS time integrators for exascale applications with many independent systems of ordinary differential equations.

[BibT_eX]

[DOI]

Int. J. High Perform. Comput. Appl., 2025

a priori uncertainty quantification of reacting turbulence closure models using Bayesian neural networks.

[BibT_eX]

[DOI]

Graham Pash

Malik Hassanaly

Shashank Yellapantula

Eng. Appl. Artif. Intell., 2025

Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method.

[BibT_eX]

[DOI]

IEEE Access, 2025

2024

Adversarial Multi-Agent Reinforcement Learning for Proactive False Data Injection Detection.

[BibT_eX]

[DOI]

Kejun Chen

Truc Nguyen

Malik Hassanaly

CoRR, 2024

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability.

[BibT_eX]

[DOI]

CoRR, 2024

Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method.

[BibT_eX]

[DOI]

CoRR, 2024

Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Symbolic construction of the chemical Jacobian of quasi-steady state (QSS) chemistries for Exascale computing platforms.

[BibT_eX]

[DOI]

Marc T. Henry de Frahan

Jon S. Rood

Marc Day

CoRR, 2024

SUNDIALS Time Integrators for Exascale Applications with Many Independent ODE Systems.

[BibT_eX]

[DOI]

CoRR, 2024

The Pele Simulation Suite for Reacting Flows at Exascale.

[BibT_eX]

[DOI]

Proceedings of the 2024 SIAM Conference on Parallel Processing for Scientific Computing, 2024

2023

PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model.

[BibT_eX]

[DOI]

CoRR, 2023

PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model.

[BibT_eX]

[DOI]

CoRR, 2023

Generating Initial Conditions for Ensemble Data Assimilation of Large-Eddy Simulations with Latent Diffusion Models.

[BibT_eX]

[DOI]

Luis A. Martínez-Tossas

CoRR, 2023

2022

Adversarial sampling of unknown and high-dimensional conditional distributions.

[BibT_eX]

[DOI]

J. Comput. Phys., 2022

Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows.

[BibT_eX]

[DOI]

Malik Hassanaly

Bruce A. Perry

Michael E. Mueller

Shashank Yellapantula

CoRR, 2021

GANISP: a GAN-assisted Importance SPlitting Probability Estimator.

[BibT_eX]

[DOI]

Malik Hassanaly

Andrew Glaws

Ryan N. King

CoRR, 2021

2020

<i>A priori</i> analysis of reduced description of dynamical systems using approximate inertial manifolds.

[BibT_eX]

[DOI]

Maryam Akram

Malik Hassanaly

Venkat Raman

J. Comput. Phys., 2020

2019

Numerical convergence of the Lyapunov spectrum computed using low Mach number solvers.

[BibT_eX]

[DOI]

Malik Hassanaly

Venkat Raman

J. Comput. Phys., 2019

Using machine learning to construct velocity fields from OH-PLIF images.

[BibT_eX]

[DOI]

CoRR, 2019

Malik Hassanaly

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