Using machine learning to construct velocity fields from OH-PLIF images. - Shivam Barwey; Malik Hassanaly; Venkat Raman; Adam Steinberg (CoRR, 2019)

Numerical convergence of the Lyapunov spectrum computed using low Mach number solvers. - Malik Hassanaly; Venkat Raman (J. Comput. Phys., 2019)

A priori analysis of reduced description of dynamical systems using approximate inertial manifolds. - Maryam Akram; Malik Hassanaly; Venkat Raman (J. Comput. Phys., 2020)

GANISP: a GAN-assisted Importance SPlitting Probability Estimator. - Malik Hassanaly; Andrew Glaws; Ryan N. King (CoRR, 2021)

Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows. - Malik Hassanaly; Bruce A. Perry; Michael E. Mueller; Shashank Yellapantula (CoRR, 2021)

Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets. - Subhayan De; Malik Hassanaly; Matthew J. Reynolds; Ryan N. King; Alireza Doostan (CoRR, 2022)

Adversarial sampling of unknown and high-dimensional conditional distributions. - Malik Hassanaly; Andrew Glaws; Karen Stengel; Ryan N. King (J. Comput. Phys., 2022)

Generating Initial Conditions for Ensemble Data Assimilation of Large-Eddy Simulations with Latent Diffusion Models. - Alex Rybchuk; Malik Hassanaly; Nicholas Hamilton; Paula Doubrawa; Mitchell J. Fulton; Luis A. Martínez-Tossas (CoRR, 2023)

PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model. - Malik Hassanaly; Peter J. Weddle; Ryan N. King; Subhayan De; Alireza Doostan; Corey R. Randall; Eric J. Dufek; Andrew M. Colclasure; Kandler Smith (CoRR, 2023)

PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model. - Malik Hassanaly; Peter J. Weddle; Ryan N. King; Subhayan De; Alireza Doostan; Corey R. Randall; Eric J. Dufek; Andrew M. Colclasure; Kandler Smith (CoRR, 2023)

The Pele Simulation Suite for Reacting Flows at Exascale. - Marc T. Henry de Frahan; Lucas Esclapez; Jon S. Rood; Nicholas T. Wimer; Paul Mullowney; Bruce A. Perry; Landon Owen; Hariswaran Sitaraman; Shashank Yellapantula; Malik Hassanaly; Mohammad J. Rahimi; Michael James Martin; et al. (PP, 2024)

SUNDIALS Time Integrators for Exascale Applications with Many Independent ODE Systems. - Cody J. Balos; Marc Day; Lucas Esclapez; Anne Felden; David J. Gardner; Malik Hassanaly; Daniel R. Reynolds; Jon S. Rood; Jean M. Sexton; Nicholas T. Wimer; Carol S. Woodward (CoRR, 2024)

Symbolic construction of the chemical Jacobian of quasi-steady state (QSS) chemistries for Exascale computing platforms. - Malik Hassanaly; Nicholas T. Wimer; Anne Felden; Lucas Esclapez; Julia Ream; Marc T. Henry de Frahan; Jon S. Rood; Marc Day (CoRR, 2024)

Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning. - Romesh Prasad; Malik Hassanaly; Xiangyu Zhang 010; Abhijeet Sahu (CoRR, 2024)

Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method. - Abhijeet Sahu; Truc Nguyen; Kejun Chen; Xiangyu Zhang 010; Malik Hassanaly (CoRR, 2024)

Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability. - Pooja Aslami; Kejun Chen; Timothy M. Hansen; Malik Hassanaly (CoRR, 2024)

Adversarial Multi-Agent Reinforcement Learning for Proactive False Data Injection Detection. - Kejun Chen; Truc Nguyen; Malik Hassanaly (CoRR, 2024)

Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models. - Nguyen Hoang Khoi Do; Truc Nguyen; Malik Hassanaly; Raed Alharbi; Jung Taek Seo; My T. Thai (ICLR, 2025)

Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method. - Abhijeet Sahu; Truc D. T. Nguyen; Kejun Chen; Xiangyu Zhang 010; Malik Hassanaly (IEEE Access, 2025)

a priori uncertainty quantification of reacting turbulence closure models using Bayesian neural networks. - Graham Pash; Malik Hassanaly; Shashank Yellapantula (Eng. Appl. Artif. Intell., 2025)

SUNDIALS time integrators for exascale applications with many independent systems of ordinary differential equations. - Cody J. Balos; Marcus Day; Lucas Esclapez; Anne M. Felden; David J. Gardner; Malik Hassanaly; Daniel R. Reynolds; Jon S. Rood; Jean M. Sexton; Nicholas T. Wimer; Carol S. Woodward (Int. J. High Perform. Comput. Appl., 2025)

Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models. - Nguyen Do; Truc D. T. Nguyen; Malik Hassanaly; Raed Alharbi; Jung Taek Seo; My T. Thai (CoRR, 2025)