Malik Hassanaly

23 papers A* 1Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method. IEEE Access Abhijeet Sahu, Truc D. T. Nguyen, Kejun Chen, Xiangyu Zhang, Malik Hassanaly
2025	J	`jnl`	SUNDIALS time integrators for exascale applications with many independent systems of ordinary differential equations. Int. J. High Perform. Comput. Appl. 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
2025	A*	`conf`	Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models. ICLR Nguyen Hoang Khoi Do, Truc Nguyen, Malik Hassanaly, Raed Alharbi, Jung Taek Seo, My T. Thai
2025	J	`jnl`	Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models. CoRR Nguyen Do, Truc D. T. Nguyen, Malik Hassanaly, Raed Alharbi, Jung Taek Seo, My T. Thai
2025	J	`jnl`	a priori uncertainty quantification of reacting turbulence closure models using Bayesian neural networks. Eng. Appl. Artif. Intell. Graham Pash, Malik Hassanaly, Shashank Yellapantula
2024	J	`jnl`	A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks. CoRR Graham Pash, Malik Hassanaly, Shashank Yellapantula
2024	J	`jnl`	Adversarial Multi-Agent Reinforcement Learning for Proactive False Data Injection Detection. CoRR Kejun Chen, Truc Nguyen, Malik Hassanaly
2024	J	`jnl`	Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability. CoRR Pooja Aslami, Kejun Chen, Timothy M. Hansen, Malik Hassanaly
2024	J	`jnl`	Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method. CoRR Abhijeet Sahu, Truc Nguyen, Kejun Chen, Xiangyu Zhang, Malik Hassanaly
2024	J	`jnl`	Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning. CoRR Romesh Prasad, Malik Hassanaly, Xiangyu Zhang, Abhijeet Sahu
2024	J	`jnl`	SUNDIALS Time Integrators for Exascale Applications with Many Independent ODE Systems. CoRR 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
2024	J	`jnl`	Symbolic construction of the chemical Jacobian of quasi-steady state (QSS) chemistries for Exascale computing platforms. CoRR Malik Hassanaly, Nicholas T. Wimer, Anne Felden, Lucas Esclapez, Julia Ream, Marc T. Henry de Frahan, Jon S. Rood, Marc Day
2024	—	`conf`	The Pele Simulation Suite for Reacting Flows at Exascale. PP 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, Olga A. Doronina, Sreejith N. A., Martin Rieth, Wenjun Ge, Ramanan Sankaran, Ann S. Almgren, Weiqun Zhang, John B. Bell, Ray W. Grout, Marc Day, Jacqueline H. Chen
2023	J	`jnl`	Generating Initial Conditions for Ensemble Data Assimilation of Large-Eddy Simulations with Latent Diffusion Models. CoRR Alex Rybchuk, Malik Hassanaly, Nicholas Hamilton, Paula Doubrawa, Mitchell J. Fulton, Luis A. Martínez-Tossas
2023	J	`jnl`	PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model. CoRR Malik Hassanaly, Peter J. Weddle, Ryan N. King, Subhayan De, Alireza Doostan, Corey R. Randall, Eric J. Dufek, Andrew M. Colclasure, Kandler Smith
2023	J	`jnl`	PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model. CoRR Malik Hassanaly, Peter J. Weddle, Ryan N. King, Subhayan De, Alireza Doostan, Corey R. Randall, Eric J. Dufek, Andrew M. Colclasure, Kandler Smith
2022	J	`jnl`	Adversarial sampling of unknown and high-dimensional conditional distributions. J. Comput. Phys. Malik Hassanaly, Andrew Glaws, Karen Stengel, Ryan N. King
2022	J	`jnl`	Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets. CoRR Subhayan De, Malik Hassanaly, Matthew J. Reynolds, Ryan N. King, Alireza Doostan
2021	J	`jnl`	Adversarial sampling of unknown and high-dimensional conditional distributions. CoRR Malik Hassanaly, Andrew Glaws, Karen Stengel, Ryan N. King
2021	J	`jnl`	GANISP: a GAN-assisted Importance SPlitting Probability Estimator. CoRR Malik Hassanaly, Andrew Glaws, Ryan N. King
2021	J	`jnl`	Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows. CoRR Malik Hassanaly, Bruce A. Perry, Michael E. Mueller, Shashank Yellapantula
2019	J	`jnl`	Numerical convergence of the Lyapunov spectrum computed using low Mach number solvers. J. Comput. Phys. Malik Hassanaly, Venkat Raman
2019	J	`jnl`	Using machine learning to construct velocity fields from OH-PLIF images. CoRR Shivam Barwey, Malik Hassanaly, Venkat Raman, Adam Steinberg