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2020 – today
- 2025
[j6]Abhijeet Sahu
, Truc D. T. Nguyen, Kejun Chen, Xiangyu Zhang, Malik Hassanaly:
Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method. IEEE Access 13: 12411-12426 (2025)- [j5]Graham Pash, Malik Hassanaly, Shashank Yellapantula:
a priori uncertainty quantification of reacting turbulence closure models using Bayesian neural networks. Eng. Appl. Artif. Intell. 141: 109821 (2025) - [j4]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:
SUNDIALS time integrators for exascale applications with many independent systems of ordinary differential equations. Int. J. High Perform. Comput. Appl. 39(1): 123-146 (2025) - 2024
- [c1]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:
The Pele Simulation Suite for Reacting Flows at Exascale. PP 2024: 13-25 - [i15]Graham Pash, Malik Hassanaly, Shashank Yellapantula:
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks. CoRR abs/2402.18729 (2024) - [i14]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:
SUNDIALS Time Integrators for Exascale Applications with Many Independent ODE Systems. CoRR abs/2405.01713 (2024) - [i13]Malik Hassanaly, Nicholas T. Wimer, Anne Felden, Lucas Esclapez, Julia Ream, Marc T. Henry de Frahan, Jon S. Rood, Marc Day:
Symbolic construction of the chemical Jacobian of quasi-steady state (QSS) chemistries for Exascale computing platforms. CoRR abs/2405.05974 (2024) - [i12]Romesh Prasad, Malik Hassanaly, Xiangyu Zhang, Abhijeet Sahu:
Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning. CoRR abs/2408.16958 (2024) - [i11]Abhijeet Sahu, Truc Nguyen, Kejun Chen, Xiangyu Zhang, Malik Hassanaly:
Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method. CoRR abs/2409.04609 (2024) - [i10]Pooja Aslami, Kejun Chen, Timothy M. Hansen, Malik Hassanaly:
Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability. CoRR abs/2411.10367 (2024) - [i9]Kejun Chen, Truc Nguyen, Malik Hassanaly:
Adversarial Multi-Agent Reinforcement Learning for Proactive False Data Injection Detection. CoRR abs/2411.12130 (2024) - 2023
- [i8]Alex Rybchuk, Malik Hassanaly, Nicholas Hamilton, Paula Doubrawa, Mitchell J. Fulton, Luis A. Martínez-Tossas:
Generating Initial Conditions for Ensemble Data Assimilation of Large-Eddy Simulations with Latent Diffusion Models. CoRR abs/2303.00836 (2023) - [i7]Malik Hassanaly, Peter J. Weddle, Ryan N. King, Subhayan De, Alireza Doostan, Corey R. Randall, Eric J. Dufek, Andrew M. Colclasure, Kandler Smith:
PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model. CoRR abs/2312.17329 (2023) - [i6]Malik Hassanaly, Peter J. Weddle, Ryan N. King, Subhayan De, Alireza Doostan, Corey R. Randall, Eric J. Dufek, Andrew M. Colclasure, Kandler Smith:
PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model. CoRR abs/2312.17336 (2023) - 2022
- [j3]Malik Hassanaly, Andrew Glaws, Karen Stengel, Ryan N. King:
Adversarial sampling of unknown and high-dimensional conditional distributions. J. Comput. Phys. 450: 110853 (2022) - [i5]Subhayan De, Malik Hassanaly, Matthew J. Reynolds, Ryan N. King, Alireza Doostan:
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets. CoRR abs/2204.00997 (2022) - 2021
- [i4]Malik Hassanaly, Andrew Glaws, Karen Stengel, Ryan N. King:
Adversarial sampling of unknown and high-dimensional conditional distributions. CoRR abs/2111.05962 (2021) - [i3]Malik Hassanaly, Andrew Glaws, Ryan N. King:
GANISP: a GAN-assisted Importance SPlitting Probability Estimator. CoRR abs/2112.15444 (2021) - [i2]Malik Hassanaly, Bruce A. Perry, Michael E. Mueller, Shashank Yellapantula:
Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows. CoRR abs/2112.15446 (2021) - 2020
- [j2]Maryam Akram, Malik Hassanaly, Venkat Raman:
A priori analysis of reduced description of dynamical systems using approximate inertial manifolds. J. Comput. Phys. 409: 109344 (2020)
2010 – 2019
- 2019
- [j1]Malik Hassanaly, Venkat Raman:
Numerical convergence of the Lyapunov spectrum computed using low Mach number solvers. J. Comput. Phys. 386: 467-485 (2019) - [i1]Shivam Barwey, Malik Hassanaly, Venkat Raman, Adam Steinberg:
Using machine learning to construct velocity fields from OH-PLIF images. CoRR abs/1909.13669 (2019)
Coauthor Index
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