PNNL

Shady Ahmed, PhD, is a postdoctorate research associate in the Physical and Computational Sciences Directorate at Pacific Northwest National Laboratory (PNNL). Since joining PNNL in August 2022, he has been developing scientific machine learning frameworks aimed at accelerating the solution of complex dynamical systems governed by partial differential equations. Dr. Ahmed’s pioneering research integrates deep learning methodologies with numerical simulations. He leverages extensive expertise in scientific computing, reduced-order modeling, uncertainty quantification, and parameter estimation.

Dr. Ahmed earned his PhD in mechanical and aerospace engineering from Oklahoma State University. His remarkable accomplishments earned him the PNNL Distinguished Fellowship in Scientific Computing, an honor supported by the Department of Energy’s Advanced Scientific Computing Research program. Before that, he was recognized as a Wallace Givens Associate at Argonne National Laboratory, where he contributed to developing stochastic learning algorithms for optimal experimental design. His prolific research career has produced numerous peer-reviewed publications and conference presentations. Additionally, he has developed open-source software tools, further underscoring his commitment to advancing scientific knowledge and practical applications in his field.

• Computational mechanics
• Geophysical fluid dynamics
• Energy systems
• Dynamical systems
• Digital twins
• Scientific machine learning
• Reduced-order modeling
• Inverse problems

• PhD in Mechanical & Aerospace Engineering, Oklahoma State University
• MS in Mechanical Power Engineering, Mansoura University
• BS in Mechanical Power Engineering, Mansoura University

• American Physical Society
• U.S. Association for Computational Mechanics
• Society for Industrial and Applied Mathematics
• American Institute of Aeronautics and Astronautics

• Physical and Computational Sciences Directorate Outstanding Performance Award, PNNL (2023).

2025

Benjamin Sanderse, Panos Stinis, Romit Maulik, and Shady E. Ahmed. “Scientific machine learning for closure models in multi-scale problems: a review.” Foundations of Data Science 7 (2025).

Amanda A. Howard, Sarah Murphy, Shady E. Ahmed, and Panos Stinis. “Stacked networks improve physics-informed training: applications to neural networks and deep operator networks.” Foundations of Data Science 7 (2025).

2024

Abhijit Chowdhary, Shady E. Ahmed, and Ahmed Attia. “PyOED: An extensible suite for data assimilation and model-constrained optimal design of experiments.” Transactions on Mathematical Software 50 (2024).

2023

Shady E. Ahmed and Panos Stinis. “A Multifidelity deep operator network approach to closure for multiscale systems.” Computer Methods in Applied Mechanics and Engineering 414 (2023).

Shady E. Ahmed, Omer San, Sivaramakrishnan Lakshmivarahan, and John M. Lewis. “On the twin advantage of placing observations through forward sensitivity analysis.” Proceedings of the Royal Society A 479 (2023).

Shady E. Ahmed, Omer San, Adil Rasheed, Traian Iliescu, and Alessandro Veneziani. “Physics guided machine learning for variational multiscale reduced order modeling.” SIAM Journal on Scientific Computing 45 (2023).

Shady E. Ahmed and Omer San. “Forward sensitivity analysis and mode dependent control for closure modeling of Galerkin systems.” Computers and Mathematics with Applications 145 (2023).

2022

Pedram H. Dabaghian, Shady E. Ahmed, and Omer San. “Nonintrusive reduced order modelling of convective Boussinesq flows.” International Journal of Computational Fluid Dynamics 36 (2022).

Shady E. Ahmed, Pedram H. Dabaghian, Omer San, Diana A. Bistrian, and Ionel M. Navon. “Dynamic mode decomposition with core sketch.” Physics of Fluids 34 (2022).

2021

Shady E. Ahmed, Omer San, Adil Rasheed, and Traian Iliescu. “Nonlinear proper orthogonal decomposition for convection-dominated flows.” Physics of Fluids 33 (2021).

Shady E. Ahmed, Suraj Pawar, Omer San, Adil Rasheed, Traian Iliescu, and Bernd R. Noack. “On closures for reduced order models − A spectrum of first-principle to machine-learned avenues.” Physics of Fluids 33 (2021).

Shady E. Ahmed, Suraj Pawar, Omer San, Adil Rasheed, and Mandar Tabib. “A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction.” Computers & Fluids 221 (2021).

Shady E. Ahmed, Omer San, Kursat Kara, Rami Younis, and Adil Rasheed. “Multifidelity computing for coupling full and reduced order models.” PLoS ONE 16 (2021).

2020

Shady E. Ahmed, Suraj Pawar, and Omer San, “PyDA: A hands-on introduction to dynamical data assimilation with Python.”. Fluids 5 (2020).

Shady E. Ahmed, Omer San, Kursat Kara, Rami Younis, and Adil Rasheed. “Interface learning of multiphysics and multiscale systems.” Physical Review E 102 (2020).

Shady E. Ahmed, Kinjal Bhar, Omer San, and Adil Rasheed. “Forward sensitivity approach for estimating eddy viscosity closures in nonlinear model reduction.” Physical Review E 102 (2020).

Suraj Pawar, Shady E. Ahmed, and Omer San. “Interface learning in fluid dynamics: Statistical inference of closures within micro–macro-coupling models.” Physics of Fluids 32 (2020).

Suraj Pawar, Shady E. Ahmed, Omer San, Adil Rasheed, and Ionel M. Navon. “Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows.” Physics of Fluids 32 (2020).

Shady E. Ahmed, Omer San, Adil Rasheed, and Traian Iliescu. “A long short-term memory embedding for hybrid uplifted reduced order models.” Physica D: Nonlinear Phenomena 409 (2020).

Suraj Pawar, Shady E. Ahmed, Omer San, and Adil Rasheed. “An evolve-then-correct reduced order model for hidden fluid dynamics.” Mathematics 8 (2020).

Shady E. Ahmed, and Omer San. “Breaking the Kolmogorov barrier in model reduction of fluid flows.” Fluids 5 (2020).

Suraj Pawar, Shady E. Ahmed, Omer San, and Adil Rasheed. “Data-driven recovery of hidden physics in reduced order modeling of fluid flows.” Physics of Fluids 32 (2020).

Shady E. Ahmed, Omer San, Diana A. Bistrian, and Ionel M. Navon. “Sampling and resolution characteristics in reduced order models of shallow water equations: Intrusive vs nonintrusive.” International Journal for Numerical Methods in Fluids 92 (2020).

2019

Shady E. Ahmed, Sk Mashfiqur Rahman, Omer San, Adil Rasheed, and Ionel M. Navon.“Memory embedded non-intrusive reduced order modeling of non-ergodic flows.” Physics of Fluids 31 (2019).

Sk Mashfiqur Rahman, Shady E. Ahmed, and Omer San. “A dynamic closure modeling framework for model order reduction of geophysical flows.” Physics of Fluids 31 (2019).

2017

Shady E. Ahmed, Ahmed Hegazi, Salah El-Emam, and Farouk Okasha. “Dynamic model of calcium looping carbonator using alternating bubbling beds with gas switching.” Fuel 208 (2017).