Data-Efficient Neural Operator Surrogates for Nonlinear Pitch Dynamics of Blunt-Body Reentry Vehicles
B. Tiwari, A. K. Kassem, S. A. S. Romeo, D. Ekelschot, C. Kazemba, K. Kara and O. San
Data Meets Dynamics: Workshop on Data Assimilation for Complex Systems and Applications, Discovery Building, Madison, WI, August 21—22, 2025
A Parametric ROM Framework for Inverse Problems in High-Speed Flows
B. Tiwari and O. San
SIAM Conference on Computational Science and Engineering (CSE25), Fort Worth, TX, USA, March 3—7, 2025
Modal Energy-Based Assessment of Genesis Capsule Stability Using Dynamic Mode Decomposition
A. K. Kassem, S. A. S. Romeo, B. Tiwari, O. San and K. Kara
3rd Annual Dynamic Stability Summit, NASA Ames Research Center, April 2025
A Y-network encoder-decoder model for predicting vorticity fields from kinetic energy spectra in 2D decaying turbulence
M. Dhingra, O. San and A. Staples
APS Division of Fluid Dynamics Meeting Abstracts, A15.009, 2024
Meta-Learning for Dynamic Stability Analysis of Atmospheric Entry Vehicles
S. A. S. Romeo, F. Oz, A. K. Kassem, O. San and K. Kara
APS Division of Fluid Dynamics Meeting Abstracts, S01.075, 2024
Dynamic Mode Decomposition of Wake Flow Structures for Supersonic Oscillating Genesis Atmospheric Entry Capsule
A. K. Kassem, S. A. S. Romeo, B. Tiwari, O. San and K. Kara
APS Division of Fluid Dynamics Meeting Abstracts, ZC11.003, 2024
Using Data Fusion to Analyze Dynamic Stability of Atmospheric Entry Vehicles
S. A. S. Romeo, A. K. Kassem, B. Tiwari, O. San and K. Kara
SIAM Student Chapter Bi-Weekly Seminar, Oklahoma State University, 2024
Harnessing the power of natural language processing techniques for multiscale turbulence simulation
M. Dhingra, O. San and A. Staples
76th Annual Meeting of the APS Division of Fluid Dynamics, Washington, DC, November 19—21, 2023
Markov Chain Monte Carlo-Based Parameter Estimation for Entry Descend and Landing Applications
F. Oz, S. A. S. Romeo, A. K. Kassem, K. Kara and O. San
76th Annual Meeting of the APS Division of Fluid Dynamics, Washington, DC, November 19—21, 2023
A deep learning based closure model for the multiscale evolution of Burgers turbulence
M. Dhingra, A. Staples and O. San
75th Annual Meeting of the APS Division of Fluid Dynamics, Indianapolis, IN, November 20—22, 2022
Inductive bias and information fusion with concatenated neural networks
O. San, S. Pawar, P. Vedula, A. Rasheed and T. Kvamsdal
75th Annual Meeting of the APS Division of Fluid Dynamics, Indianapolis, IN, November 20—22, 2022
Nonintrusive reduced order modeling of convective Boussinesq flows
P. H. Dabaghian and O. San
7th Annual Meeting of SIAM Central States Section, October 1—2, 2022, Oklahoma State University, Stillwater, OK (SIAM-CSS 2022)
Nonlinear proper orthogonal decomposition approach for modeling Rayleigh Bénard convection
S. Akbari and O. San
7th Annual Meeting of SIAM Central States Section, October 1—2, 2022, Oklahoma State University, Stillwater, OK (SIAM-CSS 2022)
Automatic Mixed-Precision (AMP) Computational Fluid Dynamics (CFD)
M. Zomorodiyan and O. San
7th Annual Meeting of SIAM Central States Section, October 1—2, 2022, Oklahoma State University, Stillwater, OK (SIAM-CSS 2022)
Fluid flow modeling in elastic networking tubes
S. Romeo and O. San
7th Annual Meeting of SIAM Central States Section, October 1—2, 2022, Oklahoma State University, Stillwater, OK (SIAM-CSS 2022)
Hierarchical learning to reduced order modeling
S. E. Ahmed, O. San, A. Rasheed, T. Iliescu and A. Veneziani
AIAA Aviation Forum, Chicago, Illinois, 27 June—1 July 2022
Real-Time Shape Optimization of the Total Cavopulmonary Connection in Fontan Surgical Planning Via Reduced Order Modeling
I. Shah, L. Dasi, T. Iliescu, O. San and A. Veneziani
2022 Summer Biomechanics, Bioengineering, and Biotransport Conference, June 20—23, 2022, Eastern Shore, Maryland
Physics-constrained deep learning for subgrid modeling in geophysical flows
S. Pawar and O. San
4th MAE Graduate Research Symposium, Oklahoma State University, Stillwater, OK, March 30, 2022
Hierarchical learning to generate surrogate models in fluid dynamics
S. E. Ahmed and O. San
4th MAE Graduate Research Symposium, Oklahoma State University, Stillwater, OK, March 30, 2022
Nonlinear proper orthogonal decomposition for compressible flows
M. Zomorodiyan and O. San
4th MAE Graduate Research Symposium, Oklahoma State University, Stillwater, OK, March 30, 2022
Modeling networking flows in elastic tubes
S. Romeo and O. San
4th MAE Graduate Research Symposium, Oklahoma State University, Stillwater, OK, March 30, 2022
Towards physics-aware model reduction and data compression
S. E. Ahmed, S. Pawar, O. San and A. Rasheed
The NSF AI Planning Institute for Data Driven Physics Workshop on AI Super-Resolution Simulations: from Climate Science to Cosmology, Carnegie Mellon University, Pittsburgh, PA, February 23—25, 2022
Physics-guided machine learning for surrogate modeling in fluid mechanics
S. Pawar, O. San and A. Rasheed
74th Annual Meeting of the APS Division of Fluid Dynamics, Phoenix, AZ, November 21—23, 2021
Physics-Guided Machine Learning Variational Multiscale Reduced Order Models
S. Ahmed, O. San, A. Rasheed, A. Veneziani and T. Iliescu
74th Annual Meeting of the APS Division of Fluid Dynamics, Phoenix, AZ, November 21—23, 2021
Combining machine learning and data assimilation for hybrid multi-level variational multiscale reduced order models
S. E. Ahmed, O. San, T. Iliescu and A. Veneziani
The Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology Conference (MMLDT-CSET 2021), San Diego, CA September 26—29, 2021
A hybrid variational multiscale and machine learning approach for nonlinear model order reduction
S. Ahmed, O. San, A. Veneziani and T. Iliescu
44th SIAM Southeastern Atlantic Section Conference (SIAM-SEAS), Auburn, AL, September 18—19, 2021
Interface Learning: Towards Seamless Integration of Multi-scale, Multi-physics and Multi-fidelity (M3) Models
S. Ahmed, S. Pawar, O. San and A. Rasheed
16th U.S. National Congress on Computational Mechanics (USNCCM16), Virtual Event, July 25—29, 2021
Physics guided machine learning in fluid dynamics
S. Pawar, O. San and A. Rasheed
16th U.S. National Congress on Computational Mechanics (USNCCM16), Virtual Event, July 25—29, 2021
Interface learning for coupling full and reduced order models in multifidelity simulations
S. E. Ahmed, O. San, K. Kara, R. Younis and A. Rasheed
40th ASME/AIAA Online Regional Symposium [Virtual], April 3, 2021
Deep learning approaches for subgrid scale parameterization in chaotic dynamical systems
S. Pawar and O. San
40th ASME/AIAA Online Regional Symposium [Virtual], April 3, 2021
Data assimilation for dynamic estimate of closure effect in reduced order models
S. E. Ahmed, O. San and A. Rasheed
SIAM CSE21 [Virtual], March 1—5, 2021
Interface closure in multi-fidelity computing via deep learning
S. Pawar, S. Ahmed and O. San
SIAM CSE21 [Virtual], March 1—5, 2021
Data assimilation assisted neural network parameterizations for subgrid processes in multiscale systems
S. Pawar and O. San
73rd Annual Meeting of the APS Division of Fluid Dynamics, Virtual Event, 2020
Interface learning paradigms for multi-scale and multi-physics systems
S. Ahmed, S. Pawar and O. San
73rd Annual Meeting of the APS Division of Fluid Dynamics, Virtual Event, 2020
Direct numerical simulation of turbulent flows in Python
S. Pawar and O. San
Poster presented at the Coalition for Advancing Digital Research & Education (CADRE) conference, Oklahoma State University, Stillwater, OK, April 17, 2020
Augmentation of nonlinear reduced order models via machine learning
S. E. Ahmed and O. San
3rd MAE Graduate Research Symposium, Oklahoma State University, Stillwater, OK, February 28, 2020
Hybrid analysis and modeling paradigm for reduced order modeling of fluid flows with unknown physics
S. Pawar, S. E. Ahmed and O. San
Poster presented at the 3rd MAE Graduate Research Symposium, Oklahoma State University, Stillwater, OK, February 28, 2020
Blind deconvolution of turbulent flows using super-resolution reconstruction
H. Vaddireddy and O. San
Poster presented at the 3rd MAE Graduate Research Symposium, Oklahoma State University, Stillwater, OK, February 28, 2020
Reduced order modeling of shallow water equations using dynamic mode decomposition
K. Bhar and O. San
Poster presented at the 3rd MAE Graduate Research Symposium, Oklahoma State University, Stillwater, OK, February 28, 2020
A nonintrusive reduced order modelling of magnetic skyrmions
M. Annaorazov, S. Ahmed, O. San and E. Turgut
APS March Meeting 2020, Denver, Colorado, March 2—6, 2020
Data-driven modeling for fluid dynamics: Turbulence closure, model order reduction, and super-resolution
S. Pawar, S. Ahmed, H. Vaddireddy, O. San, R. Maulik, D. T. Tran and A. Rasheed
Poster presented at the NSF Workshop on Exuberance of Machine Learning in Transport Phenomena, Southern Methodist University, Dallas, TX, February 10—11, 2020
Deep learning based sub-grid scale closure for LES of Kraichnan turbulence
S. Pawar, O. San and A. Rasheed
72nd Annual Meeting of the APS Division of Fluid Dynamics, Seattle, WA, November 23—26, 2019
LSTM based nonintrusive ROM of convective flows
S. E. Ahmed, S. M. Rahman, O. San and A. Rasheed
72nd Annual Meeting of the APS Division of Fluid Dynamics, Seattle, WA, November 23—26, 2019
A symbolic regression approach for the development of high accuracy defect correction schemes
H. Vaddireddy and O. San
72nd Annual Meeting of the APS Division of Fluid Dynamics, Seattle, WA, November 23—26, 2019
Deep reinforcement learning for path following and collision avoidance
C. Sterud, H. Robinson, S. Moe, A. Rasheed and O. San
5th Norwegian Big Data Symposium (NOBIDS) 2019, Trondheim, Norway, November 13, 2019
Model discovery using deterministic symbolic regression
H. Vaddireddy and O. San
39th Oklahoma AIAA/ASME Symposium, University of Tulsa, Tulsa, OK, April 6, 2019
Staggered reduced order model for shallow water equations: POD vs DMD
S. E. Ahmed and O. San
39th Oklahoma AIAA/ASME Symposium, University of Tulsa, Tulsa, OK, April 6,2019
Numerical assessment of higher order compact scheme for Poisson equation
S. Pawar and O. San
39th Oklahoma AIAA/ASME Symposium, University of Tulsa, Tulsa, OK, April 6, 2019
Improvement of air mixer performance for HVAC testing applications: CFD simulations (RP-1733)
M. Ahmed, O. San and C. K. Bach
39th Oklahoma AIAA/ASME Symposium, University of Tulsa, Tulsa, OK, April 6, 2019
On the development of robust reduced order model frameworks for partial differential equation systems: current status and future prospects
S. M. Rahman and O. San
39th Oklahoma AIAA/ASME Symposium, University of Tulsa, Tulsa, OK, April 6, 2019
Antimicrobial activity of sulphur-doped graphene quantum dots coupled with methylene blue for photodynamic therapy applications
A. Er, K. Kholikov, L. Cooper, E. Belekov and O. San
APS March Meeting 2019, Boston, MA, March 4—8, 2019
Laser-induced shock wave-assisted patterning on NiTi shape memory alloys
A. O. Er, C. Ottman, D. Sanford, E. Belekov, S. Ilhom, H. Karaca and O. San
International Society for Optics and Photonics, SPIE LASE, San Francisco, CA, 4 March, 2019
Data-driven filter estimation for the sub-grid modelling of Kraichnan turbulence
R. Maulik, O. San, A. Rasheed and P. Vedula
SIAM Conference on Computational Science and Engineering (CSE19), Spokane, WA, February 25—March 1, 2019
A hybrid approach for model order reduction of barotropic quasi-geostrophic turbulence
S. M. Rahman, O. San and A. Rasheed
SIAM Conference on Computational Science and Engineering (CSE19), Spokane, WA, February 25—March 1, 2019
Data-driven subgrid scale modeling of turbulence
O. San, S. M. Rahman and A. Rasheed
Poster presented at the DOE ASCR Applied Mathematics Principal Investigators’ (PI) Meeting, Rockville, MD January 29—30, 2019
Data-driven deconvolution for the large eddy simulation of Kraichnan turbulence
R. Maulik, O. San, A. Rasheed and P. Vedula
71st Annual Meeting of the APS Division of Fluid Dynamics, Atlanta, GA, November 18—20, 2018
A hybrid analytics paradigm combining physics-based modeling and data-driven modeling to accelerate incompressible flow solvers
O. San, S. M. Rahman and A. Rasheed
71st Annual Meeting of the APS Division of Fluid Dynamics, Atlanta, GA, November 18—20, 2018
Bacterial deactivation by using graphene quantum dot as an effective photodynamic therapy agent
E. Belekov, L. Cooper, K. Devarakonda, K. Kholikov, S. Ilhom, M. Smith, J. Monroe, O. San and A. Er
85th Annual Meeting of the APS Southeastern Section, Knoxville, TN, November 8—10, 2018
Physics-based artificial neural network formulations for LES of Kraichnan turbulence
R. Maulik, O. San, A. Rasheed and P. Vedula
2nd MAE Graduate Research Symposium, Oklahoma State University, Stillwater, OK, November 2, 2018
Air mixer design guidelines using CFD analysis (ASHRAE, RP-1733)
M. Ahmed, O. San and C. Bach
2nd MAE Graduate Research Symposium, Oklahoma State University, Stillwater, OK, November 2, 2018
Effect of inlet duct configuration on the fan performance of air handling units (ASHRAE RP-1743)
M. Y. Hossain, C. Bach and O. San
2nd MAE Graduate Research Symposium, Oklahoma State University, Stillwater, OK, November 2, 2018
A review of designs and test strategies for air mixers (ASHRAE RP-1733)
H. Park, C. Bach and O. San
2nd MAE Graduate Research Symposium, Oklahoma State University, Stillwater, OK, November 2, 2018
Hybrid analytics paradigm in fluid dynamics
S. M. Rahman and O. San
2nd MAE Graduate Research Symposium, Oklahoma State University, Stillwater, OK, November 2, 2018
A survey of symbolic regression approaches to distill equations/models from big data
H. Vaddireddy and O. San
2nd MAE Graduate Research Symposium, Oklahoma State University, Stillwater, OK, November 2, 2018
An optimized discrete filtering framework for large eddy simulations
S. M. Rahman and O. San
38th Oklahoma AIAA/ASME Symposium, Oklahoma Christian University, Oklahoma City, OK, April 14, 2018
Sub-filter scale nonlinear interaction modeling for LES using deep learning networks
R. Maulik, E. Ozbenli, O. San and P. Vedula
38th Oklahoma AIAA/ASME Symposium, Oklahoma Christian University, Oklahoma City, OK, April 14, 2018
Reduced order framework for optimal control of nonlinear PDE
N. Nelsen and O. San
Poster presented at the Coalition for Advancing Digital Research & Education (CADRE) conference, Oklahoma State University, Stillwater, OK, April 17—18, 2018
Nonlinear physics inference using artificial neural networks
R. Maulik, E. Ozbenli, O. San and P. Vedula
Poster presented at the Coalition for Advancing Digital Research & Education (CADRE) conference, Oklahoma State University, Stillwater, OK, April 17—18, 2018
MPI implementation of Navier—Stokes equations
S. M. Rahman and O. San
Poster presented at the Coalition for Advancing Digital Research & Education (CADRE) conference, Oklahoma State University, Stillwater, OK, April 17—18, 2018
One-step laser-induced hydrogen generation from graphite and coal in water
K. Kholikov, D. Seyitliyev, B. Grant, O. San and A. Er
APS March Meeting 2018, Los Angeles, CA, March 5—9, 2018
A coarse grid projection multiscale method for turbulent geophysical flows
A. E. Staples and O. San
International Workshop on Complex Turbulent Flows, Tangier, Morocco, November 27—28, 2017
A neural network approach for the blind deconvolution of turbulent flows
R. Maulik and O. San
70th Annual Meeting of the APS Division of Fluid Dynamics, Denver, CO, November 19—21, 2017
Laser-induced hydrogen generation from graphite and coal
K. Kholikov, D. Seyitliyev, B. Grant, O. San and A. Er
84th Annual Meeting of the APS Southeastern Section, Milledgeville, GA, November 16—19, 2017
Subfilter recovery for the turbulence modeling of large eddy simulations using sparse regression for blind deconvolution
R. Maulik and O. San
Poster presented at the MAE Graduate Research Symposium, Oklahoma State University, Stillwater, OK, October 28, 2017
CFD analysis of HVAC duct design and fittings
M. Ahmed, O. San and C. Bach
MAE Graduate Research Symposium, Oklahoma State University, Stillwater, OK, October 28, 2017
Implicit LES modeling of stratified shear layer turbulence
R. Maulik and O. San
Poster presented at the Coalition for Advancing Digital Research & Education (CADRE) conference, Oklahoma State University, Stillwater, OK, April 11—12, 2017
An implicit large eddy simulation framework based on wavelet adaptive mesh refinement
R. Maulik, O. San and B. R.
37th Oklahoma AIAA/ASME Symposium, Oral Roberts University, Tulsa, OK, April 15, 2017
Artificial neural network models for model order reduction of nonlinear systems
M. Ahmed and O. San
37th Oklahoma AIAA/ASME Symposium, Oral Roberts University, Tulsa, OK, April 15, 2017
Constitutive modeling in reduced order representation of hemodynamic flows
W. Glenn and O. San
37th Oklahoma AIAA/ASME Symposium, Oral Roberts University, Tulsa, OK, April 15, 2017
An artificial neural network closure modeling framework for model order reduction of convective flows
O. San and M. Ahmed
SIAM Conference on Computational Science and Engineering (CSE17), Atlanta, GA, February 27—March 3, 2017
A dynamic framework for subgrid-scale parametrization of mesoscale eddies in geophysical flows
O. San and R. Maulik
69th Annual Meeting of the APS Division of Fluid Dynamics, Portland, OR, November 20—22, 2016
A dynamic hybrid subgrid-scale modeling framework for large eddy simulations
R. Maulik and O. San
69th Annual Meeting of the APS Division of Fluid Dynamics, Portland, OR, November 20—22, 2016
An explicit filtering framework based on Perona-Malik anisotropic diffusion for shock capturing and subgrid scale modeling of Burgers’ turbulence
R. Maulik and O. San
69th Annual Meeting of the APS Division of Fluid Dynamics, Portland, OR, November 20—22, 2016
Evaluation of explicit and implicit LES closures for Burgers turbulence
R. Maulik and O. San
36th Oklahoma AIAA/ASME Symposium, University of Oklahoma, Norman, April 16, 2016
WAMR: An accurate predictive tool
O. San, R. Behera, T. Grenga, K. Matous and S. Paolucci
Poster presented at the Center for Shock Wave-processing of Advanced Reactive Materials, University of Notre Dame, Notre Dame, IN, November 5—6, 2014
An efficient coarse grid projection method for quasi-geostrophic models of large-scale ocean circulation
A. E. Staples and O. San
66th Annual Meeting of the APS Division of Fluid Dynamics, Pittsburgh, PA, November 24—26, 2013
Large eddy simulation of the quasi-geostrophic equations of oceanic flows
T. Iliescu, O. San, Z. Wang, E. Foster and A. E. Staples
American Geophysical Union Fall Meeting, San Francisco, CA, December 3—7, 2012
A posteriori analysis of spatial filters for approximate deconvolution large eddy simulations of homogeneous incompressible flows
A. E. Staples and O. San
65th Annual Meeting of the APS Division of Fluid Dynamics, San Diego, CA, November 18—20, 2012
A coarse-grid projection method for accelerating incompressible flow computations
O. San and A. E. Staples
64th Annual Meeting of the APS Division of Fluid Dynamics, Baltimore, MD, November 20—22, 2011
Approximate deconvolution large eddy simulation of a barotropic ocean circulation model
A. E. Staples and O. San
64th Annual Meeting of the APS Division of Fluid Dynamics, Baltimore, MD, November 20—22, 2011
A coarse-grid projection multiscale method for accelerating incompressible flow computations
O. San and A. E. Staples
Fall Fluid Mechanics Symposium, Virginia Tech, Blacksburg, VA, November 3, 2011
Dynamics of pulsatile flows through elastic microtubes
O. San and A. E. Staples
63rd Annual Meeting of the APS Division of Fluid Dynamics, Long Beach, CA, November 21—23, 2010
A global reduced-order distributed model for physiological fluid dynamics
O. San and A. E. Staples
Biomedical Engineering Society Annual Meeting, Austin, TX, October 6—9, 2010
An algorithm for a reduced-order representation of physiological fluid dynamics
O. San and A. E. Staples
VT Symposium on Reduced-Order Modeling and System Identification, Blacksburg, VA, February 15, 2010
A multigrid accelerated high-order compact fractional step method for unsteady incompressible viscous flows
O. San and A. E. Staples
62nd Annual Meeting of the APS Division of Fluid Dynamics, Minneapolis, MN, November 22—24, 2009
An efficient algorithm for computing physiological fluid flows
A. E. Staples and O. San
62nd Annual Meeting of the APS Division of Fluid Dynamics, Minneapolis, MN, November 22—24, 2009
An efficient model and algorithm for physiological fluid dynamics
O. San and A. E. Staples
Joint ASCE-ASME-SES Conference on Mechanics and Materials, Blacksburg, VA, June 24—27, 2009
Multiscale modeling of physiological fluid dynamics
O. San and A. E. Staples
25th Annual Research Symposium and Exposition, Virginia Tech, Blacksburg, VA, March 25, 2009
Numerical simulation of a low voltage electrokinetic micropump for microfluidic LOC devices
O. San, S. E. Yalcin and O. Baysal
AIAA Region I-MA Student Conference, University of Maryland, College Park, MD, April 11, 2008
Numerical simulations of MEMS-based micropumps
O. San and O. Baysal
5th Annual Research Exposition, Old Dominion University, Norfolk, VA, April 9, 2008
Numerical modeling of gas flow in converging-diverging micronozzles
O. San and I. Bayraktar
37th AIAA Fluid Dynamics Conference and Exhibit, Miami, FL, June 25—28, 2007
Assessment of slip wall conditioning for gas flow simulation in micronozzles
O. San and I. Bayraktar
18th AIAA Computational Fluid Dynamics Conference, Miami, FL, June 25—28, 2007
Numerical analysis of gas flow in micronozzles
O. San
AIAA Young Professional, Student and Education Conference, Johns Hopkins University, Baltimore, MD, November 10—11, 2006
2D unsteady incompressible Navier—Stokes solution of cavity flow
O. San
AIAA Region I-MA Student Conference, Penn State, University Park, PA, April 7—8, 2006