Publications in VIVO

Co-author Network

Doostan, Alireza

Felippa-Park Gift Faculty Fellow

Positions

Faculty Fellow, College of Engineering and Applied Science
Professor, Aerospace Engineering Sciences

Research Areas

Research

research overview

Dr. Doostan's research is focused on data-driven modeling, machine learning, and uncertainty quantification of complex systems. Of particular interest to his work is the development of data-driven and reduced order models for scalable solution of partial differential equations with random inputs. He is also involved in the development of efficient computational tools for large-scale statistical inverse problems, data-driven modeling, and big data compression research.

keywords

Machine learning, Model reduction, Uncertainty Quantification, Computational Stochastic Mechanics, Computational Statistics

Publications

selected publications

chapter
- Compressive Sampling Methods for Sparse Polynomial Chaos Expansions. 1-29. 2015
conference proceeding
- Generalized Non-Linear Eddy Viscosity Models for Data-Assisted Reynolds Stress Closure 2020
- Multi-Fidelity Uncertainty Quantification Strategies for Large-Scale Multiphysics Applications: PSAAP II Particle-Based Solar Energy Receiver. AIP Conference Proceedings. 2017
- An Evaluation of Multi-Fidelity Modeling Efficiency on a Parametric Study of NACA Airfoils 2017
- Reduced-Basis Multifidelity Approach for Efficient Parametric Study of NACA Airfoils. AIAA Journal: devoted to aerospace research and development. 1481-1491. 2017
- A BI-FIDELITY APPROACH FOR UNCERTAINTY QUANTIFICATION OF HEAT TRANSFER IN A RECTANGULAR RIBBED CHANNEL 2016
- TRAJECTORY OPTIMIZATION UNDER UNCERTAINTY FOR RENDEZVOUS IN THE CRTBP. Advances in the Astronautical Sciences. 523-542. 2016
- SHAPE DEPENDENCE OF KINETIC DEFLECTION FOR A SURVEY OF REAL ASTEROIDS. Advances in the Astronautical Sciences. 3809-3828. 2015
- Variation of Delivered Impulse as a Function of Asteroid Shape 2015
- ESTIMATING OBJECT-DEPENDENT NATURAL ORBITAL DYNAMICS WITH OPTIMAL CONTROL POLICIES: A VALIDATION STUDY. Advances in the Astronautical Sciences. 3325-3342. 2015
- ORBIT UNCERTAINTY PROPAGATION WITH SEPARATED REPRESENTATIONS. Advances in the Astronautical Sciences. 2469-2487. 2013
- POST-MANEUVER COLLISION PROBABILITY ESTIMATION USING POLYNOMIAL CHAOS. Advances in the Astronautical Sciences. 261-+. 2013
- Postmaneuver Collision Probability Estimation Using Sparse Polynomial Chaos Expansions. Journal of Guidance, Control, and Dynamics: devoted to the technology of dynamics and control. 1425-1437. 2013
- A sparse multiresolution stochastic approximation for uncertainty quantification. Contemporary Mathematics. 295-+. 2012
- NUMERICAL PREDICTIONS OF THE PERFORMANCE IN FLIGHT OF AN AIR-BREATHING HYPERSONIC VEHICLE: HYSHOT II. 225-+. 2010
- A Validation Study of a Stochastic Representation of Composite Material Properties from Limited Experimental Data. 4903-4924. 2010
journal article
- A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study. Journal of Computing and Information Science in Engineering. 2023
- GenMod: A generative modeling approach for spectral representation of PDEs with random inputs. Journal of Computational Physics. 2023
- Topology optimization under microscale uncertainty using stochastic gradients. Structural and Multidisciplinary Optimization: computer-aided optimal design of stressed solids and multidisciplinary systems. 2023
- Software tools to enable immersive simulation. Engineering with Computers: an international journal for simulation-based engineering. 4697-4713. 2022
- Rapid aerodynamic shape optimization under uncertainty using a stochastic gradient approach. Structural and Multidisciplinary Optimization: computer-aided optimal design of stressed solids and multidisciplinary systems. 2022
- Task-parallel in situ temporal compression of large-scale computational fluid dynamics data. International Journal of High Performance Computing Applications. 388-418. 2022
- Neural network training using l(1)-regularization and bi-fidelity data. Journal of Computational Physics. 2022
- Prediction of Ultrasonic Guided Wave Propagation in Fluid-Structure and Their Interface under Uncertainty Using Machine Learning. Journal of Engineering Mechanics. 2022
- Bi-fidelity reduced polynomial chaos expansion for uncertainty quantification. Computational Mechanics. 405-424. 2021
- Reliability-based topology optimization using stochastic gradients. Structural and Multidisciplinary Optimization: computer-aided optimal design of stressed solids and multidisciplinary systems. 3089-3108. 2021
- S-frame discrepancy correction models for data-informed Reynolds stress closure. Journal of Computational Physics. 2021
- A stochastic subspace approach to gradient-free optimization in high dimensions. Computational Optimization and Applications. 339-368. 2021
- Sparse identification of nonlinear dynamical systems via reweighted l(1)-regularized least squares. Computer Methods in Applied Mechanics and Engineering. 2021
- Pass-efficient methods for compression of high-dimensional turbulent flow data. Journal of Computational Physics. 2020
- Topology optimization under uncertainty using a stochastic gradient-based approach. Structural and Multidisciplinary Optimization: computer-aided optimal design of stressed solids and multidisciplinary systems. 2255-2278. 2020
- Bi-fidelity stochastic gradient descent for structural optimization under uncertainty. Computational Mechanics. 745-771. 2020
- Acceleration of uncertainty propagation through Lagrange multipliers in partitioned stochastic method. Computer Methods in Applied Mechanics and Engineering. 2020
- Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence. Journal of Computational Physics. 2020
- ON TRANSFER LEARNING OF NEURAL NETWORKS USING BI-FIDELITY DATA FOR UNCERTAINTY PROPAGATION. International Journal for Uncertainty Quantification. 543-573. 2020
- Level set methods for stochastic discontinuity detection in nonlinear problems. Journal of Computational Physics. 511-531. 2019
- Basis adaptive sample efficient polynomial chaos (BASE-PC). Journal of Computational Physics. 20-49. 2018
- Practical error bounds for a non-intrusive bi-fidelity approach to parametric/stochastic model reduction. Journal of Computational Physics. 315-332. 2018
- Sparse polynomial chaos expansions via compressed sensing and D-optimal design. Computer Methods in Applied Mechanics and Engineering. 640-666. 2018
- Least squares polynomial chaos expansion: A review of sampling strategies. Computer Methods in Applied Mechanics and Engineering. 382-407. 2018
- Optimization via separated representations and the canonical tensor decomposition. Journal of Computational Physics. 220-230. 2017
- Shape Dependence of the Kinetic Deflection of Asteroids. Journal of Guidance, Control, and Dynamics: devoted to the technology of dynamics and control. 2417-2431. 2017
- Time-dependent global sensitivity analysis with active subspaces for a lithium ion battery model. Statistical Analysis and Data Mining. 243-262. 2017
- Orbit uncertainty propagation and sensitivity analysis with separated representations. Celestial Mechanics and Dynamical Astronomy. 105-136. 2017
- A low-rank control variate for multilevel Monte Carlo simulation of high-dimensional uncertain systems. Journal of Computational Physics. 121-139. 2017
- Contributions of Microtubule Dynamic Instability and Rotational Diffusion to Kinetochore Capture. Biophysical Journal. 552-563. 2017
- A generalized multi-resolution expansion for uncertainty propagation with application to cardiovascular modeling. Computer Methods in Applied Mechanics and Engineering. 196-221. 2017
- On polynomial chaos expansion via gradient-enhanced l(1)-minimization. Journal of Computational Physics. 440-458. 2016
- A well-posed and stable stochastic Galerkin formulation of the incompressible Navier-Stokes equations with random data. Journal of Computational Physics. 92-116. 2016
- Reduced cost mission design using surrogate models. Advances in Space Research. 588-603. 2016
- RANDOMIZED ALTERNATING LEAST SQUARES FOR CANONICAL TENSOR DECOMPOSITIONS: APPLICATION TO A PDE WITH RANDOM DATA. SIAM Journal on Scientific Computing. A2634-A2664. 2016
- On uncertainty quantification of lithium-ion batteries: Application to an LiC6/LiCoO2 cell. Journal of Power Sources. 507-524. 2015
- Heaviside enriched extended stochastic FEM for problems with uncertain material interfaces. Computational Mechanics. 753-767. 2015
- Coherence motivated sampling and convergence analysis of least squares polynomial Chaos regression. Computer Methods in Applied Mechanics and Engineering. 73-97. 2015
- Determination of the polymer-solvent interaction parameter for PEG hydrogels in water: Application of a self learning algorithm. Polymer. 135-147. 2015
- Compressive sampling of polynomial chaos expansions: Convergence analysis and sampling strategies. Journal of Computational Physics. 363-386. 2015
- A simple and efficient preconditioning scheme for heaviside enriched XFEM. Computational Mechanics. 1357-1374. 2014
- A weighted l(1)-minimization approach for sparse polynomial chaos expansions. Journal of Computational Physics. 92-111. 2014
- Partitioned treatment of uncertainty in coupled domain problems: A separated representation approach. Computer Methods in Applied Mechanics and Engineering. 103-124. 2014
- Smoothed aggregation algebraic multigrid for stochastic PDE problems with layered materials. Numerical Linear Algebra with Applications. 239-255. 2014
- SPARSE MULTIRESOLUTION REGRESSION FOR UNCERTAINTY PROPAGATION. International Journal for Uncertainty Quantification. 303-331. 2014
- Variational Multiscale Analysis: The Fine-Scale Green's Function for Stochastic Partial Differential Equations. SIAM/ASA Journal on Uncertainty Quantification. 397-422. 2014
- Satellite collision probability estimation using polynomial chaos expansions. Advances in Space Research. 1860-1875. 2013
- Non-intrusive low-rank separated approximation of high-dimensional stochastic models. Computer Methods in Applied Mechanics and Engineering. 42-55. 2013
- Extended stochastic FEM for diffusion problems with uncertain material interfaces. Computational Mechanics. 1031-1049. 2013
- On stability and monotonicity requirements of finite difference approximations of stochastic conservation laws with random viscosity. Computer Methods in Applied Mechanics and Engineering. 134-151. 2013
- Nonlinear Propagation of Orbit Uncertainty Using Non-Intrusive Polynomial Chaos. Journal of Guidance, Control, and Dynamics: devoted to the technology of dynamics and control. 430-444. 2013
- Stochastic identification of composite material properties from limited experimental databases, Part II: Uncertainty modelling. Mechanical Systems and Signal Processing. 484-498. 2012
- A non-adapted sparse approximation of PDEs with stochastic inputs. Journal of Computational Physics. 3015-3034. 2011
- A simplified model for seismic response prediction of concentrically braced frames. Advances in Engineering Software. 497-505. 2010
- A hybrid collocation/Galerkin scheme for convective heat transfer problems with stochastic boundary conditions. International Journal for Numerical Methods in Engineering. 868-880. 2009
- Padé–Legendre approximants for uncertainty analysis with discontinuous response surfaces. Journal of Computational Physics. 7159-7180. 2009
- A least-squares approximation of partial differential equations with high-dimensional random inputs. Journal of Computational Physics. 4332-4345. 2009
- A probabilistic construction of model validation. Computer Methods in Applied Mechanics and Engineering. 2585-2595. 2008
- Stochastic model reduction for chaos representations. Computer Methods in Applied Mechanics and Engineering. 3951-3966. 2007
- Efficient solution of stochastic systems: Application to the embankment dam problem. Structural Safety. 238-251. 2007
- On the construction and analysis of stochastic models: Characterization and propagation of the errors associated with limited data. Journal of Computational Physics. 63-81. 2006
- Optimum seismic design of concentrically braced steel frames: concepts and design procedures. Journal of Constructional Steel Research. 151-166. 2005

Teaching

courses taught

ASEN 2001 - Aerospace 1: Introduction to Statics, Structures, and Materials
Primary Instructor - Fall 2018 / Fall 2019
Introduces models and analytical/numerical methods for statics and structural analysis. Topics include force/moment equilibrium, truss analysis, beam theory, stress/strain, failure criteria, and structural design. Matlab proficiency required.
ASEN 3112 - Structures
Primary Instructor - Fall 2020 / Spring 2022
Teaches Mechanics of Materials methods of stress and deformation analysis applicable to the design and verification of aircraft and space structures. It offers an introduction to matrix and finite element methods for truss structures, and to mechanical vibrations.
ASEN 5012 - Mechanics of Aerospace Structures
Primary Instructor - Fall 2021
Applies fundamental concepts of continuum mechanics, theory of elasticity and energy methods to the analysis of structures. Recommended prerequisites: APPM 2360 and ASEN 2001 and ASEN 2003 and ASEN 3112 or equivalent or instructor consent required. Degree credit not granted for this course and MCEN 5023.
ASEN 5022 - Dynamics of Aerospace Structures
Primary Instructor - Spring 2019 / Spring 2021 / Spring 2023
Applies concepts covered in undergraduate dynamics, structures and mathematics to the dynamics of aerospace structural components, including methods of dynamic analysis, vibrational characteristics, vibration measurements and dynamic stability. Recommended prerequisite: ASEN 5012 or ASEN 5227 or MATH 2130 or APPM 3310 or equivalent or instructor consent required.
ASEN 6412 - Uncertainty Quantification
Primary Instructor - Spring 2020
This advanced topics course provides an exploration of techniques for representation and propagation of uncertainty in PDE/ODE-based systems. Recommended prerequisites: APPM 5570 and ECEN 5612 (all minimum grade B) or equivalent courses with instructor consent.

Background

education and training

M.A., Johns Hopkins University 2007
Ph.D., Johns Hopkins University 2007
M.S., Sharif University of Technology (Iran) 2002
B.S., Sharif University of Technology (Iran) 2000

awards and honors

Provost's Faculty Achievement Award for Pre-Tenure Faculty, conferred by Academic Affairs, 2015
Faculty Early Career Development Program (CAREER), conferred by National Science Foundation, 2015
Early Career Research Award, conferred by Department of Energy, 2011

International Activities

geographic focus

Europe Continent
Germany Country
Italy Country
Norway Country
South Korea Country
Spain Country
Sweden Country

Other Profiles

ORCID iD

http://orcid.org/0000-0002-3020-3891

Google Scholar

https://scholar.google.com/citations?user=OtbK-pUAAAAJ&hl=en

ResearchGate

https://www.researchgate.net/profile/Alireza_Doostan