Alen Alexanderian

North Carolina State University — United States

Decision Sciences · Social Sciences

13h-index600citations108works1.42yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Probabilistic and Robust Engineering Design(51), Advanced Multi-Objective Optimization Algorithms(28), Model Reduction and Neural Networks(16), Gaussian Processes and Bayesian Inference(16), Statistical Methods and Inference(9)

Publications108 total

A brief note on approximate optimization of submodular functions
arXiv (Cornell University)·2025Open Access
Goal Oriented Optimal Design of Infinite-Dimensional Bayesian Inverse Problems using Quadratic Approximations
Journal of Scientific Computing·2025Open Access
Preconditioned pseudo-time continuation for parameterized inverse problems
arXiv (Cornell University)·2025Open Access
On submodularity of the expected information gain
arXiv (Cornell University)·2025Open Access
Bridging the Gap Between Deterministic and Probabilistic Approaches to State Estimation
arXiv (Cornell University)·2025Open Access
A control-oriented approach to optimal sensor placement
arXiv (Cornell University)·2025Open Access
Optimal sensor placement under model uncertainty in the weak-constraint 4D-Var framework
arXiv (Cornell University)·2025· 1 citedOpen Access
Optimal sensor placement under model uncertainty in the weak-constraint 4D-Var framework
Foundations of Data Science·2025Open Access
Goal oriented optimal design of infinite-dimensional Bayesian inverse problems using quadratic approximations
arXiv (Cornell University)·2024Open Access
Robust optimal design of large-scale Bayesian nonlinear inverse problems
arXiv (Cornell University)·2024· 1 citedOpen Access
VARIANCE-BASED SENSITIVITY OF BAYESIAN INVERSE PROBLEMS TO THE PRIOR DISTRIBUTION
International Journal for Uncertainty Quantification·2024· 3 cited
Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty
Inverse Problems·2024· 10 cited
SENSITIVITY ANALYSIS OF THE INFORMATION GAIN IN INFINITE-DIMENSIONAL BAYESIAN LINEAR INVERSE PROBLEMS
International Journal for Uncertainty Quantification·2024· 2 cited
EXTREME LEARNING MACHINES FOR VARIANCE-BASED GLOBAL SENSITIVITY ANALYSIS
International Journal for Uncertainty Quantification·2024· 3 cited
Variance-based sensitivity of Bayesian inverse problems to the prior distribution
arXiv (Cornell University)·2023Open Access
Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems
arXiv (Cornell University)·2023Open Access
HYPER-DIFFERENTIAL SENSITIVITY ANALYSIS FOR NONLINEAR BAYESIAN INVERSE PROBLEMS
International Journal for Uncertainty Quantification·2023· 8 cited
Data acquisition for the design and control of physical systems
2023Open Access
Optimal sensor placement for maximizing information regarding optimization objectives
2023Open Access
A Bayesian Framework for Coupling Optimal Experimental Design and Optimal Control
2023Open Access
page 1 of 6Next →

Frequent Co-authors

Meilin Yu(7), Georg Stadler(5), Hayley Guy(5), Ralph C. Smith(5), Noémi Petra(5), Pierre A. Gremaud(5), Arvind K. Saibaba(4), Omar Ghattas(4), Mohamed Iskandarani(3), Omar Knio(3), B. Fleck(3), G. Dimitoglou(3), Benjamin Wamsler(3), J. Ireland(3), Olivier Le Maı̂tre(3), Muruhan Rathinam(3), Justin Winokur(2), Ihab Sraj(2), Ashwanth Srinivasan(2), W. C. Thacker(2)