NASA Uncertainty Quantification Challenge: An Optimization-Based Methodology and Validation. - Anirban Chaudhuri; Garrett Waycaster; Nathaniel Price; Taiki Matsumura; Raphael T. Haftka (J. Aerosp. Inf. Syst., 2015)

Cell-based Coherent Design Methodology for Linear and Non-linear Analog Circuits. - Debanjana Datta; Mousumi Bhanja; Anirban Chaudhuri; Baidyanath Ray; Ayan Banerjee 003 (SoCC, 2019)

mfEGRA: Multifidelity Efficient Global Reliability Analysis. - Anirban Chaudhuri; Alexandre Noll Marques; Karen E. Willcox (CoRR, 2019)

Information Reuse for Importance Sampling in Reliability-Based Design Optimization. - Anirban Chaudhuri; Boris Kramer; Karen E. Willcox (Reliab. Eng. Syst. Saf., 2020)

Certifiable Risk-Based Engineering Design Optimization. - Anirban Chaudhuri; Boris Kramer; Matthew Norton 001; Johannes O. Royset; Karen Willcox (CoRR, 2021)

Adaptive Projected Residual Networks for Learning Parametric Maps from Sparse Data. - Thomas O'Leary-Roseberry; Xiaosong Du; Anirban Chaudhuri; Joaquim R. R. A. Martins; Karen Willcox; Omar Ghattas (CoRR, 2021)

Generalized Multifidelity Active Learning for Gaussian-process-based Reliability Analysis. - Anirban Chaudhuri; Karen Willcox (DDDAS, 2022)

Dual-Band Metasurface Cross-Polarization Converter For Cancer Detection In Terahertz Band. - Anirban Chaudhuri; Parama Pal; Beena Rai (IEEE SENSORS, 2022)

Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas. - Anirban Chaudhuri; Graham Pash; David A. Hormuth; Guillermo Lorenzo; Michael G. Kapteyn; Chengyue Wu; Ernesto A. B. F. Lima; Thomas E. Yankeelov; Karen Willcox (Frontiers Artif. Intell., 2023)

Multifidelity linear regression for scientific machine learning from scarce data. - Elizabeth Qian; Anirban Chaudhuri; Dayoung Kang; Vignesh Sella (CoRR, 2024)

Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems. - Shane A. McQuarrie; Anirban Chaudhuri; Karen E. Willcox; Mengwu Guo (CoRR, 2024)

Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine. - Kaan Sel; Andrea Hawkins-Daarud; Anirban Chaudhuri; Deen Osman; Ahmad Bahai; David Paydarfar; Karen Willcox; Caroline Chung; Roozbeh Jafari (npj Digit. Medicine, 2025)

Validating the predictions of mathematical models describing tumor growth and treatment response. - Guillermo Lorenzo; David A. Hormuth II; Chengyue Wu; Graham Pash; Anirban Chaudhuri; Ernesto A. B. F. Lima; Lois C. Okereke; Reshmi Patel; Karen Willcox; Thomas E. Yankeelov (CoRR, 2025)

TumorTwin: A python framework for patient-specific digital twins in oncology. - Michael G. Kapteyn; Anirban Chaudhuri; Ernesto A. B. F. Lima; Graham Pash; Rafael Bravo; Karen Willcox; Thomas E. Yankeelov; David A. Hormuth II (CoRR, 2025)