CAD-Based Shape Optimization Using a Meshfree Method. - Iulian R. Grindeanu; Nam Ho Kim; Kung K. Choi; Jiun-Shyan Chen (Concurr. Eng. Res. Appl., 2002)

ParNCL and ParGAL: Data-parallel Tools for Postprocessing of Large-scale Earth Science Data. - Robert L. Jacob; Jayesh Krishna; Xiabing Xu; Tim Tautges; Iulian R. Grindeanu; Robert Latham; Kara Peterson; Pavel B. Bochev; Mary Haley; David Brown 006; Richard Brownrigg; Dennis G. Shea; et al. (ICCS, 2013)

Array-based, parallel hierarchical mesh refinement algorithms for unstructured meshes. - Navamita Ray; Iulian R. Grindeanu; Xinglin Zhao; Vijay Mahadevan; Xiangmin Jiao (Comput. Aided Des., 2017)

Foundations of Multivariate Functional Approximation for Scientific Data. - Tom Peterka; Youssef S. G. Nashed; Iulian R. Grindeanu; Vijay S. Mahadevan; Raine Yeh; Xavier Tricoche (LDAV, 2018)

Scalable, High-Order Continuity Across Block Boundaries of Functional Approximations Computed in Parallel. - Iulian R. Grindeanu; Tom Peterka; Vijay S. Mahadevan; Youssef S. G. Nashed (CLUSTER, 2019)

Rational Approximation of Scientific Data. - Youssef S. G. Nashed; Tom Peterka; Vijay Mahadevan; Iulian R. Grindeanu (ICCS (1), 2019)

FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking. - Hanqi Guo 001; David Lenz 002; Jiayi Xu 001; Xin Liang 001; Wenbin He; Iulian R. Grindeanu; Han-Wei Shen; Tom Peterka; Todd S. Munson; Ian T. Foster (CoRR, 2020)

FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking. - Hanqi Guo 001; David Lenz 002; Jiayi Xu 001; Xin Liang 001; Wenbin He; Iulian R. Grindeanu; Han-Wei Shen; Tom Peterka; Todd S. Munson; Ian T. Foster (IEEE Trans. Vis. Comput. Graph., 2021)

Adaptive Regularization of B-Spline Models for Scientific Data. - David Lenz 002; Raine Yeh; Vijay Mahadevan; Iulian R. Grindeanu; Tom Peterka (ICCS (1), 2022)

Parallel Domain Decomposition techniques applied to Multivariate Functional Approximation of discrete data. - Vijay S. Mahadevan; David Lenz 002; Iulian R. Grindeanu; Thomas Peterka (CoRR, 2022)

Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data. - Tom Peterka; David Lenz 002; Iulian R. Grindeanu; Vijay S. Mahadevan (LDAV, 2023)

Customizable adaptive regularization techniques for B-spline modeling. - David Lenz 002; Raine Yeh; Vijay Mahadevan; Iulian R. Grindeanu; Tom Peterka (J. Comput. Sci., 2023)

Accelerating multivariate functional approximation computation with domain decomposition techniques. - Vijay Mahadevan; David Lenz 002; Iulian R. Grindeanu; Thomas Peterka (J. Comput. Sci., 2024)

REMORA: Regional Modeling of Oceans Refined Adaptively (built on AMReX). - Hannah Klion; Robert Hetland; Jean M. Sexton; Ann S. Almgren; Iulian R. Grindeanu; Kyle Hinson; Vijay Mahadevan (J. Open Source Softw., 2025)