Distributed and cloud-based multi-model analytics experiments on large volumes of climate change data in the earth system grid federation eco-system. - Sandro Fiore; Marcin Plóciennik; Charles M. Doutriaux; Cosimo Palazzo; J. Boutte; Tomasz Zok; Donatello Elia; Michal Owsiak; Alessandro D'Anca; Z. Shaheen; Riccardo Bruno; Marco Fargetta; et al. (IEEE BigData, 2016)

Evaluating Scientific Workflow Engines for Data and Compute Intensive Discoveries. - Rina Singh; Jeffrey A. Graves; Valentine Anantharaj; Sreenivas R. Sukumar 001 (IEEE BigData, 2019)

Processing full-scale square kilometre array data on the summit supercomputer. - Ruonan Wang; Rodrigo Tobar; Markus Dolensky; Tao An; Andreas Wicenec; Chen Wu; Fred Dulwich; Norbert Podhorszki; Valentine Anantharaj; Eric Suchyta; Bao-qiang Lao; Scott Klasky (SC, 2020)

Workflow Submit Nodes as a Service on Leadership Class Systems. - George Papadimitriou 002; Karan Vahi; Jason Kincl; Valentine Anantharaj; Ewa Deelman; Jack C. Wells (PEARC, 2020)

Production Deployment of Machine-Learned Rotorcraft Surrogate Models on HPC. - Wesley Brewer; Daniel Martínez; Mathew Boyer; Dylan Jude; Andy Wissink; Ben Parsons; Junqi Yin; Valentine Anantharaj (MLHPC@SC, 2021)

An open science exploration of global 1-km simulations of the earth's atmosphere. - Valentine Anantharaj; Samuel Hatfield; Inna Polichtchouk; Nils Wedi; Morgan E. O'Neill; Thomas Papatheodore; Peter Dueben (e-Science, 2022)

Exploring Vision Transformers on the Frontier Supercomputer for Remote Sensing and Geoscientific Applications. - Valentine Anantharaj; Takuya Kurihana; Sajal Dash; Gabriele Padovani; Sandro Fiore (IGARSS, 2024)

Scalable Multi-Facility Workflows for Artificial Intelligence Applications in Climate Research. - Takuya Kurihana; Tyler J. Skluzacek; Rafael Ferreira da Silva; Valentine Anantharaj (SC Workshops, 2024)

A software ecosystem for multi-level provenance management in large-scale scientific workflows for AI applications. - Gabriele Padovani; Valentine Anantharaj; Ludovica Sacco; Takuya Kurihana; M. Bunino; K. Tsolaki; M. Girone; F. Antonio; Carolina Sopranzetti; M. Fronza; Sandro Fiore (SC Workshops, 2024)

Prithvi WxC: Foundation Model for Weather and Climate. - Johannes Schmude; Sujit Roy; Will Trojak; Johannes Jakubik; Daniel Salles Civitarese; Shraddha Singh; Julian Kuehnert; Kumar Ankur; Aman Gupta; Christopher Phillips; Romeo Kienzler; Daniela Szwarcman; et al. (CoRR, 2024)

Trustworthy Provenance for Big Data Science: a Modular Architecture Leveraging Blockchain in Federated Settings. - Nicola Giuseppe Marchioro; Yannis Velegrakis; Valentine Anantharaj; Ian T. Foster; Sandro Fiore (CoRR, 2025)

Provenance Tracking in Large-Scale Machine Learning Systems. - Gabriele Padovani; Valentine Anantharaj; Sandro Fiore (CoRR, 2025)

yProv4ML: Effortless Provenance Tracking for Machine Learning Systems. - Gabriele Padovani; Valentine Anantharaj; Sandro Fiore (CoRR, 2025)

Data Readiness for Scientific AI at Scale. - Wesley Brewer; Patrick Widener; Valentine Anantharaj; Feiyi Wang; Tom Beck; Arjun Shankar; Sarp Oral (CoRR, 2025)