Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation. - Arindam Fadikar; Dave Higdon; Jiangzhuo Chen; Bryan L. Lewis; Srinivasan Venkatramanan; Madhav V. Marathe (SIAM/ASA J. Uncertain. Quantification, 2018)

Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints. - Srinivasan Venkatramanan; Jiangzhuo Chen; Arindam Fadikar; Sandeep Gupta 004; Dave Higdon; Bryan L. Lewis; Madhav V. Marathe; Henning S. Mortveit; Anil Vullikanti (PLoS Comput. Biol., 2019)

Scalable Statistical Inference of Photometric Redshift via Data Subsampling. - Arindam Fadikar; Stefan M. Wild; Jonas Chaves-Montero (ICCS (5), 2021)

Scalable Epidemiological Workflows to Support COVID-19 Planning and Response. - Dustin Machi; Parantapa Bhattacharya; Stefan Hoops; Jiangzhuo Chen; Henning S. Mortveit; Srinivasan Venkatramanan; Bryan L. Lewis; Mandy L. Wilson; Arindam Fadikar; Tom Maiden; Christopher L. Barrett; Madhav V. Marathe (IPDPS, 2021)

Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis. - Nicholson T. Collier; Justin M. Wozniak; Abby Stevens; Yadu N. Babuji; Mickaël Binois; Arindam Fadikar; Alexandra Würth; Kyle Chard; Jonathan Ozik (IPDPS Workshops, 2023)

Trajectory-Oriented Optimization of Stochastic Epidemiological Models. - Arindam Fadikar; Nicholson T. Collier; Abby Stevens; Jonathan Ozik; Mickaël Binois; Kok Ben Toh (WSC, 2023)

Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo. - Arindam Fadikar; Abby Stevens; Nicholson T. Collier; Kok Ben Toh; Olga Morozova; Anna Hotton; Jared Clark; David Higdon; Jonathan Ozik (IPDPS (Workshops), 2024)

Distributed Model Exploration with EMEWS. - Nicholson T. Collier; Justin M. Wozniak; Arindam Fadikar; Abby Stevens; Jonathan Ozik (WSC, 2024)

Scaled Block Vecchia Approximation for High-Dimensional Gaussian Process Emulation on GPUs. - Qilong Pan 001; Sameh Abdulah; Mustafa Abduljabbar; Hatem Ltaief; Andreas Herten; Mathis Bode; Matthew T. Pratola; Arindam Fadikar; Marc G. Genton; David E. Keyes; Ying Sun 002 (CoRR, 2025)