Arindam Fadikar

According to our database, Arindam Fadikar authored at least 11 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Scaled Block Vecchia Approximation for High-Dimensional Gaussian Process Emulation on GPUs.

Qilong Pan, Sameh Abdulah, Mustafa Abduljabbar, Hatem Ltaief, Andreas Herten, Mathis Bode, Matthew T. Pratola, Arindam Fadikar, Marc G. Genton, David E. Keyes, Ying Sun

CoRR, April, 2025

Automation and Collaboration in Complex Epidemiological Workflows with OSPREY.

Jonathan Ozik, Nicholson T. Collier, Arindam Fadikar, Justin M. Wozniak, Valérie Hayot-Sasson, Kyle Conroy, Kyle Chard, Jacqueline Wentz, Erin Acquesta, Jaideep Ray

Proceedings of the Workshop Proceedings of the 54th International Conference on Parallel Processing, 2025

2024

Distributed Model Exploration with EMEWS.

Nicholson T. Collier, Justin M. Wozniak, Arindam Fadikar, Abby Stevens, Jonathan Ozik

Proceedings of the Winter Simulation Conference, 2024

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

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

Trajectory-Oriented Optimization of Stochastic Epidemiological Models.

Arindam Fadikar, Nicholson T. Collier, Abby Stevens, Jonathan Ozik, Mickaël Binois, Kok Ben Toh

Proceedings of the Winter Simulation Conference, 2023

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

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

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

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Scalable Statistical Inference of Photometric Redshift via Data Subsampling.

Arindam Fadikar, Stefan M. Wild, Jonas Chaves-Montero

Proceedings of the Computational Science - ICCS 2021, 2021

2019

Stochastic Computer Model Calibration and Uncertainty Quantification.

Arindam Fadikar

PhD thesis, 2019

Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints.

Srinivasan Venkatramanan, Jiangzhuo Chen, Arindam Fadikar, Sandeep Gupta, Dave Higdon, Bryan L. Lewis, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti

PLoS Comput. Biol., 2019

2018

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