AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. - Parantapa Bhattacharya; Dustin Machi; Jiangzhuo Chen; Stefan Hoops; Bryan L. Lewis; Henning S. Mortveit; Srinivasan Venkatramanan; Mandy L. Wilson; Achla Marathe; Przemyslaw J. Porebski; Brian Klahn; Joseph Outten; et al. (IEEE BigData, 2021)

Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support. - Parantapa Bhattacharya; Jiangzhuo Chen; Stefan Hoops; Dustin Machi; Bryan L. Lewis; Srinivasan Venkatramanan; Mandy L. Wilson; Brian Klahn; Aniruddha Adiga; Benjamin Hurt; Joseph Outten; Abhijin Adiga; et al. (Int. J. High Perform. Comput. Appl., 2023)

Agent-Based Simulation Framework for Multi-Variant Surveillance. - Sifat Afroj Moon; Jiangzhuo Chen; Baltazar Espinoza; Bryan Lewis 001; Madhav V. Marathe; Joseph Outten; Srinivasan Venkatramanan; Anil Vullikanti; Andrew S. Warren (WSC, 2024)

Novel multi-cluster workflow system to support real-time HPC-enabled epidemic science: Investigating the impact of vaccine acceptance on COVID-19 spread. - Parantapa Bhattacharya; Dustin Machi; Jiangzhuo Chen; Stefan Hoops; Bryan Lewis 001; Henning S. Mortveit; Srinivasan Venkatramanan; Mandy L. Wilson; Achla Marathe; Przemyslaw J. Porebski; Brian Klahn; Joseph Outten; et al. (J. Parallel Distributed Comput., 2024)