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Arindam Fadikar
Researcher at Argonne National Laboratory
Publications - 13
Citations - 177
Arindam Fadikar is an academic researcher from Argonne National Laboratory. The author has contributed to research in topics: Computer science & Gaussian process. The author has an hindex of 6, co-authored 12 publications receiving 89 citations. Previous affiliations of Arindam Fadikar include Virginia Tech.
Papers
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Journal ArticleDOI
Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints.
Srinivasan Venkatramanan,Jiangzhuo Chen,Arindam Fadikar,Sandeep Gupta,Dave Higdon,Bryan Lewis,Madhav V. Marathe,Henning S. Mortveit,Anil Vullikanti +8 more
TL;DR: A national scale metapopulation model for influenza that integrates both short and long distance human mobility, along with realistic data on vaccine uptake is developed and the resulting strategy resembles a ring vaccination applied spatiallyacross the US.
Journal ArticleDOI
Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation
Arindam Fadikar,Dave Higdon,Jiangzhuo Chen,Bryan L. Lewis,Srinivasan Venkatramanan,Madhav V. Marathe +5 more
TL;DR: An approach is developed that uses this emulation approach within a Bayesian model calibration framework to calibrate an agent-based model of an epidemic to handle the multivariate nature of the model output.
Posted Content
Analyzing Stochastic Computer Models: A Review with Opportunities
Evan Baker,Pierre Barbillon,Arindam Fadikar,Robert B. Gramacy,Radu Herbei,David Higdon,Jiangeng Huang,Leah R. Johnson,Pulong Ma,Anirban Mondal,Bianica Pires,Jerome Sacks,Vadim Sokolov +12 more
TL;DR: This review aims to bring a spotlight to the growing prevalence of stochastic computer models -- providing a catalogue of statistical methods for practitioners, an introductory view for statisticians, and an emphasis on open questions of relevance to practitioners and statisticians.
Journal ArticleDOI
Forecasting influenza activity using machine-learned mobility map.
Srinivasan Venkatramanan,Adam Sadilek,Arindam Fadikar,Christopher L. Barrett,Matthew Biggerstaff,Jiangzhuo Chen,Xerxes Dotiwalla,Paul Eastham,Bryant Gipson,Dave Higdon,Onur Küçüktunç,Allison Lieber,Bryan Lewis,Zane Reynolds,Anil Vullikanti,Lijing Wang,Madhav V. Marathe +16 more
TL;DR: In this paper, a machine-learned anonymized mobility map (hereon referred to as AMM) aggregated over hundreds of millions of smartphones and evaluated its utility in forecasting epidemics.
Posted ContentDOI
Scalable Epidemiological Workflows to Support COVID-19 Planning and Response
Dustin Machi,Parantapa Bhattacharya,Stefan Hoops,Jiangzhuo Chen,Henning S. Mortveit,Srinivasan Venkatramanan,Bryan Lewis,Mandy L. Wilson,Arindam Fadikar,Tom Maiden,Christopher L. Barrett,Madhav V. Marathe +11 more
TL;DR: In this article, the authors present scalable high performance computing-enabled workflows for COVID-19 pandemic planning and response using a hybrid cloud/cluster system utilizing a combination of local and remote cluster computing facilities.