Faculty profile
Abhijit Sarkar
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Research
Latest papers
Semi-analytical hierarchical Bayesian inference of nonlinear model structure in stochastic dynamics: Applied to compartmental models of infectious diseases.
PloS one · 2026 · senior author
A Bayesian model calibration framework for stochastic compartmental models with both time-varying and time-invariant parameters.
Infectious Disease Modelling · 2024 · senior author
Scalable computational algorithms for geospatial COVID-19 spread using high performance computing.
Mathematical biosciences and engineering : MBE · 2023 · senior author
Latest funding
- $38,000
Addressing overfitting, uncertainty quantification and computational challenges in machine learning with applications to engineering mechanics
NSERC · 2024 · Principal investigator
- $250,000
A long-term predictive modeling and uncertainty quantification framework for covid-19 using novel machine learning algorithms
SSHRC · 2022 · Principal investigator
- $250,000
A long-term predictive modeling and uncertainty quantification framework for covid-19 using novel machine learning algorithms
SSHRC · 2022 · Principal investigator
4 publications.
Semi-analytical hierarchical Bayesian inference of nonlinear model structure in stochastic dynamics: Applied to compartmental models of infectious diseases.
Robinson B, Bisaillon P, Sandhu R, Khalil M, Edwards JD, Kendzerska T, Walker T, Mills S, Pettit C, Poirel D, Sarkar A
A Bayesian model calibration framework for stochastic compartmental models with both time-varying and time-invariant parameters.
Robinson B, Bisaillon P, Edwards JD, Kendzerska T, Khalil M, Poirel D, Sarkar A
Scalable computational algorithms for geospatial COVID-19 spread using high performance computing.
Sharma S, Dolean V, Jolivet P, Robinson B, Edwards JD, Kendzerska T, Sarkar A
Comprehensive compartmental model and calibration algorithm for the study of clinical implications of the population-level spread of COVID-19: a study protocol.
Robinson B, Edwards JD, Kendzerska T, Pettit CL, Poirel D, Daly JM, Ammi M, Khalil M, Taillon PJ, Sandhu R, Mills S, Mulpuru S, Walker T, Percival V, Dolean V, Sarkar A
Addressing overfitting, uncertainty quantification and computational challenges in machine learning with applications to engineering mechanics
Principal investigators: Sarkar, Abhijit
Keywords: bayesian inference; unicertainty quantification; computational mechanics; fluid-structure interaction; machine learning; artificial intelligence; domain decomposition; scalable algorithm; sparse learning; overfitting
A long-term predictive modeling and uncertainty quantification framework for covid-19 using novel machine learning algorithms
Principal investigators: Sarkar, Abhijit
Keywords: covid-19 machine learning high performance computing Bayesian inference pandemic modeling
A long-term predictive modeling and uncertainty quantification framework for covid-19 using novel machine learning algorithms
Principal investigators: Sarkar, Abhijit
Keywords: covid-19; machine learning; high performance computing; Bayesian inference; pandemic modeling
Scalable Algorithms for Uncertainty Quantification and Bayesian Inference with Applications to Computational Mechanics
Principal investigators: Sarkar, Abhijit
A scalable uncertainty quantification and data assimilation framework for tracking stochastic fluid interfaces: application to civil and environmental engineering
Principal investigators: Sarkar, Abhijit
Uncertainty Quantification with High Performance Computing Applications
Principal investigators: Sarkar, Abhijit
Keywords: CRC
Structural health monitoring of the Confederation Bridge: From innovation to engineering practices
Principal investigators: Lau, David
Inverse problems in uncertain systems
Principal investigators: Sarkar, Abhijit
Canada Research Chair in the Analysis and Management of Risk
Principal investigators: Sarkar, Abhijit
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Sunita Mulpuru and Tetyana Kendzerska: 12 shared papers
- Tetyana Kendzerska and Abhijit Sarkar: 4 shared papers
- Tetyana Kendzerska and Dominique Poirel: 3 shared papers
- Dominique Poirel and Abhijit Sarkar: 3 shared papers
- Sunita Mulpuru and Mehdi Ammi: 1 shared paper
- Sunita Mulpuru and Dominique Poirel: 1 shared paper
- Sunita Mulpuru and Abhijit Sarkar: 1 shared paper
- Mehdi Ammi and Tetyana Kendzerska: 1 shared paper
- Mehdi Ammi and Dominique Poirel: 1 shared paper
- Mehdi Ammi and Abhijit Sarkar: 1 shared paper
- Department of Medicine
- Civil and Environmental Engineering
- Department of Mechanical and Aerospace Engineering
- Public Policy
Co-authors at Carleton University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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