Prosenjit Bagchi

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1 Similar Profiles

1 Active
9 Finished

Machine Learning Techniques for Predicting Blood Flow and Cancer Cell Trafficking in Microcirculation
Bagchi, P.
National Science Foundation
5/1/23 → 4/30/26
Rutgers, The State University
Project: Research project
Development and application of a high-fidelity computational model of diabetic retinopathy hemodynamics: Coupling single-cell biophysics with retinal vascular network topology and complexity
Bagchi, P. (PI)
National Eye Institute
9/1/21 → 7/31/24
Rutgers, The State University
Project: Research project
Multiphase Flow Dynamics of Blood Cells in Compliant Vessels: Towards A Computational Study of Autoregulation of Blood Flow in Microcirculation
Bagchi, P.
National Science Foundation
9/1/19 → 8/31/23
Rutgers, The State University
Project: Research project
A Computational Study of Cell Locomotion in Complex Environments: Towards a Fluid Mechanical Understanding of Cancer Progression
Bagchi, P., Parekkadan, B. & Lee, H.
National Science Foundation
7/1/18 → 6/30/23
Rutgers, The State University
Project: Research project
Network Hemodynamics: A Computational Study of Cellular Blood Flow and Particulate Transport in Microvascular Capillary Networks
Bagchi, P. & Zahn, J.
National Science Foundation
7/1/16 → 6/30/21
Rutgers, The State University
Project: Research project

52 Article
11 Conference contribution
2 Chapter
1 Paper

Predicting capillary vessel network hemodynamics in silico by machine learning
Ebrahimi, S. & Bagchi, P., Feb 1 2024, In: PNAS Nexus. 3, 2, pgae043.
Rutgers, The State University
Research output: Contribution to journal › Article › peer-review

Open Access
A computational study of red blood cell deformability effect on hemodynamic alteration in capillary vessel networks
Ebrahimi, S. & Bagchi, P., Dec 2022, In: Scientific reports. 12, 1, 4304.
Rutgers, The State University
Research output: Contribution to journal › Article › peer-review

Open Access
Application of machine learning in predicting blood flow and red cell distribution in capillary vessel networks
Ebrahimi, S. & Bagchi, P., Aug 10 2022, In: Journal of the Royal Society Interface. 19, 193, 20220306.
Rutgers, The State University
Research output: Contribution to journal › Article › peer-review

Open Access
Hematocrit skewness along sequential bifurcations within a microfluidic network induces significant changes in downstream red blood cell partitioning
Pskowski, A., Bagchi, P. & Zahn, J. D., Dec 2022, In: Biomicrofluidics. 16, 6, 064104.
Rutgers, The State University
Research output: Contribution to journal › Article › peer-review

Open Access
Mechanical-Based Design for Airfoil Structural Morphing
Butera, M., Butler, A., Hayes, A., Schaffer, E., Sinha, N., Kapasiawala, J. & Bagchi, P., 2022, 2022 IEEE MIT Undergraduate Research Technology Conference, URTC 2022. Institute of Electrical and Electronics Engineers Inc., (2022 IEEE MIT Undergraduate Research Technology Conference, URTC 2022).
Rutgers, The State University
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Prosenjit Bagchi

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Collaborations and top research areas from the last five years

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Machine Learning Techniques for Predicting Blood Flow and Cancer Cell Trafficking in Microcirculation

Development and application of a high-fidelity computational model of diabetic retinopathy hemodynamics: Coupling single-cell biophysics with retinal vascular network topology and complexity

Multiphase Flow Dynamics of Blood Cells in Compliant Vessels: Towards A Computational Study of Autoregulation of Blood Flow in Microcirculation

A Computational Study of Cell Locomotion in Complex Environments: Towards a Fluid Mechanical Understanding of Cancer Progression

Network Hemodynamics: A Computational Study of Cellular Blood Flow and Particulate Transport in Microvascular Capillary Networks

Predicting capillary vessel network hemodynamics in silico by machine learning

A computational study of red blood cell deformability effect on hemodynamic alteration in capillary vessel networks

Application of machine learning in predicting blood flow and red cell distribution in capillary vessel networks

Hematocrit skewness along sequential bifurcations within a microfluidic network induces significant changes in downstream red blood cell partitioning

Mechanical-Based Design for Airfoil Structural Morphing

Prosenjit Bagchi

Fingerprint

Collaborations and top research areas from the last five years

Projects

Research output