Peter Balogh

Peter received his B.S. in mechanical engineering from the University of Notre Dame in 2004. After working in industry for a number of years analyzing fluid/thermal systems of power plants, he received his Ph.D. from Rutgers University in 2018 working with Prosenjit Bagchi in the area of computational biofluid dynamics. He then did a postdoc with Amanda Randles at Duke University in the biomedical engineering department, and joined NJIT in the Fall of 2021. Peter developed a new method for modeling flows of 3D biological cells through highly complex geometries, which he has used to provide new and novel insights into the microhydrodynamics of blood flow. He was awarded the 2019 Andreas Acrivos Dissertation Award in Fluid Dynamics from the American Physical Society, which is an annual award given to one young scientist for outstanding thesis work in the area of fluid dynamics. His work has been featured on the cover of the Biophysical Journal, was selected as a Feature Story for the Texas Advanced Computing Center, and was featured in the press for the National Science Foundation. Peter’s research interests include computational fluid dynamics modeling of biological flows in the microcirculation, numerical methods for complex fluid-structure interfaces, and code development for high performance computing. While a mechanical engineer at heart, his research is highly multidisciplinary, and he thoroughly enjoys learning about and investigating fluid mechanical phenomena using ideas from engineering, physics, and biology via high performance computing.

Ph.D.; Rutgers University-New Brunswick; Mechanical Engineering; 2018

B.S.; University of Notre Dame; Mechanical Engineering; 2004

2019 Andreas Acrivos Dissertation Award in Fluid Dynamics, American Physical Society

https://sites.google.com/view/balogh-group/

Angiogenesis and cellular-scale fluid dynamics

Large-scale simulation of cellular-scale flows

Lymphatic system transport of cancer cells

Numerical methods for flows involving complex interfaces (e.g. deformable, moving)

Code development and parallelization for high performance computing

Multi-phase, particulate, and cellular flows

Hu, Nien-Wen, & Rodriguez, Camille, & Rey, Julian, & Rozenblum, Maximillian, & Courtney, Connor, & Balogh, Peter, & Sarntinoranont, Malisa, & Murfee, Walter (2022). Estimation of shear stress values along endothelial tip cells past the lumen of capillary sprouts. Microvascular Research, 142, 104360.

Hu, Nien‐Wen, & Lomel, Banks, & Balogh, Peter, & Murfee, Walter (2022). Estimation of Shear Stress Heterogeneity along Capillary Segments in Angiogenic Rat Mesenteric Microvascular Networks. The FASEB Journal, 36(S1),

Balogh, Peter, & Gounley, John, & Roychowdhury, Sayan, & Randles, Amanda (2021). A data-driven approach to modeling cancer cell mechanics during microcirculatory transport. Scientific Reports, 11(1),

Puleri, Daniel, & Balogh, Peter, & Randles, Amanda (2021). Computational models of cancer cell transport through the microcirculation. Biomechanics and Modeling in Mechanobiology,

Ebrahimi, Saman, & Balogh, Peter, & Bagchi, Prosenjit (2021). Motion of a capsule in a curved tube. Journal of Fluid Mechanics, 907,

High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory
2022