Faculty & Staff Directory
- Associate Professor, Center for Computational Fluid Dynamics, Department of BioEngineering
Juan R. Cebral is a Professor at the Bioengineering Department, Volgenau School of Engineering, and a member of the Center for Computational Fluid Dynamics at George Mason University, in Fairfax, Virginia, USA. He finished his undergraduate studies in Physics at the University of Buenos Aires, Argentina in 1991 and received his Ph.D. in Computational Sciences and Informatics from George Mason University in 1996. He conducts research on image-based computational modeling of cerebral blood flow and aneurysms in close collaboration with clinicians from Inova Fairfax Hospital. He has co-authored over 100 journal papers, 10 book chapters, and over 200 conference papers. His research has been funded by the National Institutes of Health, the American Heart Association, the Whitaker Foundation as well as industrial partners such as Philips Healthcare and Boston Scientific.
Patient-specific computational fluid dynamics modeling of blood flows in cerebral arteries and aneurysms; understanding the role of hemodynamics in the mechanisms responsible for aneurysm initiation, growth, and rupture; risk assessment; and medical device modeling (flow diverters).
We are collaborating with Dr. Anne Robertson from the University of Pittsburgh and Dr. Khaled Aziz from Allegheny General Hospital on a project that aims at connecting aneurysm hemodynamics to the structure and mechanical properties of the aneurysm wall, using a combination of image-based computational modeling, multi-photon microscopy imaging of human aneurysm tissue harvested during surgery, and mechanical testing. This work is supported by the NIH through an R21 grant.
We are collaborating with Dr. David Kallmes and Dr. Ramanathan Kadirvel from the Mayo Clinic on a project that studies the relationship between the blood flow dynamics and the thrombosis and tissue growth in cerebral aneurysms treated with flow diverting devices. In this project, we use a combination of multi-modality imaging, image-based computational modeling, and histology analysis of experimental aneurysms created in rabbits.
- ME 322 – Fluid Mechanics
- BENG 304 – Modeling Physiologic Control Systems
- BENG 499/590 – Biofluid Dynamics
- CSI 701 – Foundations of Computational Sciences
- CSI 702 – High-Performance Computing
- CSI 720 – Fluid Mechanics
- Chung BJ, Doddasomayajula R, Mut F, Detmer F, Pritz M, Hamzei-Sichani F, Brijikjiki W, Kallmes D, Jimenez C, Putman C, Cebral JR, Angio-architectures and hemodynamics characteristics of posterior communicating artery aneurysms and their association with rupture status, AJNR Am J Neuroradiol 2017 – in press
- Doddasomayajula R, Chung BJ, Hamzei-Sichani F, Putman CM, Cebral JR, Differences in hemodynamics and rupture rate of aneurysms at the bifurcation of the basilar and internal carotid arteries, AJNR Am J Neuroradiol 2017 (DOI: 10.3174/ajnr.A5088) – in press.
- Cebral JR, Ollikainen E, Chung BJ, Mut F, Sippola V, Jahromi BR, Tulamo R, Hernesniemi J, Niemela M, Robertson A, Frosen J, Flow conditions in intracranial aneurysm lumen associate with inflammation and degenerative changes of the aneurysm wall, AJNR 38(1): 119-126, 2017 (DOI: 10.3174/ajnr.A4951).
- Cebral JR, Duan X, Gade PS, Chung BJ, Mut F, Aziz K, Robertson AM, Regional mapping of flow and wall characteristics of intracranial aneurysms, ABME, 44(12): 3553-3567, 2016 (DOI: 10.1007/s10439-016-1682-7).
- Cebral JR, Duan X, Chung BJ, Putman CM, Aziz K, Robertson A, Wall mechanical properties and hemodynamics of unruptured intracranial aneurysms, AJNR 36(9): 1695-1703, 2015 (DOI: 10.3174/ajnr.A4358).
- Robertson A, Duan X, Aziz K, Hill M, Watkins S, Cebral JR, Diversity in the strength and structure of unruptured cerebral aneurysms, ABME 43(7): 1502-1515, 2015 (DOI 10.1007/s10439-015-1252-4).
1. R155CA213093, National Institutes of Health
Role: Co-Inv. Funding: $436,572 Dates: 07/01/2017-06/30/2020 PI: Salvador-Morales (GMU)
Title: Engineering a novel theranostic device for breast cancer treatment based on multiplexing semiconducting patchy polymeric particles
The objective of this project is to optimize the production of patchy particles for imaging and treatment of cancer tumors using a combination of experimental and computational methods
2. R01NS097457, National Institutes of Health
Role: Co-Inv. Funding: $ 1,093,655.12 Dates:09/01/2016-08/31/2021 PI: Robertson (U.Pitt)
Title: Improving cerebral aneurysm risk assessment through understanding wall vulnerability and failure modes
The objective of this project is to connect flow conditions to wall structure and strength in cerebral aneurysms using resected tissue samples and computational modeling and use this information to identify unruptured aneurysms at risk of rupture
3. R01NS076491, National Institutes of Health
Role:Co-PI Funding: $731,756.58 Dates:9/1/2016-8/31/2021 Co-PIs: Kardivel/Kallmes (Mayo)
Title: Computational and Biological Approach to Flow Diversion – Renewal
The major goal of this project is to model the hemodynamic alteration produced by flow diverting devices on animal models of cerebral aneurysms and relate them to long term aneurysm occlusion rates
4. Grant 222896, Jeffress Trust
Role: Co-Inv. Funding: $100,000 Dates: 06/30/16-06/29/2017 PI: Salvador-Morales
Title: Using comp. modeling for the design and optimization of novel cancer theranostics
The objective of this project is to optimize the production of patchy nanoparticles through improved understanding and control of the flow conditions created during the particle synthesis
5. R21 NS094780-02, National Institutes of Health
Role: PI Funding: $406,503 Dates: 09/15/2015-08/31/2018 PI: Cebral
Title: Improved evaluation of PCOM aneurysms: angio-architecture, hemodynamics & shape
The objective of this project is to identify angio-architecture and aneurysm characteristics that distinguish between ruptured and unruptured PCOM aneurysms and use this information to better assess rupture risk
6. Research Grant, Philips Health Care, The Netherlands
Role: PI Funding: $80,000 Dates: 08/01/2012-09/30/2016 PI: Cebral
Title: Evaluation of Flow Diversion Treatment for Cerebral Aneurysms
The overall objective of the project is to evaluate the prognostic value of average aneurysm flow velocity changes before and after treatment with flow diverting devices.