Amanda Randles

Amanda Randles
  • Alfred Winborne and Victoria Stover Mordecai Assistant Professor of Biomedical Sciences
  • Assistant Professor of Biomedical Engineering
  • Member of the Duke Cancer Institute
External address: 303 Gross Hall, 140 Science Dr., Durham, NC 27708
Internal office address: Box 90984, Durham, NC 27708
Phone: (919) 660-5425

My research in biomedical simulation and high-performance computing focuses on the development of new computational tools that we use to provide insight into the localization and development of human diseases ranging from atherosclerosis to cancer. 

Education & Training
  • Ph.D., Harvard University 2013

Selected Grants

University Training Program in Biomolecular and Tissue Engineering awarded by National Institutes of Health (Mentor). 1994 to 2022

University Training Program in Biomolecular and Tissue Engineering awarded by National Institutes of Health (Mentor). 1994 to 2022

Toward coupled multiphysics models of hemodynamics on leadership systems awarded by National Institutes of Health (Principal Investigator). 2014 to 2020

Student Support: IEEE Cluster 2018 Conference awarded by National Science Foundation (Principal Investigator). 2018 to 2020

3D Bioprinted Aneurysm for Intervention Modeling Validation awarded by Lawrence Livermore National Laboratory (Principal Investigator). 2019

Training in Medical Imaging awarded by National Institutes of Health (Mentor). 2003 to 2019

ORNL Joint Faculty Appointment for Amanda Randles awarded by (Principal Investigator). 2017 to 2019

Hartwell Fellowship awarded by (Principal Investigator). 2017 to 2018

Using GPU-Accelerated Computational Fluid Dynamics to Study In-stent Restenosis awarded by Oak Ridge Associated Universities (Principal Investigator). 2016 to 2017

Dabagh, Mahsa, et al. “Hemodynamic and morphological characteristics of a growing cerebral aneurysm..” Neurosurg Focus, vol. 47, no. 1, July 2019. Pubmed, doi:10.3171/2019.4.FOCUS19195. Full Text

Lee, S., et al. “Performance portability study for massively parallel computational fluid dynamics application on scalable heterogeneous architectures.” Journal of Parallel and Distributed Computing, vol. 129, July 2019, pp. 1–13. Scopus, doi:10.1016/j.jpdc.2019.02.005. Full Text

Vardhan, Madhurima, et al. “The importance of side branches in modeling 3D hemodynamics from angiograms for patients with coronary artery disease..” Scientific Reports, vol. 9, no. 1, June 2019. Epmc, doi:10.1038/s41598-019-45342-5. Full Text

Feiger, Bradley, et al. “Suitability of lattice Boltzmann inlet and outlet boundary conditions for simulating flow in image-derived vasculature..” International Journal for Numerical Methods in Biomedical Engineering, vol. 35, no. 6, June 2019. Epmc, doi:10.1002/cnm.3198. Full Text

Grigoryan, Bagrat, et al. “Multivascular networks and functional intravascular topologies within biocompatible hydrogels..” Science (New York, N.Y.), vol. 364, no. 6439, May 2019, pp. 458–64. Epmc, doi:10.1126/science.aav9750. Full Text

Gounley, J., et al. “A Framework for Comparing Vascular Hemodynamics at Different Points in Time..” Computer Physics Communications, vol. 235, Feb. 2019, pp. 1–8. Epmc, doi:10.1016/j.cpc.2018.05.014. Full Text

Dabagh, Mahsa, and Amanda Randles. “Role of deformable cancer cells on wall shear stress-associated-VEGF secretion by endothelium in microvasculature..” Plos One, vol. 14, no. 2, Jan. 2019. Epmc, doi:10.1371/journal.pone.0211418. Full Text

Gounley, John, et al. “Computing the ankle-brachial index with parallel computational fluid dynamics..” Journal of Biomechanics, vol. 82, Jan. 2019, pp. 28–37. Epmc, doi:10.1016/j.jbiomech.2018.10.007. Full Text

Hegele, L. A., et al. “High-Reynolds-number turbulent cavity flow using the lattice Boltzmann method.” Physical Review E, vol. 98, no. 4, Oct. 2018. Scopus, doi:10.1103/PhysRevE.98.043302. Full Text

Rafat, M., et al. “Impact of diversity of morphological characteristics and Reynolds number on local hemodynamics in basilar aneurysms.” Aiche Journal, vol. 64, no. 7, July 2018, pp. 2792–802. Scopus, doi:10.1002/aic.16091. Full Text

Pages

Vardhan, M., et al. “Computational fluid modeling to understand the role of anatomy in bifurcation lesion disease.” Proceedings  25th Ieee International Conference on High Performance Computing Workshops, Hipcw 2018, 2019, pp. 56–64. Scopus, doi:10.1109/HiPCW.2018.8634225. Full Text

Gounley, J., et al. “Immersed Boundary Method Halo Exchange in a Hemodynamics Application.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11536 LNCS, 2019, pp. 441–55. Scopus, doi:10.1007/978-3-030-22734-0_32. Full Text

Herschlag, G., et al. “GPU data access on complex geometries for D3Q19 lattice boltzmann method.” Proceedings  2018 Ieee 32nd International Parallel and Distributed Processing Symposium, Ipdps 2018, 2018, pp. 825–34. Scopus, doi:10.1109/IPDPS.2018.00092. Full Text

Gounley, J., et al. “A computational framework to assess the influence of changes in vascular geometry on blood flow.” Pasc 2017  Proceedings of the Platform for Advanced Scientific Computing Conference, 2017. Scopus, doi:10.1145/3093172.3093227. Full Text

Laurence, T. A., et al. “Using stroboscopic flow imaging to validate large-scale computational fluid dynamics simulations.” Progress in Biomedical Optics and Imaging  Proceedings of Spie, vol. 10076, 2017. Scopus, doi:10.1117/12.2253319. Full Text

Gounley, John, et al. “Numerical simulation of a compound capsule in a constricted microchannel..” Procedia Computer Science, vol. 108, 2017, pp. 175–84. Epmc, doi:10.1016/j.procs.2017.05.209. Full Text

Gounley, John, et al. “Does the degree of coarctation of the aorta influence wall shear stress focal heterogeneity?.” Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference, vol. 2016, 2016, pp. 3429–32. Epmc, doi:10.1109/EMBC.2016.7591465. Full Text Open Access Copy

Randles, A., et al. “Massively parallel models of the human circulatory system.” International Conference for High Performance Computing, Networking, Storage and Analysis, Sc, vol. 15-20-November-2015, 2015. Scopus, doi:10.1145/2807591.2807676. Full Text

Kale, V., et al. “Locality-optimized mixed static/dynamic scheduling for improving load balancing on SMPs.” Acm International Conference Proceeding Series, vol. 09-12-September-2014, 2014, pp. 115–16. Scopus, doi:10.1145/2642769.2642788. Full Text

You, Y., et al. “MIC-SVM: Designing a highly efficient support vector machine for advanced modern multi-core and many-core architectures.” Proceedings of the International Parallel and Distributed Processing Symposium, Ipdps, 2014, pp. 809–18. Scopus, doi:10.1109/IPDPS.2014.88. Full Text

Pages

Randles, A., and E. Kaxiras. “A spatio-temporal coupling method to reduce the time-to-solution of cardiovascular simulations.” Proceedings of the International Parallel and Distributed Processing Symposium, Ipdps, 1 Jan. 2014, pp. 593–602. Scopus, doi:10.1109/IPDPS.2014.68. Full Text Open Access Copy

Bass connections professorships

Vahid Tarokh and Amanda Randles were two of seven faculty members endowed Bass Connections Professorships.  This honor recognizes faculty whose scholaraship and teaching align with the interdisciplinary and collaborative nature of the program, while... read more »