Amanda Randles, Assistant Professor  


Amanda Randles
Contact Info:
Office Location:  144 Hudson Hall
Office Phone:  (919) 660-6517
Email Address:   send me a message
Web Page:

Education:

Ph.D., Harvard University, 2013
Awards, Honors, and Distinctions

Gilbreth Lectureship, NAE
Presidential Early Career Awards for Scientists and Engineers (PECASE Awards), National Science Foundation (NSF)
Jack Dongarra Early Career Award, ISC
ACM Prize in Computing, ACM
Distinguished Member, ACM
Emerging Woman Leader in Technical Computing, ACM SIGHPC
Stansell Family Distinguished Research Award, Pratt School of Engineering
Pioneer Award, NIH
Fellow (NAI), National Academy of Inventors
Senior Member, National Academy of Inventors
IEEE-CS Technical Consortium on High Performance Computing (TCHPC) Award for Excellence for Early Career Researchers in High Performance Computing, IEEE
Grace Murray Hopper Award, ACM
MIT TR35 Visionary, MIT TR35
Ralph E. Powe Junior Faculty Enhancement Award, Oak Ridge Associated Universities
Best Paper, IEEE International Conference on Computational Science (ICCS) 2015, IEEE
Gordon Bell Finalist, ACM
Early Independence Award, NIH
Lawrence Fellowship, Lawrence Livermore National Laboratory
U.S. Delegate , Heidelberg Laureate Forum
Anita Borg Memorial Scholarship, Google
George Michael Memorial High Performance Computing Fellowship, ACM/IEEE
U.S. Delegate , Lindau Nobel Laureates and Students Meeting Dedicated to Physics
Computational Science Graduate Fellowship, Department of Energy
George Michael Memorial High Performance Computing Fellowship, ACM/IEEE
Gordon Bell Finalist, ACM
Graduate Research Fellowship, National Science Foundation
Teaching (Spring 2026):

  • BME 520L.001, COMP FOUND BIOMED SIMULATION Synopsis
    Hudson 218, TuTh 10:05 AM-11:20 AM
  • BME 520L.01L, COMP FOUND BIOMED SIMULATION Synopsis
    Hudson 115A, F 03:05 PM-06:05 PM
Recent Publications   (More Publications)

  1. Saxena, Y; Riley, L; Wu, R; Kabir, MS; Randles, A; Segura, T, 3D pore shape is predictable in randomly packed particle systems., Matter (October, 2025), pp. 102493 [doi]  [abs].
  2. Mac Grory, B; Randles, A; Urick, DM; Schwartz, FR; Hasan, D; Calabrese, ED, Photon-Counting Computed Tomography for Evaluation of Coiled Intracranial Aneurysms., AJNR Am J Neuroradiol (September, 2025), pp. ajnr.A9015 [doi]  [abs].
  3. Ghorbannia, A; Tanade, C; Yousef, A; Khan, NS; Vardhan, M; Chi, JT; Roychowdhury, S; Das, A; Leopold, JA; Chi, EC; Randles, A, Simulation-based machine learning for real-time assessment of side-branch hemodynamics in coronary bifurcation lesions, International Journal of High Performance Computing Applications, vol. 39 no. 5 (September, 2025), pp. 678-691, SAGE Publications [doi]  [abs].
  4. Khan, NS; Tanade, C; Geddes, J; Randles, A, Establishing hemodynamic convergence framework for coronary digital twins under realistic dynamic heart rates, Physics of Fluids, vol. 37 no. 9 (September, 2025), AIP Publishing [doi]  [abs].
  5. Geddes, JR; Jensen, CW; Tanade, C; Ghorbannia, A; Fudim, M; Patel, MR; Randles, A, Digital twins for noninvasively measuring predictive markers of right heart failure., NPJ Digit Med, vol. 8 no. 1 (August, 2025), pp. 545 [doi]  [abs].
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