Hi there! I'm a PhD student in the Biomedical Engineering Department at Johns Hopkins University.
Resume
I currently work at Dr Natalia Trayanova’s Computational Cardiology Lab where I use computers to simulate the electrophysiology of the human heart and aid clinicians in critical decision-making for arrhythmia management.
Experience
Graduate Research Assistant
Johns Hopkins University
Jul 2020 to present
Graduate Student Researcher
Johns Hopkins University
Sep 2017 to Feb 2019
Research Assistant
Johns Hopkins University
Feb 2019 to June 2020
Undergraduate Student Researcher
Aligarh Muslim University, India
Sep 2016 to Jun 2017
Education
Ph.D. Biomedical Engineering
Johns Hopkins University
Fall 2020 to present
B.Tech. Mechanical Engineering
Aligarh Muslim University, India
2017
M.S.E. Mechanical Engineering
Johns Hopkins University
2019
Soft Skills & Languages
Organized
Patient
Communicative
Empathetic
Collaborative
English
Urdu
Hindi
Publications
Ali, S. Y. (2018). Threshold Volume Fraction of Multiple Droplets undergoing Inertial Focusing in a Channel with Poiseuille Flow (MSE dissertation, Johns Hopkins University).
Conference Publications
Sakata, K., Bradley, R., Ali, S. Y., Yamamoto Alves Pinto, C., Loeffler, S., Kholmovski, E.G., Prakosa, A. and Trayanova, N., (2022). Reentrant Drivers Are Distinguished From Passive Rotors by Sequential Computer Simulation of Ablation Using Personalized Non-Paroxysmal Atrial Fibrillation Heart Models Based on Late Gadolinium Enhancement Magnetic Resonance Imaging (LGE-MRI). (Circulation, American Heart Association)
Ali, S. Y., Millare, B., Bradley, R., Ali, R. L., Boyle, P. M., Salvador, M., Fedele, M., Aronis, K. N., Paliwal, N., Prakosa, A., Roney, C. H., Vigmond, E. J. , Niederer, S. A., Trayanova, N. A. (2021). Rapid and Robust Mapping of Clinical Data On Personalized Volumetric Atrial Geometries (Heart Rhythm Scientific Sessions, Boston, USA) DOI: 10.1016/j.hrthm.2021.06.927
Ali, R. L., Prakosa, A., Basile, D., Ali, S. Y., Millare, B., Pandey, P., Paliwal, N., Kholmovski, E. G., Spragg, D. D., Calkins, H., Trayanova, N. A. (2020). A Comprehensive Platform For Computationally-guided Prediction Of Atrial Fibrillation (AF) Ablation Targets From Late Gadolinium Enhancement MRI (LGE-MRI) (Heart Rhythm Scientific Sessions).