Ph.D. Projects, Stevens Institute of Technology
Measuring brain shape changes in aging and neurodegenerative diseases
Integrating a connectome model of the brain into the 3D geometry of a brain to build a physic-informed model of the biomarker abnormality progression in Alzheimer’s disease.
Numerical analysis of the morphological features of the brain
Developed computational methods to measure the morphometry of the complex brain shape, based on an MRI-based meshed geometry of a brain. The measures include curvature and cortical thickness.
Connectome-based diffusion model of Alzheimer’s disease
Created a network-based diffusion model of the progression of Alzheimer’s disease by utilizing the Fisher-Kolmogorov reaction-diffusion equation and the discrete brain network model.
Registration of longitudinal MR images of the brain
Performed multi-step registration on magnetic resonance images of the brain to identify and quantify the shape changes of the brain due to aging and neurodegeneration.
Building the brain connectome from diffusion tensor images
Generated a network model of the brain, connectome, from the Diffusion-weighted magnetic resonance images to discretize the geometry of the brain into a series of nodes and connections.
M.Sc. Projects, University of Tehran
The Mechanical Functions of Uterus and Cervix on Preterm Birth (Thesis)
Investigated the impact of cervical softening and amniotic sac deformation on preterm labor utilizing a patient-specific 3D model. Identified that altered amniotic sac geometry heightened cervical stress, consequently initiating cervical insufficiency and premature delivery.
Created a prediction model of bone remodeling around an orthopedic screw
Researched the impact of bone screw engineering designs on stress shielding and loosening using a two-dimensional finite element model. Developed parameters to quantify screw-bone load-sharing patterns, revealing design adjustments that reduce screw loosening probability, with implications beyond orthopedic screws.
Analyzed biomechanical effects of stent material on a stented coronary artery
Explored the performance of biodegradable magnesium alloy coronary stents compared to permanent stainless-steel counterparts using finite element analysis. Evaluated stent behavior during deployment, stress distribution, vessel response, and likelihood of restenosis.