
Amir Rouhollahi
Research Assistant

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About me
Research Fellow at Harvard Medical School
Education

University of Central Florida
2015 - 2019Doctor of Philosophy (Ph.D.) Mechanical Engineering
Experience

Sharif University of Technology
Jan 2012 - Dec 2013Research AssistantMedical Device Prototype Conceptual Design

University of Central Florida
Aug 2015 - Dec 2019Graduate Teacher AssistantGrading Exams; Proctoring Exams; Holding Office Hours; Working on Ph.D. Dissertation.

Brigham and Women's Hospital
Aug 2021 - nowPostdoctoral Research Fellow
Harvard Medical School
Aug 2021 - nowPostdoctoral Research Fellow
Licenses & Certifications

ABAQUS
ELearning Center of Iran TVTO- View certificate

Neural Networks and Deep Learning
CourseraNov 2021 
ANSYS
ELearning Center of Iran TVTO- View certificate

Python Django Dev To Deployment
UdemyJan 2021 - View certificate

Biomedical Research Investigators and Key Personnel
CITI ProgramOct 2021 - View certificate

Full stack web development and AI with Python
UdemySept 2020
Honors & Awards
- Awarded to Amir RouhollahiAmerican Heart Association (AHA) postdoctoral fellowship award American Heart Association Dec 2023 Our publication in the journal Computational Medicine and Imaging, titled "CardioVision: A Fully Automated Deep Learning Package for Medical Image Segmentation and Reconstruction Generating Digital Twins for Patients with Aortic Stenosis," marks a significant milestone in our research. This paper, available at https://doi.org/10.1016/j.compmedimag.2023.102289, details our innovative approach to tackling aortic stenosis, a major cardiovascular disease. I extend my heartfelt gratitude to my… Show more Our publication in the journal Computational Medicine and Imaging, titled "CardioVision: A Fully Automated Deep Learning Package for Medical Image Segmentation and Reconstruction Generating Digital Twins for Patients with Aortic Stenosis," marks a significant milestone in our research. This paper, available at https://doi.org/10.1016/j.compmedimag.2023.102289, details our innovative approach to tackling aortic stenosis, a major cardiovascular disease. I extend my heartfelt gratitude to my co-authors for their exceptional contributions and insights.In this study, we developed an advanced AI tool that significantly simplifies the process of reconstructing digital twins of patients' aortic valves and assessing calcification distribution. This tool represents not just an academic achievement but a potential paradigm shift in how we approach patient-specific diagnostics and treatment planning in cardiovascular medicine.Additionally, our conference paper titled "AI-Guided Assessment of Calcium Burden for Enhanced Risk Stratification and Outcome Prediction in Severe Aortic Stenosis Patients Undergoing Transcatheter Aortic Valve Replacement," presented at the Journal of the American College of Cardiology, further demonstrates the potential of AI in improving the precision and effectiveness of medical interventions in cardiovascular care. The details of this presentation can be found at https://www.jacc.org/doi/abs/10.1016/j.jacc.2023.09.398. Show less
- Awarded to Amir RouhollahiIndividual Spotlight Award Brigham and Women’s Hospital Jun 2023
- Awarded to Amir RouhollahiPI of Accepted Proposal - Oct 2019 Co-Author of Accepted Proposal granted from Information Technology and Innovation Foundation (IFIT) in collaboration with School of Public Administration at University of Central Florida.
- Awarded to Amir RouhollahiBest Doctoral Research Award Department of Mechanical and Aerospace Engineering Mar 2018 Winner of 1st Doctoral Research Award , 2018.Department of Mechanical and Aerospace Engineering,University of Central Florida.
Languages
- enEnglish
- pePersian
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