Amir Reza Vazifeh

I'm a PhD student in Electrical and Computer Engineering at Princeton University, where I work in the Imaging Physics Lab under the supervision of Professor Jason Fleischer. I also collaborate with the Computational Imaging Lab, supervised by Professor Felix Heide. My research focuses on Computational Imaging and Optics, AI in healthcare and medicine, Computer Vision and Wearable Sensors.

Profile photo

Research

Representative papers are highlighted.


Fiber Bundle Imaging Seeing Through Fibers: Unsupervised Image Reconstruction in Fiber Bundle Imaging Systems
Amir Reza Vazifeh, Congli Wang, Amogh Joshi, Ilya Chugunov, Jipeng Sun, Jiwoon Yeom, Jason W. Fleischer,
José S. Pulido, Felix Heide

Optics Express 2026
project page / publication / code

We introduce an unsupervised method that reconstructs high-resolution fiber bundle images from misaligned bursts without calibration or paired data.

Cardiomyopathy ML An Open-Source Analysis of Cardiomyopathy Using Machine Learning and Electrocardiograms
Arda Altintepe, Asu Rustemli, Amir Reza Vazifeh, Jason W. Fleischer
Diagnostics 2026
publication / code

We developed an open-source ECG-based machine learning pipeline to distinguish hypertrophic from dilated cardiomyopathy subtypes using standard and vectorcardiogram features.

Hyperspectral Imaging Snapshot Hyperspectral Imaging via Compressive Sensing and Implicit Neural Representation
Jatearoon Boondicharern, Amir Reza Vazifeh, Jason W. Fleischer
Computational Optical Sensing and Imaging (COSI), Optica Imaging Congress 2025
publication / code

We propose a snapshot hyperspectral imaging method using randomized aperture codes and implicit neural representations.

ECG with Manifold Learning Manifold Learning for Personalized and Label-Free Detection of Cardiac Arrhythmias
Amir Reza Vazifeh, Jason W. Fleischer
arXiv 2025
preprint / code

We use nonlinear dimensionality reduction for unsupervised, personalized heartbeat phenotyping from ECGs and arrhythmia detection.

Advancing Personalized Healthcare Advancing personalized healthcare and entertainment: Progress in energy harvesting materials and techniques of self-powered wearable devices
Prithu Bhatnagar, Sadeq Hooshmand Zaferani, Nassim Rafiefard, Bardia Baraeinejad, Amir Reza Vazifeh, Raheleh Mohammadpour, Reza Ghomashchi, Harald Dillersberger, Douglas Tham, Daryoosh Vashaee
Progress in Materials Science (IF:40) 2023
publication

We reviewed recent advances in self-powered wearable devices, covering energy harvesting techniques, power management, and their application in long-term health and wellness monitoring.

ECG Patch Design and Implementation of an Ultralow-Power ECG Patch and Smart Cloud-Based Platform
Bardia Baraeinejad, Masood Fallah Shayan, Amir Reza Vazifeh, Diba Rashidi, Mohammad Saberi Hamedani, Hamed Tavolinejad, Pouya Gorji, Parsa Razmara, Kiarash Vaziri, Daryoosh Vashaee, Mohammad Fakharzadeh
IEEE Transactions on Instrumentation and Measurement 2022
publication

We developed an ultra-low-power, lightweight ECG patch for long-term monitoring, paired with an AI-assisted cloud platform for denoising and arrhythmia detection.


Miscellanea

Teaching &
Mentorship

Princeton ECE 452: Biomedical Imaging — Assistant in Instruction, Spring 2025 & 2026
Princeton ECE 435/535: Machine Learning and Pattern Recognition — Assistant in Instruction, Fall 2024
Princeton Laboratory Learning Program (LLP) — Mentoring high school students, Summer 2025

Review

IEEE Journal of Biomedical and Health Informatics