I've always been passionate about stories, especially visual ones. My first love was watching movies and series, and I could spend hours engrossed in them. The power of these visual stories to captivate and convey complex ideas has always fascinated me.
From an early age, I discovered a passion for math and logical thinking. I found coding to be a natural extension of these interests, presenting both logical and creative challenges that I found incredibly engaging.
In my undergrad, I found a way to merge these two worlds: Computer Vision combined with Machine Learning. This realization opened up a whole new realm of possibilities where I could blend my love for visual storytelling with my technical skills.
To this day, the field of computer vision continues to captivate me. Whether it’s enhancing images, creating new visual content, or developing innovative solutions, the intersection of storytelling, math, and coding through computer vision is endlessly inspiring to me.
When I'm not coding, I love being in nature, especially by the ocean, and staying active. I also enjoy exploring ideas and new places.
Simon Fraser University, BC, Canada
Thesis: Computational Flash Photography
Related Courses:
Machine Learning: A+, Computer Vision: A+, Design and Analysis of Algorithms: A,
Computational Photography: A,
Geometric Modelling in Computer Graphics: A
Sharif University of Technology, Tehran, Iran
Related courses:
Computer Graphics, Advanced 3D Computer Vision, Digital Signal Processing, Design of Algorithms, Advanced Programming,
Data Structures
MARZ VFX
GrUVi lab, Simon Fraser University
A system to computationally control the flash light in photographs originally taken with or without flash.
Accepted at CVPR 2023.
Dolly Zoom effect created on a single RGB image with monocular depth estimation.
An automated mix-and-match part assembly-based 3D modeling.