I first discovered my passion for electrical engineering at the age of 10, when I began assembling electrical boards and was instantly captivated by the world of electronics, fascinated by how a few wires and components could spark a universe of possibilities. Growing up in Shiraz, Iran, this early spark led me to pursue a Bachelor's degree at Shiraz University of Technology before continuing my academic journey at Michigan Technological University. 

After earning my Bachelor's degree, I pursued advanced studies in optics and photonics, completing both my Master's and Ph.D. in Electrical Engineering at Michigan Technological University. My research focused on the intersection of optics, deep learning, and image processing, where I developed innovative optical techniques and deep learning algorithms to mitigate image noise, restore degraded imagery, and improve image quality, particularly under atmospheric distortion conditions. I demonstrated these applications through a Moiré-based apparatus engineered for remote seismic sensing in challenging environments.

During my years at Michigan Tech, I also discovered a deep appreciation for the outdoors. Swimming in Lake Superior quickly became one of my favorite summer activities, with its crystal-clear waters remaining refreshingly cool even on the warmest days. The breathtaking landscapes of Michigan’s Upper Peninsula also sparked my passion for camping, a hobby I continue to enjoy today .

Discover more about my professional journey. 

 My research focuses on the intersection of computational imaging, machine learning, and optical engineering. I develop innovative imaging systems and deep learning methods to restore degraded imagery, mitigate atmospheric distortions, and enhance image quality in challenging real-world conditions. My work combines advanced optics with AI-driven image processing, including the development of a custom Moiré-based sensing system for remote seismic monitoring in hazardous environments.