Education
M.Sc. | University of Tehran | 2021 - Now |
Control Engineering
GPA: 3.74/4.0
Thesis: Modeling Peripheral Vision in Rodents
My master’s thesis delves deeply into the intriguing realm of visual perception, specifically focusing on the coding of peripheral vision in rodents as compared to the foveal vision observed in primates. Through a comprehensive analysis of the information flow within the visual pathways of rodents, I am endeavoring to formulate a groundbreaking model that can decode peripheral vision—a contrast to the established primate models. To achieve this, I conducted extensive experiments where rats were exposed to natural scenes multiple times, and my analysis is based on the collective data gathered from these rat populations. This research represents a significant step towards unraveling the mysteries of peripheral vision coding, with the potential to enhance our understanding of visual perception across species.
B.Sc. | University of Tehran | 2016 - 2021 |
Telecommunication Systems Engineering
GPA: 3.53/4.0
Thesis: Design and Implementation of an Desktop Eye Tracking System
For my bachelor’s thesis, I undertook the challenging task of designing and implementing a desktop-mounted eye tracking system. This project involved meticulous design work using SolidWorks and the manufacturing of components through 3D printing. On the software side, I developed the application’s backend using C++, which seamlessly integrated with the powerful psychophysics framework, PsychoPy, and Python. The primary objective of this endeavor was to create a robust eye tracking system characterized by exceptional spatial resolution and a high sample rate. The system delivered outstanding results, boasting an impressive spatial resolution accuracy of less than 0.5 visual angle, combined with a remarkable sample rate of 500 Hz. This achievement represents a significant milestone in the pursuit of precise eye tracking technology and its potential applications in various fields.