Sajad Abavisani

Sajad Abavisani is a Graduate Research Assistant at the Georgia Institute of Technology, involved in projects focusing on the intersection of causal learning and deep learning since August 2020. Additionally, Sajad contributes to the TReNDS Center, working on causal structure learning and machine learning applications to analyze fMRI data for understanding brain region interactions. Prior experience includes serving as an Undergraduate Researcher at the Cognitive Computing Lab at Ferdowsi University of Mashhad, where Sajad designed a neural network for detecting hand gestures in amputated hands, and completing an internship in the Machine Learning/Computer Vision Lab, implementing eye pupil and gaze detection tools. Sajad is pursuing a Doctor of Philosophy in Electrical and Computer Engineering at Georgia Institute of Technology, having also earned a Master of Science in the same field and a Bachelor's degree in Electrical Engineering from Ferdowsi University of Mashhad. Education began at the National Organization for Development of Exceptional Talents, with a focus on mathematics and physics.