About Me

I am a 4th year PhD student in School of Electrical and Computer Engineering at Georgia Institute of Technology. My research focus is Machine Learning (ML) and Optimization. I am interested in interpretable models and knowledge discovery using ML to unlock the hidden patterns in the data. Currently, I am a member of Photonics Research Group lead by Dr. Ali Adibi where I am working on the development of ML methods for inverse design nad knowledge discovery in nanophotonics. In a collaboration with Emory University School of Medicine, I am also working on developing ML-based tools to help radiologists for faster and more accurate diagnosis of lung diseases. I received my B.Sc. and M.Sc. in electrical engineering from Shiraz University in 2014 and 2017, respectively.

News

• Our paper titled "Toward Understanding COVID-19 Pneumonia: A Deep-learning-based Approach for Severity Analysis and Monitoring the Disease" has been published by Scientific Reports and is available here.

• Our recenet work, "Manifold Learning for Knowledge Discovery and Intelligent Inverse Design of Photonic Nanostructures: Breaking the Geometric Complexity", is now available here.

• Our paper "Accelerating Inverse Design of Nanostructures Using Manifold Learning" has been accepted to ML4Eng @ NeurIPS 2020 and is now online here!