Short Bio

I've got my B.Sc. in Electrical Engineering from Amirkabir University of Technology. I was a member of Real-Time lab and I was fortunate to work with Prof. Heidar Ali Talebi as my undergraduate advisor. I am curretly pursuing my PhD in Computer Science at the Center for Research in Computer Vision (CRCV) under Dr. Ulas Bagci at University of Central Florida (UCF). My research is mainly focused on the intersection of machine learning and computer vision. More specifically I am working on machine learning methods such as deep learning, reinforcement learning, generative models and adversial learning for tasks such as attention modeling, decision making, segmentation, detection etc. My work is mainly focused on medical applications of such methods for development of Computer Aided Diagnosis (CAD) systems.
A short version of my CV can be found below.



This project, which was a part of NSF's REU program at CRCV, presents binary characterization of lung nodules (malignant vs benign) through deep learning and hand-crafted features. For hand-crafted features, we selectively combine Bag of Frequencies (BoF) and a modified version of Taxonomic indices. Additionally, we use a robust radius estimation algorithm as the size of the tumor can be a good indicator for malignancy of the tumor. Our work aims to expand upon existing detection and classification methods to improve lung cancer diagnosis accuracy. This was the very first time in the literature that BoF and Taxonomic features are combined with Deep Learning features to identify malignant tumors with high sensitivity and specificity.