Computer Science and A.I. Lab (CSAIL)
McGovern Institute for Brain Research
Massachusetts Institute of Technology
Cambridge, MA, USA
I am currently a postdoctoral associate at Computer Science and A.I. Lab (CSAIL) and McGovern Institute for Brain Research at Massachusetts Institute of Technology (MIT) working under supervision of Dr. Aude Oliva. and Dr. Dimitrios Pantazis. Before I was a postdoctoral researcher in The Visuomotor Neuroscience Lab, Center for Vision Research at York University where I was working on computational modeling of Trans-saccadic perception and visual feature integration under supervision of Dr. Douglas Crawford. In my PhD research I was working in the field of statistical machine learning methods in The Multimedia Signal Processing Lab in Electrical Engineering Department of Amirkabir University of Technology (Tehran Polytechnic) under supervision of Dr. Hamid Sheikhzadeh and Dr. Ali M. Reza. My research interest includes:
- Biomodeling, Human brain Imaging (fMRI/MEG/EEG) and Computational Neuroscience: Neural mechanism of perception and memory, Modeling visual perception in ventral stream with fMRI/MEG fusion, Modeling human brain vision mechanism, Modeling visual feature integration, Modeling Visual Perception in Ventral Stream, Computational Sensorimotor Control, and Working Memory.
- Machine Learning, Data Analysis and Signal Processing: Theoretical Machine Learning and Statistics, Bayesian Methods for Machine Learning, Non-parametric Bayesian methods, Approximate Inference Algorithms, Graphical Models, Sparse Bayesian Learning, Classification and Regression, Convolutional Neural Networks and Deep Learning.
- Machine Vision, Video and Image Understanding: Video Understanding, Action Recognition, Object Recognition, Face Recognition, Facial Expression Recognition, Motion Tracking.