Arash is a research scientist at IHMC working on machine learning. Arash joined IHMC from ABB Robotics R&D Center, San Jose, Calif., where he worked on developing the next generation of artificial intelligence for industrial robots. He earned his dual degree in electrical engineering (PhD) and statistics (MSc) from Michigan State University and MSc in electrical engineering from Shiraz University.
His research areas of interest include machine learning, computer vision, deep learning, reinforcement learning, and data analytics.
For his MSc thesis, he focused on computer vision and image processing, specifically enhancing the spatial quality of multispectral images. He later developed a computer vision algorithm to detect the surface defects of the cold rolled steels. The algorithm located the defected areas using texture segmentation methods and extracted several statistical features to be classified using a trained neural network. He has worked on several computer vision projects, including multi-view object representation, object detection and classification, etc. During his PhD, he used tensor analysis, compressive sensing and dictionary learning to develop algorithms for event detection and tracking of complex networks.