Arash Mahyari is a research scientist at Florida Institute for Human and Machine Cognition (IHMC), working on machine learning and signal processing. Arash joined IHMC from ABB Robotics R&D Center, San Jose, CA, where he worked on developing the next generation of artificial intelligence for industrial robots. He received his dual degree in electrical engineering (PhD) and Statistics (MSc) from Michigan State University and MSc in electrical engineering from Shiraz University.
Prior to joining IHMC, Arash has worked on several projects in different domains. For his MSc thesis, he developed image fusion algorithms to enhance the spatial quality of multispectral images of the LANDSAT satellite. 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 an image processing project and developed an embedded system based on Analog Device DSP processors for telecommunication companies. During his PhD, he used tensor analysis, compressive sensing and dictionary learning to develop algorithms for event detection and tracking of functional connectivity networks (cognitive science). Arash is currently working on different aspects of machine learning, computer vision and decision making process, mostly related to the DARPA AI Next campaign.
Software and Codes
- Phase-Synchrony [code]