Dr Atyabi received his B.Sc from Azad University of Mashhad, Iran, his Master of Science by research from Multimedia University, Malaysia (swarm robotics), and his PhD from Flinders University of South Australia (Cognitive and Computational Neuroscience).  In his 1st postdoctoral training in University of Salford, Manchester UK he researched and supervised students in multi-swarm multi-mission management systems, robotics, rehabilitation and smart environment. In his 2nd postdoctoral training at Yale Child Study Center in Yale University USA, he was a member of Data Acquisition and Analytics Core (DAAC) in Autism Biomarkers and Clinical Trials Consortium (ABC-CT), working on analyzing electroencephalogram (EEG) and eye-tracking data in order to identify robust biomarkers for Autism Spectrum Disorder. Dr Atyabi continued his involvement in DAAC and ABC-CT after moving to University of Washington and Seattle Children’s Research Institute (SCRI) during his 3rd postdoctoral training and later as a Research Scientist in SCRI.  

Dr Atyabi’s Research Interests are as follows:

Cognitive & Computational Neuroscience

Autism biomarker Discovery

Electroencephalogram (EEG) functional Near Infrared Spectroscopy (fNIRS)

Brain Computer Interface (BCI).

Eye Tracking

Image Processing & Signal Processing

Machine Learning, Deep Learning & big data analytics

Computational Intelligence

Swarm and Cognitive Robotics and Autonomous Mission Planning and Management