Azadeh Kushki, PhD
Visit the Autism Research Centre
Dr. Kushki's research focuses on development of novel pattern recognition and machine learning techniques for analysis of biological and behavioural data in autism spectrum disorder (ASD) and related neurodevelopmental conditions. The goal of this research is to improve our understanding of the neurobiological correlates ASD, and better characterize the variability in the spectrum.
Dr. Kushki also designs technologies that improve the quality of life and care for children with autism spectrum disorders (ASD), respect the uniqueness of children with ASD, and make evidence-based treatments accessible to a larger and more diverse population.
Click to see Dr. Azadeh Kushki's publications on Google Scholar.
Click to see Dr. Azadeh Kushki's publications on PubMed.
Education & Profession
- Ph.D. Electrical and Computer Engineering, University of Toronto
- M.A.Sc. Electrical and Computer Engineering, University of Toronto
- B.A.Sc. Computer Engineering, University of Toronto
- Postdoctoral Fellowships: 1) Autism Research Centre, Bloorview Research Institute 2) PRISM Lab, Bloorview Research Institute 3) Cognitive Systems Laboratory, McMaster University
University Positions / Affiliations:
Associate Professor, Institute of Biomaterial and Biomedical Engineering, University of Toronto (July 2020)
- KneuroKnits: Evaluating social participation and anxiety response associated with participation in a knitting group for youth with neurological conditions (pilot study)
- The Role of Emotion Regulation and Arousal in Anxiety and Autism (Typically Developing)
- The Role of Emotion Regulation and Arousal in Anxiety and Autism (ASD)
- Infant Sibling Study: Attention and Emotional Regulation in Typical Development and Autism Spectrum Disorder
- Physiological Responses in Children with ASD
Studying Technology Use in Children
Bloorview Research Institute
Holland Bloorview Kids Rehabilitation Hospital
150 Kilgour Road Toronto, Ontario M4G 1R8
Tel: 416-425-6220, extension 3563
autism spectrum disorder - technological innovations, machine learning