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Ph.D., Indian Institute of Technology Kanpur (IITK)

Master of Arts (M.A.), Aligarh Muslim University

Bachelor of Arts (Honours) (B.A. Hons.), Aligarh Muslim University

Dr. Umer Jon Ganai

Assistant Professor

Email umer.ganai@jgu.edu.in
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ORCID ID 0000-0001-7210-443X
Key Expertise Developmental Cognitive Neuroscience, Neuroimaging, Brain Development, Computational Genomics, Machine Learning, Graph and Network Theory, Artificial Intelligence, Computer Vision, Motor Behavior, Clinical Psychology, Psychopathology, Child and Adolescent Psychiatry

Ph.D., Indian Institute of Technology Kanpur (IITK)

Master of Arts (M.A.), Aligarh Muslim University

Bachelor of Arts (Honours) (B.A. Hons.), Aligarh Muslim University

Biography

Dr. Umer Jon Ganai holds a Ph.D. in Psychology from the Indian Institute of Technology Kanpur (IITK). His research is interdisciplinary and translational, spanning the fields of psychology, neuroscience, and artificial intelligence (AI).

During his Ph.D., Dr. Ganai developed a non-intrusive, computer vision (CV) based technique for the measurement of motor behavior and gait, and created an automated, machine learning based system for the early detection and diagnosis of autism spectrum disorder (ASD).

Dr. Ganai was awarded the prestigious Mitacs Globalink Research Fellowship, funded by provincial and federal Canadian governments, to conduct research at the Department of Psychology, Neuroscience, and Behaviour, McMaster University. His work there focused on intracortical myelination in bipolar disorder, and the application of artificial intelligence to enhance statistical power in clinical neuroimaging.

Dr. Ganai’s broader research interests include developmental cognitive neuroscience, neuroimaging, computational genomics, psychopathology, machine learning (ML) and artificial intelligence (AI). Dr. Ganai’s research contributes to the emerging prediction paradigm in psychology and cognitive science, providing a complementary perspective to traditional explanatory frameworks. His work has appeared in several high-impact journals published by the British Psychological Society (BPS), American Psychological Association (APA), Nature Portfolio, and The Computer Vision Foundation (CVF). 

Development Across the Lifespan

Mitacs Globalink Research Fellowship (2023)

AMU Financial Scholarship Award (2015-2017)

Visiting Fellowship, Department of Psychology, Neuroscience, and Behaviour, McMaster University, Canada (2023)

Ad-Hoc Reviewer: Scientific Reports

Ad-Hoc Reviewer: PloS ONE

Ad-Hoc Reviewer: Psychological Medicine

Ad-Hoc Reviewer: Psychological Trauma: Theory, Practice, Research, Practice and Policy

Ad-Hoc Reviewer: Indian Journal of Psychological Medicine

Ad-Hoc Reviewer: BMC Psychology

Ad-Hoc Reviewer: Discover Psychology

American Psychological Association

Indian School Psychology Association (InSPA)

Ganai, U. J., Ratne. A., Bhushan, B., & Venkatesh, K. S. (2025). Early detection of autism spectrum disorder: Gait deviations and machine learning. Scientific Reports 15(1), 873. (https://doi.org/10.1038/s41598-025-85348-w. (Nature Portfolio). Impact Factor: 3.8.

Ganai, U. J. & Bhushan, B. (2025). Neurocognitive and structural brain changes across ADHD subtypes in preadolescents. Mind, Brain, and Consciousness Conference (MBCC), Indian Institute of Technology Mandi.

Ganai, U. J., Bhushan, B., & Venkatesh, K. S. (2024). Broad autism phenotype and gait in parents of children with and without autism spectrum disorder. Annals of Neurosciences, SAGE. 31(2), 1-12. doi:10.1177/09727531241249533. (Official Journal of the Indian Academy of Neurosciences). Impact Factor: 1.8.

Ganai, U. J., Sachdev, S., & Bhushan, B. (2024). Predictive modelling of stress, anxiety and depression: A network analysis and machine learning study. British Journal of Clinical Psychology, Wiley. https://doi.org/10.1111/bjc.12487. (Official Journal of the British Psychological Society). Impact Factor 3.8.

Singh, P., Pathak, A., Ganai, U. J., Bhushan, B., and Venkatesh, K. S. (2024). Video based computational coding of movement anomalies in ASD children. IEEE/CVF Computer Vision and Pattern Recognition Workshops (CVPRW), Seattle, WA, USA, 2024, pp. 400-409. https://ieeexplore.ieee.org/document/10678315 (The Computer Vision Foundation). Impact Score: 63.10.

Ganai, U. J. & Bhushan, B. (2024). Gait patterns as biomarkers for early ASD detection using computer vision, and machine learning. UK-LMIC Research Network for Autism Spectrum Disorder (ULMiRN-ASD) 2024, organized by Ulster University, UK, & Indian Institute of Technology Kanpur.

Ganai, U. J., Sachdev, S., Bhat, N. A., & Bhushan, B. (2023). Depression, and anxiety during the Pandemic: A network analysis and machine learning study. 32nd Convention of National Academy of Psychology 2023 (NAOP), Ahmadabad University, Gujrat.

Ganai, U. J., Sachdev, S., Bhat, N. A., & Bhushan, B. (2022). Associations between posttraumatic stress symptoms and posttraumatic growth elements: A network analysis. Psychological Trauma: Theory, Research, Practice, and Policy. https://doi.org/10.1037/tra0001411. (Official Journal of the American Psychological Association). Impact Factor: 3.39.

Ganai, U. J., Sachdev, S., & Bhushan, B. (2022). A network analysis of the associations between posttraumatic stress symptoms and posttraumatic growth. 31st Convention of National Academy of Psychology 2022 (NAOP), IIT Bombay.

Bhushan, B., Basu, S., & Ganai, U. J. (2022). Post-traumatic stress and growth among the children and adolescents in the aftermath of COVID-19. Frontiers in Psychology, 12, 791263. https://doi.org/10.3389/fpsyg.2021.791263. Impact Factor:2.6.

Ganai, U. J., & Bhushan, B. (2021). Allan V. Horwitz: PTSD- A short History, Johns Hopkins University Press, Baltimore, 2018, Xviii+238 pp. Psychological Studies, Springer. https://doi.org/10.1007/s12646-021-00603-0 (Official Journal of the National Academy of Psychology India). Impact Factor: 1.4. In Peer-Reviewed Conference Proceedings
Email umer.ganai@jgu.edu.in
ORCID ID 0000-0001-7210-443X
Key Expertise Developmental Cognitive Neuroscience, Neuroimaging, Brain Development, Computational Genomics, Machine Learning, Graph and Network Theory, Artificial Intelligence, Computer Vision, Motor Behavior, Clinical Psychology, Psychopathology, Child and Adolescent Psychiatry