Researcher

Ehsan Adeli

Also known as Ehsan Adeli Mosabbeb

Ehsan Adeli is a computer scientist whose AI research connects computer vision with medicine and neuroscience. His training includes computer vision and medical imaging, and he coauthored research on distributed-camera activity recognition, Alzheimer’s diagnosis, and video-based Parkinson’s gait assessment. At Stanford, his work linked video and MRI analysis to neurodegenerative disease research and examined fatigue during cognitive training. As of October 2026, he is an assistant professor at Stanford and director of its Translational AI Lab, co-directs an NIH P30 research center, and chairs MICCAI 2026’s program committee.

Works
321

Publication numbers from OpenAlex, as of 22 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.

Timeline

  1. 2012–2017

    Graduate work and camera recognition

    His training includes a Ph.D. in artificial intelligence and computer vision; at Carnegie Mellon, he works as a graduate research scholar in computer vision in 2012. In 2013, under the name Ehsan Adeli Mosabbeb, he coauthors a paper on multi-view activity recognition across distributed camera networks. In 2017, he works as a postdoctoral research associate in machine learning and medical imaging at the University of North Carolina at Chapel Hill.

  2. 2018

    An end-to-end Alzheimer’s model

    In 2018, he coauthors an end-to-end deep-learning model for Alzheimer’s disease diagnosis and biomarker identification using 3D convolutional neural networks.

  3. 2018

    A MICCAI travel award

    He receives the MICCAI Young Investigator Travel Award in 2018.

  4. 2020

    Video estimates Parkinson’s gait

    In 2020, he coauthors a computer-vision model that extracts 3D body skeletons from video and classifies movement by MDS-UPDRS gait score to assess Parkinson’s disease severity.

  5. 2020–2021

    Clinical assistant professor at Stanford

    From 2020 to 2021, he is a clinical assistant professor in Stanford’s Department of Psychiatry and Behavioral Sciences, affiliated with its Computational Neuroscience Lab and Stanford Vision and Learning Lab. His project links video-based digital biomarkers of neurodegenerative disease to neural systems measured with MRI.

  6. 2024

    Monitoring fatigue during cognitive training

    In 2024, he coauthors a study that develops a Recurrent Video Transformer to monitor mental fatigue in older adults with mild cognitive impairment during computerized cognitive training. The model uses video-recorded facial gestures.

  7. As of October 2026

    Director of Stanford Translational AI

    As of October 2026, he is an assistant professor of psychiatry and behavioral sciences at Stanford, with courtesy appointments in computer science and biomedical data science. He directs the Stanford Translational AI Lab and is principal investigator and co-director of the NIH P30 Stanford University AI & Technology Collaboratory. He serves as a program chair for MICCAI 2026.

Career

  1. Since 2020Stanford UniversityClinical Assistant Professor
  2. From 2017University of North Carolina at Chapel HillPostdoctoral Research Associate
  3. From 2012Carnegie Mellon UniversityGraduate Research Scholar

Sources and credits

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  1. Ehsan Adeli | Computer Science cs.stanford.edu. Checked 21 October 2026.
  2. Multi-View Human Activity Recognition in Distributed Camera Sensor Networks pmc.ncbi.nlm.nih.gov. Checked 21 October 2026.
  3. End-To-End Alzheimer’s Disease Diagnosis and Biomarker Identification arxiv.org. Checked 21 October 2026.
  4. Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity arxiv.org. Checked 21 October 2026.
  5. Research Education Component | Stanford Alzheimer’s Disease Research Center med.stanford.edu. Checked 21 October 2026.
  6. Vision-based Estimation of Fatigue and Engagement in Cognitive Training Sessions pmc.ncbi.nlm.nih.gov. Checked 21 October 2026.
  7. Ehsan Adeli | Stanford University stanford.edu. Checked 21 October 2026.
  8. Call for Reviewers for MICCAI 2026 miccai.org. Checked 21 October 2026.