Ehsan Adeli

With a Ph.D. in artificial intelligence and computer vision and postgraduate training in biomedical imaging & computational neuroscience, I solve critical problems in healthcare and neuroscience.My research group focuses on developing Translational Artificial Intelligence (AI) algorithms in medicine and mental health. My work involves the automatic analysis of human activities and behaviors from videos, connecting how humans perform actions to the brain by analyzing magnetic resonance images (MRIs). By exploring explainable machine learning algorithms, I aim to uncover the underlying factors of neurodegenerative and neuropsychiatric diseases and their impact on everyday life.My research concentrates on and connects two main areas: digital humans and human neuroscience. I analyze 3D motion, actions, and behaviors using various human sensing technologies, such as video and sensory data. Additionally, I employ clinical and cognitive tests, as well as neuroimaging modalities like MRIs, to explore brain function and neural processes. Integrating these technologies to enhance clinical applications and provide deeper insights into the complexities of human behavior and brain function, my group develops world models for neuroscience.

Honors & Awards

• 2023 Chairman’s Award for Educational Excellence, Stanford School of Medicine, Department of Psychiatry and Behavioral Sciences (2023)
• Jaswa Innovator Award, Stanford School of Medicine (2022-2024)
• Faculty Professional & Leadership Award, Department of Psychiatry and Behavioral Sciences, Stanford School of Medicine (2022)
• Senior Member, IEEE (2021-Now)
• REC Fellow, Stanford University Alzheimer's Disease Research Center (ADRC) (2020-2022)
• Innovator Award 2021, Stanford University School of Medicine Department of Psychiatry & Behavioral Sciences (2020-2021)
• Young Investigator Travel Award, Medical Image Computing and Computer Assisted Interventions (MICCAI) (2018)
• NIH F32 Fellowship Award, NIAAA (2018-2019)