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Ehsan Adeli
Assistant Professor (Research), Psychiatry and Behavioral Sciences
Faculty Affiliate, Institute for Human-Centered Artificial Intelligence (HAI)
Member, Wu Tsai Human Performance Alliance
Member, Wu Tsai Neurosciences Institute
Postdoctoral Research Associate, University of North Carolina at Chapel Hill, Machine Learning and Medical Imaging (2017)
Graduate Research Scholar, Carnegie Mellon University, Computer Vision (2012)
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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.
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.