Siamak Yousefi is Associate Professor at the Department of Ophthalmology and the Department of Genetics, Genomics, and Informatics of the University of Tennessee Health Science Center (UTHSC) in Memphis. He received his PhD in Electrical Engineering from the University of Texas at Dallas in 2012 and completed two postdoctoral trainings at the University of California Los Angeles (UCLA) working on Brain Computer Interface (BCI) and University of California San Diego (UCSD) working on computational ophthalmology. He is the director of the Data Mining and Machine Learning (DM2L) laboratory at UTHSC. He has published over 80 peer-reviewed articles, mostly in broad applications of Artificial Intelligence (AI) in eye and vision. He has been an invited guest speaker, moderator, and co-organizer of numerous ophthalmology venues including Association for Research in Vision and Ophthalmology (ARVO). He has been on numerous study sections of the National Institute of Health (NIH) and is on the editorial board of the Translational Vision Science and Technology (TVST) journal. Since 2018, he has received over $3.5M funding support from NIH and other foundations to address vision-related challenges based on AI. His lab develops deep learning, manifold learning, conventional machine learning, unsupervised machine learning, and statistical approaches to address different ocular conditions.
