Biography

Siamak Yousefi is an Assistant 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 working on broad applications of Artificial Intelligence (AI) in vision and ophthalmology particularly on glaucoma diagnosis, prognosis, and monitoring.

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Research Interest

Healthcare and research enterprises are producing increasingly large amounts of high-dimensional data. As these large and complex datasets are becoming increasingly available to the research community, advanced data mining and machine learning techniques are required to make sense of data and extract knowledge. In this talk, I will discuss the role of artificial intelligence, particularly machine learning approaches, in vision and ophthalmology for screening, diagnosis, prognosis, and monitoring eye disorders.