Prof. Tammy Riklin Raviv
Prof. Tammy Riklin Raviv is a faculty member at the School of Electrical and Computer Engineering at Ben-Gurion University of the Negev, where she founded and leads the Biomedical Image Computing Lab.
Her research focuses on developing deep learning and computer vision methods for the analysis of medical, biological, and natural images, with emphasis on biomedical image computing, neuroimaging, microscopy image analysis, multimodal learning, explainable AI, domain adaptation, trustworthy AI, and reliable AI-based prediction.
She received her B.Sc. in Physics and M.Sc. in Computer Science from the Hebrew University of Jerusalem, and her Ph.D. in Electrical Engineering from Tel Aviv University. From 2008 to 2012, she was a postdoctoral associate and research fellow at CSAIL, MIT, Harvard Medical School, and the Broad Institute of MIT and Harvard. She is a recipient of the Fulbright and Ilan Ramon Foundation Postdoctoral Awards.
Prof. Riklin Raviv currently serves as an Associate Editor of the IEEE Transactions on Medical Imaging (TMI). She also regularly serves as an Area Chair at leading international conferences, including CVPR, ECCV, MICCAI, ISBI, and NeurIPS.
Medical Vision Group, CSAIL, MIT (with Prof. Polina Golland)
Departments of Psychiatry and Radiology, Harvard Medical School, Imaging Platform, The Broad Institute of MIT and Harvard
Prior based Image Segmentation (with Prof. Nahum Kiryati)
The School of Electrical Engineering, Tel-Aviv University
The Quotient Image: Class based Recognition and Synthesis Under Varying Illumination Conditions (with Prof. Amnon Shashuaity)
Computer Science, The Hebrew University of Jerusalem
Prof. Riklin Raviv’s research aims to advance AI methods for biomedical imaging and healthcare by combining deep learning, computer vision, and multimodal data analysis with an emphasis on explainable, trustworthy, and robust AI. Her work addresses both methodological challenges — including domain adaptation, uncertainty, reliability, and multimodal integration — and biomedical questions related to neuroimaging, microscopy, disease progression, and single-cell dynamics.
Beyond her research, Prof. Riklin Raviv contributes to the scientific community through editorial, reviewing, and conference-organization activities in medical imaging, biomedical image analysis, and computer vision.
At Ben-Gurion University, she also serves as the President’s Advisor for Gender Equity, working to promote inclusive academic excellence and to strengthen the participation, visibility, and leadership of women in science, engineering, and technology.
