Prof. Tammy Riklin Raviv
Prof. Tammy Riklin Raviv is a faculty member at the School of Electrical Engineering and Computer Science. She holds a Ph.D. in Electrical Engineering and has extensive academic experience in both teaching and research. Her primary areas of expertise include signal processing, machine learning, and embedded systems, with a particular focus on the development of innovative algorithms for real-time applications.
Over the years, Prof. Tammy Riklin Raviv has led several multidisciplinary research projects funded by national and international agencies. Her work often bridges theory and practice, addressing real-world challenges in fields such as biomedical engineering, autonomous systems, and cybersecurity. She regularly presents at international conferences and serves on editorial boards of leading engineering journals.
Prof. Tammy Riklin Raviv is also the founder and director of Biomedical Image Computing Lab, a state-of-the-art research facility dedicated to exploring the intersection of artificial intelligence and embedded technologies. The lab hosts a diverse team of graduate students, postdoctoral researchers, and engineers, and is equipped with advanced hardware and software tools for developing and testing real-time systems. Through the lab, Prof. Tammy Riklin Raviv fosters interdisciplinary collaboration and frequently partners with industry.
Her research interests: Biomedical Imaging Analysis; Computer Vision; Deep Learning
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
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