About
Prof. Dan Raviv is a faculty member at The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University, within the School of Electrical Engineering. With a strong background in computer science, mathematics, and geometric machine learning, he leads research at the intersection of data-driven and model-driven methodologies.
- Postdoctoral Research: Massachusetts Institute of Technology (MIT)
- Doctorate, Master's, and Bachelor's: Technion, Israel Institute of Technology
His research focuses on machine learning with geometric foundations, particularly addressing structured data in computer vision, medical imaging, and robotics. Key contributions include developing affine/scale-invariant metrics and locally rigid averaging techniques for non-rigid observations.
Recent publications highlight his work in geometric data analysis and non-rigid shape processing, applying illumination invariants in video gesture recognition and advancing metrics for volumetric datasets. These reflect his commitment to overcoming machine learning limitations through structural exploitation.
