Prof. Dan Feldman is a faculty member and the head of the new Robotics & Big Data Labs in the University of Haifa, after returning from a 3 years post-doc at the robotics lab of MIT.
During his PhD at the Tel Aviv University he developed data reduction techniques known as core-sets, based on computational geometry. Since his post-docs at Caltech and MIT, Prof. Feldman’s core-sets are applied for main problems in machine learning, Big Data, computer vision and robotics.
His group in Haifa continues to design and implement core-sets with provable guarantees for such problems.