Dan Feldman is a faculty member and the head of the new Robotics & Big Data Labs at the University of Haifa, after returning from a three-year postdoc in the robotics lab at MIT. While pursuing a PhD at the University of Tel-Aviv, he developed data reduction techniques known as core-sets, based on computational geometry. Since his postdocs at Caltech and MIT, Dan's coresets have been applied to key 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.
- Real-Time Decision Making, Spring 2018. Visiting Scientist.