Hassan Ashtiani

Hassan Ashtiani is an Associate Professor in the Department of Computing and Software at McMaster University, and a faculty affiliate at the Vector institute. He joined McMaster University in 2018 after obtaining his Ph.D. in Computer Science at University of Waterloo in the same year. Before that, he received his master's degree in AI and Robotics and his bachelor's degree in computer engineering, both from University of Tehran. A mojor theme in his research is the design and analysis of sample-efficient learning algorithms that are robust to (i) privacy-related attacks, (ii) data poisoning or test-time adversarial attacks, (iii) distribution/domain shift, (iv) and model misspecification. He is one of the recipients of NeurIPS best paper award in 2018 for introduction of distribution compression schemes for learning Gaussian mixtures.