Mark Crowley

Mark Crowley is an assistant professor in the Department of Electrical and Computer Engineering at the University of Waterloo, and a core member of the Waterloo Institute for Complexity and Innovation. He often works in collaboration with researchers in applied fields such as sustainable forest management, ecology, automotive technology, and medical imaging. In particular, he has worked on learning models of and optimizing policies for domains in invasive species control, forest harvest management, and forest fire management. These types of domains offer unique challenges for traditional artificial intelligence and machine learning algorithms for decision making, prediction, and anomaly detection, and his focus is on developing new algorithms within the fields of Reinforcement Learning, Deep Learning and Random Forests.