We are pleased that Professor Eric Xing from CMU visited McGill and our lab.
Dr. Eric Xing is a Professor of Machine Learning in the School of Computer Science at Carnegie Mellon University, and Director of the CMU/UPMC Center for Machine Learning and Health. His principal research interests lie in the development of machine learning and statistical methodology, and large-scale computational system and architecture; especially for solving problems involving automated learning, reasoning, and decision-making in high-dimensional, multimodal, and dynamic possible worlds in artificial, biological, and social systems. Professor Xing received a Ph.D. in Molecular Biology from Rutgers University, and another Ph.D. in Computer Science from UC Berkeley. He servers (or served) as an associate editor of the Annals of Applied Statistics (AOAS), the Journal of American Statistical Association (JASA), the IEEE Transaction of Pattern Analysis and Machine Intelligence (PAMI), the PLoS Journal of Computational Biology, and an Action Editor of the Machine Learning Journal (MLJ), the Journal of Machine Learning Research (JMLR). He was a member of the DARPA Information Science and Technology (ISAT) Advisory Group, a recipient of the NSF Career Award, the Sloan Fellowship, the United States Air Force Young Investigator Award, and the IBM Open Collaborative Research Award. He served as the Program Chair of ICML 2014.
We are pleased that Dr. Pieter Johannes Mosterman from MathWorks visited our lab.
Pieter Johannes Mosterman is a Senior Research Scientist at MathWorks in Natick, Massachusetts. He also holds an Adjunct Professorship at the School of Computer Science at McGill University in Montreal, Canada. His primary research interests are in Computer Automated Multi-paradigm Modeling with principal applications in design automation, training systems, and fault detection, isolation, and reconfiguration.