Members:


Michael L. Littman's research in machine learning examines algorithms for decision making under uncertainty. He has earned multiple awards for teaching and his research has been recognized with three best-paper awards and two influential paper awards. Littman has served on the editorial boards for the Journal of Machine Learning Research and the Journal of Artificial Intelligence Research. He was general chair of International Conference on Machine Learning 2013 and program chair of the Association for the Advancement of Artificial Intelligence (AAAI) Conference 2013. He is also a AAAI Fellow.

Blase Ur is a Ph.D. candidate at Carnegie Mellon University, researching usable security and privacy. In January 2017 he will be joining the University of Chicago as Neubauer Family Assistant Professor of Computer Science. His research encompasses helping users create strong passwords, supporting privacy decisions with data, and improving smart homes and the IoT. He has received the best paper award at UbiComp 2014 and honorable mentions at CHI 2012 and CHI 2016, as well as an NDSEG fellowship and a Fulbright scholarship.

Sarah Mennicken completed her Ph.D. on user experiences in smart homes at the University of Zurich in Switzerland in February 2016. In her work, she focused on understanding current challenges in smart home interactions by conducting interviews with involved stakeholders as well as creating prototypes to study their use "in the wild."