The David R. Cheriton Faculty Fellowships are a prestigious recognition. The awards support the work of leading faculty in computer science with an emphasis on supporting research that addresses problems associated with designing and implementing efficient and reliable computing systems, along with their effective integration.
These fellowships help the University of Waterloo and the David R. Cheriton School of Computer Science continue their innovations in information technology teaching and research.
Current Cheriton Faculty Fellows
Jesse Hoey is a Professor at the Cheriton School of Computer Science, where he leads CHIL — the Computational Health Informatics Laboratory. He is a Faculty Affiliate at the Vector Institute and an affiliate scientist at the Toronto Rehabilitation Institute.
Dr. Hoey holds a PhD in computer science from the University of British Columbia and has published over one hundred peer-reviewed papers.
His primary research interest is to understand the nature of human emotional intelligence by attempting to build computational models of some of its core functions, and to apply them in domains with social and economic impact. He is an associate editor for the IEEE Transactions on Affective Computing and an Area Chair for the International Joint Conferences on Artificial Intelligence (IJCAI 2021).
M. Tamer Özsu
M. Tamer Özsu is a University Professor at the Cheriton School of Computer Science. Previously, he was the Director of the Cheriton School of Computer Science and the Associate Dean (Research) of the Faculty of Mathematics. His research is on distributed data management and the management of non-conventional data. He is a Fellow of the Royal Society of Canada, American Association for the Advancement of Science, Association for Computing Machinery and Institute of Electrical and Electronics Engineers, an elected member of Science Academy, Turkey and a member of Sigma Xi. He is the Founding Editor-in-Chief of ACM Books (2014–20) and Synthesis Lectures on Data Management (2009–14). University Professor Özsu is the recipient of the ACM SIGMOD Test-of-Time Award, the ACM SIGMOD Contributions Award, and The Ohio State University College of Engineering Distinguished Alumnus Award.
Christopher Batty is an Associate Professor in the Cheriton School of Computer Science. Professor Batty received his PhD from the University of British Columbia in 2010 and was a Banting Postdoctoral Fellow at Columbia University from 2011 to 2013. He has also spent time with two leading visual effects studios: Frantic Films (Canada) and Weta Digital (New Zealand).
Professor Batty’s research focuses on physical simulation techniques for applications in computer graphics and computational physics. A major thrust of his work considers the development of efficient numerical and geometric methods to represent and animate the diverse behaviors of liquids, including viscous and non-Newtonian flows, interactions between fluids and solids (hair, cloth, rigid bodies, etc.), surface tension effects, bubbles and foams, and more.
Elements of his research have been incorporated into commercial software for the visual effects industry, including Side Effects Software’s Houdini and Autodesk’s Maya/Bifrost, and used in numerous blockbuster movies.
Yaoliang Yu is an Assistant Professor in the Cheriton School of Computer Science, a member of the AI group and the Waterloo AI Institute, and a Canada CIFAR AI chair at the Vector Institute. He obtained his PhD from the computing science department at University of Alberta, winning an Outstanding Thesis Award, and a PhD Dissertation Award from the Canadian Artificial Intelligence Association. He spent two postdoctoral years at Carnegie Mellon University before joining University of Waterloo. He has served in the program committee of major AI/ML conferences and received best reviewer awards from NeurIPS and ICML.
His main research area is in machine learning and optimization. Topics closest to his heart include (a) design and analysis of efficient, scalable and distributed gradient-type algorithms for convex and nonconvex optimization; (b) understanding the robustness of machine learning models under random and adversarial perturbations; (c) analysis and application of kernel methods; and lately (d) deep generative models where he is fascinated by a multitude of ways to push probability densities back and forth, using ideas from probability theory, convex analysis, and deep learning. Constantly pushed by his students, he has always enjoyed learning more about vision and natural language challenges.
Lap Chi Lau
Lap Chi Lau is an Associate Professor in the Cheriton School of Computer Science and a member of the Algorithms and Complexity group. Before joining University of Waterloo, he was a faculty member at The Chinese University of Hong Kong for seven years. He has a PhD and MSc in Computer Science from University of Toronto, and a BSc in Computer Science from The Chinese University of Hong Kong.
Lap Chi’s research interests are in design and analysis of algorithms, including algorithmic graph theory, approximation algorithms and combinatorial optimization. He is interested in studying different approaches to solve graph problems and seeing new connections between them. He has designed good approximation algorithms and fast exact algorithms for graph problems, using ideas from linear algebra, probability and optimization. Recently, he is interested in using ideas from spectral graph theory and convex optimization to design and analyze algorithms for combinatorial problems.
Daniel Vogel is an Associate Professor in the Cheriton School of Computer Science. He has published more than 60 papers in the area of Human Computer Interaction, focusing on fundamental characteristics of human input and novel forms of interaction for current and future computing form factors like touch, tangibles, large displays, mid-air gestures, and whole-body input.
In addition to a PhD and MSc from the University of Toronto, he holds a BFA from the Emily Carr University of Art + Design, and he leverages his combined art and science background in his research. For example, he was awarded a major grant to build a $1.8 million lab to explore the intersection of HCI and Fine Art in spatial augmented reality.
Daniel’s 2004 paper on interactive ambient displays is one of the ten most cited papers in the history of the ACM UIST conference, and he has received multiple honours including multiple best paper awards at ACM CHI; the Bill Buxton Dissertation Award (2010); a Banting Postdoctoral Fellowship (2011–13), an Ontario Early Researcher Award (2017); the Faculty of Mathematics Golden Jubilee Research Excellence Award (2018), and the CS-Can/Info-Can Outstanding Young Computer Science Researcher Award (2018).
Previous Cheriton Faculty Fellows
|Cheriton Faculty Fellows||Year|
|Edward Lank, M. Tamer Özsu||2018–21|
|Urs Hengartner, Bernard Wong||2017–20|
|Tim Brecht, Charles Clarke||2016–19|
|Dan Brown, Pascal Poupart||2015–18|
|Michael Godfrey, Jesse Hoey||2014–17|
|Ihab Ilyas, M. Tamer Öszu||2013–16|
|Raouf Boutaba, Kate Larson||2012–15|
|Gladimir Baranoski, Peter Forsyth||2011–14|
|Robin Cohen, Alejandro López-Ortiz||2010–13|
|Ken Salem, John Watrous||2009–12|
|Charles Clarke, Yuying Li||2008–11|
|Raouf Boutaba, Frank Tompa||2007–10|