Faculty Highlights 2016 Assistant Professor 2015/2016 Faculty Department of Computer Science Department of Mathematics Appointments Ben Rossman – PhD, Massachusetts Institute of Assistant Professor Technology Department of Computer & – Postdoc, Tokyo Institute of Technology Mathematical Sciences U of T Scarborough Ashton Anderson – PhD, Stanford University – Currently at: Microsoft Research (New York City), Postdoc Starting Summer 2017
Assistant Professor Department of Computer Science Aleksandar Nikolov Assistant Professor, Assistant Professor, – PhD, Rutgers Teaching Stream Teaching Stream – Postdoc, Microsoft Research Department of Computer Department of Computer (Richmond, WA) Science Science David Liu, MSc Jacqueline Smith, MSc University of Toronto University of Alberta
Triple threat: Raquel Urtasun combines machine learning, robotics and computer vision
A faculty member since 2014, Associate Professor Raquel Urtasun is unifying her interests in artificial intelligence: from paving the way to autonomous vehicles, to overhauling our wardrobes with algorithmic fashion advice. Read more: uoft.me/Raquel-Urtasun
Oscar-winning animator and filmmaker Chris Landreth at U of T computer science
What if a character could be animated for film with only the sound of an actor’s voice? The development of predictive animation software is the latest passion project for the Academy Award® winning animator and filmmaker, Chris Landreth. Read more: uoft.me/Chris-Landreth
Arvind Gupta appointed distinguished visiting professor
Arvind Gupta, former president of the University of British Columbia and a graduate of U of T computer science, was appointed distinguished visiting professor to the department. Read more: uoft.me/Arvind-Gupta – PhD, Massachusetts Institute of – PhD, University of Cambridge – PhD, University of Ljubljana Technology – Postdoc, Harvard University – Postdoc, University of Toronto – Postdoc, University of Toronto
MACHINE LEARNING: Deep learning COMPUTATIONAL VISION AND MACHINE MACHINE LEARNING: Accurate statistical techniques for inferring probabilistic LEARNING: Object recognition, 3D scene computation and novel ideas for Faculty Appointments models from large data sets understanding; combining vision and automated discovery of appropriate language structures for statistical modeling [email protected] 2016/2017 www.cs.toronto.edu/~duvenaud [email protected] [email protected] DAVID DUVENAUD SANJA FIDLER www.cs.utoronto.ca/~ dler/ ROGER GROSSE www.cs.toronto.edu/~rgrosse Assistant Professor, Department of Computer Science Assistant Professor, Department of Mathematical & Assistant Professor Department of Statistical Sciences Computational Sciences, U of T Mississauga Department of Computer Science
– PhD, University of British Columbia – PhD, ETH Zurich – Postdoc, Massachusetts Institute – PhD, Carnegie Mellon University – Postdoc, Columbia University of Technology – Currently at: Microsoft Research – Research Scientist, Disney Research COMPUTER GRAPHICS: Real-time COMPUTER SYSTEMS AND deformation techniques for 2D and 3D COMPUTER GRAPHICS: Using new BIOINFORMATICS: Ef cient memory shapes and user interfaces simulation techniques to allow artists, hierarchy designs with data engineers and scientists to study and compression, compilers, GPUs [email protected] create – from animations to machines www.cs.toronto.edu/~jacobson [email protected] [email protected] Starting Summer 2017 ALEC JACOBSON DAVID LEVIN www.cs.toronto.edu/~diwlevin GENNADY PEKHIMENKO Assistant Professor Assistant Professor Assistant Professor, Department of Computer & Department of Computer Science Department of Computer Science Mathematical Sciences, U of T Scarborough
– PhD, Carnegie Mellon University – PhD, Princeton University – Currently at: Harvard University, – Postdoc, Yale University Postdoc – Currently at: Google Research ALGORITHMIC ECONOMICS: “These researchers bring THEORETICAL COMPUTER SCIENCE: Computational social choice, fair Algorithms and their connections to division, game theory (both cooperative a breadth of experience and new optimization, machine learning, and and noncooperative), and prediction statistics; design of fast algorithms for markets ideas and are representative of the graph problems [email protected] next wave of trailblazing research and SUSHANT SACHDEVA [email protected] NISARG SHAH Starting Summer 2017 Assistant Professor, Department of Mathematical & Starting Summer 2017 Assistant Professor teaching at U of T.” Computational Sciences, U of T Mississauga Department of Computer Science – Ravin Balakrishnan, Professor & Chair Honours & Awards
July 1, 2015 to June 30, 2016 July 1, 2014 to June 30, 2015
International International
BBVA Foundation Frontiers of Knowledge Award: Association for Computing Machinery (ACM): Fellow Information and Communication Technologies Allan Borodin Stephen A. Cook Faith Ellen
IEEE/RSE James Clerk Maxwell Medal Google Faculty Researcher Award Geoffrey Hinton Raquel Urtasun
National Academy of Engineering (NAE): Member IEEE Frank Rosenblatt Award Geoffrey Hinton Geoffrey Hinton
National Sloan Research Fellowship Daniel Wigdor Canada Research Chairs (CRC) Aleksandar Nikolov, CRC in Algorithms and Private National Data Analysis Raquel Urtasun, CRC in Machine Learning and Canadian Association of Computer Science / Computer Vision Association d’Informatique Canadienne (CACS/AIC): Lifetime Achievement Award Canadian Association of Computer Science / Ronald Baecker Association d’Informatique Canadienne (CACS/AIC): Allan Borodin Lifetime Achievement Award C.C. (Kelly) Gotlieb Stephen A. Cook Beatrice Helen Worsley (1921-1972) Derek Corneil Tom Hull (1922-1996) Royal Society of Canada (RSC): Fellow Craig Boutilier Order of Canada: Officer Eugene Fiume Stephen A. Cook Regional: Provincial & City-wide Speech-Language and Audiology Canada: Excellence in Applied Research Award (The Motor Speech Ministry of Research, Innovation and Science: Research Study) Early Researcher Award Dr. Frank Rudzicz Raquel Urtasun
University of Toronto University of Toronto
Faculty of Arts & Science: Dean’s Outstanding U of T Inventor of the Year Award Teaching Award James McCrae (PhD) and Karan Singh Steve Engels President’s Teaching Award U of T Invention of the Year Diane Horton Varun Perumal Chadalavada (PhD) and Daniel Wigdor Andrew Peterson (U of T Mississauga)