our expert

Ravin Balakrishnan

Expert

Ravin Balakrishnan is a Professor at the Department of Computer Science, University of Toronto where he co-directs the Dynamic Graphics Project (DGP) laboratory and is currently serving as the department’s chair. His research interests are in Human-Computer Interaction (HCI), Information and Communications Technology for Development, and Interactive Computer Graphics. He earned his Ph.D. in Computer Science from the University of Toronto, working with Bill Buxton, while concurrently a part-time researcher at Alias|wavefront (now part of Autodesk). He was elected to the ACM CHI Academy in 2011, is the recipient of an Alfred P. Sloan Research Fellowship (2007), an Ontario Premier's Research Excellence Award (2003), the Bell University Laboratories Associate Chair in HCI at the University of Toronto (2002-2006), a Canada Research Chair (2006-2016) and multiple best paper type awards at the top conferences in his field (ACM CHI, CSCW, UIST).

In addition to working with students and colleagues at Toronto, he collaborates with researchers at leading industrial laboratories and universities worldwide, including stints as a visiting researcher at Mitsubishi Electric Research Laboratories (MERL) (2005-2007), a visiting professor at the University of Paris & INRIA (2006), and a visiting researcher at Microsoft Research's Redmond, Beijing, Bangalore and Cambridge labs while on sabbatical from the University of Toronto during the 2007-2008 academic year. He was a co-founder of Bump Technologies Inc., which was acquired by Google in 2010, and is involved in two other startups that are commercializing research conducted in his lab: Arcestra & Conceptualiz. He has also consulted for various leading companies as an expert witness in patent infringement matters in multiple countries.

Further information, including publications and videos demonstrating some of his research, can be obtained from www.dgp.toronto.edu/~ravin

Publications


Elasticurves: Exploiting Stroke Dynamics and Inertia for the Real-time Neatening of Sketched 2D Curves

Verifying Human Users in Speech-Based Interactions

Direct Pen Interaction With a Conventional Graphical User Interface