Dr. Parham Arabi, will give a speech in SYMPOSIUM 2004 LEADERS OF TOMORROW at the Parliament this Teusday .

The program is organized by the Partnership Group for Science and Engineering and you can meet 15 of Canada’s top younger scientists and engineers at a Reception on Parliament Hill, organized by the Partnership Group for Science and Engineering (PAGSE). Three of them will explain briefly how their work is raising Canada’s research profile: all will be available to answer questions and share their insights on research priorities and needs.

Since June 2001 Parham Aarabi has been an Assistant Professor in the Electrical and Computer Engineering Department at the University of Toronto. He received his Ph.D. (Elec. Eng. - June 2001) from Stanford University and his M.A.Sc. (Elec. Eng. - June 1999) and B.A.Sc. (Eng. Sci. (EE option) - June 1998) from the University of Toronto.

In June 2001 he founded the Artificial Perception Lab where he currently manages a team of 35 graduate and undergraduate researchers. In the past few years, he has been the recipient of numerous research and teaching awards including the Canada Research Chair in Multi-Sensor Information Systems (national award - January 2002), the Ontario Distinguished Researcher Award (provincial award - March 2002), the Best Computer Engineering Professor Award (departmental award - November 2002), the Faculty of Engineering Early Career Teaching Award (faculty award - May 2003), the Electrical and Computer Engineering Professor of the Year Award (departmental award - November 2003), and the inaugural IEEE Mac Van Valkenburg Early Career Teaching Award (international award - October 2004).

Parham Aarabi's research focuses on developing novel multi-sensor methods to enable computers to 'understand' the events and objects in their environments. His research has resulted in a variety of algorithms, systems, and technologies, including distributed and dynamic sound localization, phase-based multi-microphone speech enhancement (on which he recently gave talks at Stanford and Berkeley), multi-camera object identification and image processing, as well as the development of "speech acceleration" co-processors that enable real-time robust speech localization, enhancement, and recognition for use in cars, TVs, and tablet/handheld/desktop computers.

His work has appeared in over 50 peer-reviewed publications (including articles in the June 2004 special issue of the Elsevier journal Information Fusion which he guest-edited) and a variety of international media, including the New York Times, MIT's Technology Review Magazine, Scientific American, Popular Mechanics, Space TV, Discovery Channel, City TV, and CBC Newsworld.
For more information about theSYMPOSIUM 2004 LEADERS OF TOMORROW click here

Bahram