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2016-11-23T00:00:00.000Z

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Wrong Parham Aarabi?

Dr. Parham Aarabi

Direct Phone: (416) ***-****       

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University of Toronto

35 St. George Street

Toronto, Ontario M5S 1A4

Canada

Company Description

The University of Toronto provides accommodation for students with documented disabilities as established by the Ontario Human Rights Code (OHRC), the Accessibility for Ontarians with Disabilities Act (AODA), and the University of Toronto's Statement of C ... more

Find other employees at this company (46,627)

Background Information

Employment History

Founder and Chief Executive Officer

ModiFace Inc

Affiliations

Advisory Board Member
FrequencyWare Inc

Founder
Artificial Perception Laboratory

Education

B.A.Sc.

Engineering Science

University of Toronto

Ph.D.

Stanford

doctoral degree

Stanford University

Web References (180 Total References)


Computer Engineering Group Faculty

www.eecg.utoronto.ca [cached]

Parham Aarabi, Associate Professor


About ModiFace - The Virtual Makeover, Skin-Care/Anti-Aging Visualization, and Hair Simulation Technology Company

www.modiface.com [cached]

Dr. Parham Aarabi Founder & CEO


Faculty Members

www.comm.utoronto.ca [cached]

Parham Aarabi, Associate Professor (Ph.D., Stanford)


Professor Parham Aarabi ...

www.engineering.utoronto.ca [cached]

Professor Parham Aarabi (ECE). A new algorithm designed at the University of Toronto has the power to profoundly change the way we find photos among the billions on social media sites such as Facebook and Flickr. This month, the United States Patent and Trademark Office will issue a patent on this technology.

Developed by Parham Aarabi, a professor in The Edward S. Rogers Sr. Department of Electrical & Computer Engineering, and his former Master's student Ron Appel (ECE MASc 0T8), the search tool uses tag locations to quantify relationships between individuals, even those not tagged in any given photo.
...
"Two things are happening: we understand relationships, and we can search images better," says Professor Aarabi.
...
It's based on the number of photos you have," says Aarabi. "Facebook has almost half a trillion photos, but a billion users-it's almost a 500 order of magnitude difference. Our algorithm is simply based on the number of tags, not on the number of photos, which makes it more efficient to search than standard approaches."
Work on this project began in 2005 in Professor Aarabi's Mobile Applications Lab, Canada's first lab space for mobile application development.
Currently the algorithm's interface is primarily for research, but Aarabi aims to see it incorporated on the back-end of large image databases or social networks. "I envision the interface would be exactly like you use Facebook search-for users, nothing would change. They would just get better results," says Aarabi.
While testing the algorithm, Aarabi and Appel discovered an unforeseen application: a new way to generate maps.
...
"The result we got was of almost a pseudo-map of the campus from all these photos we had taken, which was very interesting," says Aarabi.


APL People

www.apl.utoronto.ca [cached]

Prof. Parham Aarabi

...
Prof. Parham Aarabi is a Canada Research Chair in Multi-Sensor Information Systems, a tenured Associate Professor in The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, and the founder and director of the Artificial Perception Laboratory. He received his Ph.D. (2001) in Electrical Engineering from Stanford University, M.A.Sc. (1999) in Computer Engineering from the University of Toronto, and B.A.Sc. (1998) in Engineering Science (Electrical Option) from the University of Toronto. His recent awards include the 2002, 2003, and 2004 Professor of the Year Awards, the 2003 Faculty of Engineering Early Career Teaching Award, the 2004 IEEE Mac Van Valkenburg Early Career Teaching Award, the 2005 Gordon Slemon Award, the 2005 TVO Best Lecturer (Top 30) selection, the Premier's Research Excellence Award, as well as MIT Technology Review's 2005 TR35 "World's Top Young Innovator" Award. His current research, which includes multi-sensor information fusion, human-computer interactions, and hardware implementation of sensor fusion algorithms, has appeared in over 50 peer-reviewed publications and covered by media such as the New York Times, MIT's Technology Review Magazine, Scientific American, Popular Mechanics, the Discovery Channel, CBC Newsworld, Tech TV, Space TV, and City TV.

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