Lev Kirischian
Associate Professor
Faculty of Engineering and Architectural Science
Department of Electrical, Computer, and Biomedical Engineering
Toronto, Ontario
lkirisch@ee.torontomu.ca
Office:
(416) 979-5000 ext. 556076
Expert In
Automated architectural synthesis
Data-flow parallel computers
Field programmable gate arrays (FPGAs)
FPGA-based stream processors
SoPC architecture and mechanisms
System on programmable chip (SoPC)
Task-adaptive reconfigurable computing systems
Technology and intelligent systems
Theme: Transformative technology
Bio/Research
If you open your wallet to find a $5 note, on one side you’ll see Sir Wilfred Laurier, and on the other, a depiction of Canadarm2 and Dextre, robot systems designed to carry out installations and repairs in the International Space Station (ISS). You might be surprised to learn that there’s a Ryer...
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Bio/Research
If you open your wallet to find a $5 note, on one side you’ll see Sir Wilfred Laurier, and on the other, a depiction of Canadarm2 and Dextre, robot systems designed to carry out installations and repairs in the International Space Station (ISS). You might be surprised to learn that there’s a Ryerson connection to this ISS marvel. “This is exactly where our technology and students are,” says Lev Kirischian. “Some prototypes of video-processing systems implementing novel concepts were made in our lab for MDA Space Missions Corporation, the developer of Canadarm. And many engineers and designers of these systems are our former PhD and master’s students.”
In the industry of space vision, advanced robotics and satellite broadcasting, Kirischian and his graduate students develop “brain”-like computing platforms that work up to 1,000 times faster than the conventional computer, while consuming about 100 times less power. “We are developing systems that can understand and dynamically adapt and algorithms that can make reconfiguration decisions much faster than human beings,” says Kirischian. “These decisions often surprise us, the designers of these systems.”
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In the industry of space vision, advanced robotics and satellite broadcasting, Kirischian and his graduate students develop “brain”-like computing platforms that work up to 1,000 times faster than the conventional computer, while consuming about 100 times less power. “We are developing systems that can understand and dynamically adapt and algorithms that can make reconfiguration decisions much faster than human beings,” says Kirischian. “These decisions often surprise us, the designers of these systems.”
Click to Shrink <<