|
Intelligent Sensory
Microsystems Laboratory Electrical and Computer
Engineering |
10 King's College Road Phone: (416) 946-8666 Fax: (416) 971-2286 |
Intelligent Sensory Microsystems
Laboratory (Prof. Roman Genov)
Ph.D. and M.S.
research assistant positions are available (Information for prospective
students)
Members of our laboratory conduct research on analog and digital VLSI circuits, systems and algorithms for intelligent sensory integrated systems design.
Intelligent sensory integrated systems acquire sensory data, perform adaptive
computation and implement convenient user interface. The focus is on developing
high-throughput, high integration density and low-power integrated sensory
systems that are tailored for implementations on miniature wearable or
implantable platforms. On-chip intelligence enables such integrated systems to
autonomously interact with the environment through adaptation, learning, making
decisions and taking proper actions.
Examples of research projects undertaken by members of the Intelligent
Sensory Microsystems Laboratory can be grouped into the following three general
categories:
1.
Analog and digital VLSI circuits and systems design.
1.
Low-power
circuit design.
2.
High-performance
data converters.
3.
Parallel
signal processing and distributed adaptive computing.
4.
On-chip
real-time pattern recognition and data classification.
5.
Biology-inspired
electronics.
6.
Implantable
electronics.
2.
Analog and digital VLSI circuits and systems for sensory information processing.
1.
Low-power
biomedical instrumentation for the brain neural activity monitoring.
2.
Real-time
focal-plane image and video processing in active pixel imagers for automated
surveillance and remote medical diagnostics.
3.
Electronic/fluidic
microsystems for vascular disease studies.
3.
Analog and digital VLSI circuits and systems for high performance adaptive computing.
1.
The
Kerneltron: 1GOPS/mW massively parallel mixed-signal
VLSI pattern recognition processor.
2.
Miniature
trainable visual aids for the blind.
3.
Real-time
biosonar detection of underwater buried mines.
4.
Chip-brain
interfaces for automated medical diagnostics.
Qualified
students and researchers interested in joining the lab are encouraged to apply
for admission into our PhD or M.A.Sc. degree programs. Applicants with a Bachelor degree can
enroll directly into the PhD program upon successful completion of the first
two semesters of studies. Admitted students generally receive full financial
support for the duration of their studies. The general application process is outlined at http://www.ece.utoronto.ca/grad/index.shtml
You can also contact me, Prof. Roman Genov, by email at roman@eecg.toronto.edu. Please
attach your CV/resume in pdf format (with GPA stated).
Sometimes I
am not able to answer all email inquiries but will keep them on file until the
graduate office has received all of your application materials (due on February
1st).