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Research in the Pattern Recognition and Intelligent Sensor Machines Lab lies at the interface between signal processing, pattern recognition, neural computation, robotics and sensor systems. Our interest is in understanding how sensory systems (man-made or biological) perceive, interact with, learn from and adapt to their environments under a number of modalities, including chemical, acoustic, visual, and physiological. In the process, we draw motivation from multiple disciplines, from neurobiology to perceptual psychology. Our current research projects include:
- computational models of olfaction,
- signal processing methods for voice conversion,
- caricature-based face recognition, and
- wearable physiological sensors.
 |
 |
Glomerular and mitral activity in a neuromorphic model of the olfactory bulb |
Likelihood density estimate
of ten complex odors in chemical sensor-array feature space
|
Graduate
Research Assistant position in SPEECH PROCESSING. We
are looking for a highly-qualified PhD student to pursue research
in speech analysis and synthesis. The ideal candidate would have
a strong
background in signals and systems (e.g., linear
time invariant systems, Fourier/Laplace/Z transforms), knowledge
of
pattern recognition (e.g., statistical learning,
neural networks), familiarity
with speech tools, and broad interests in speech
perception by humans. |
| Graduate
Research Assistant position in WEARABLE SENSORS. We
are looking for a highly-qualified PhD student
to pursue research in wearable physiological sensors (electromyography,
electrocardiography, skin conductance). The ideal candidate
would have experience with hardware design (instrumentation,
embedded systems) and a strong background in signals and systems.
Background in physiology and human computer interaction are
a plus. Inquiries should be directed to Prof. Gutierrez-Osuna. Please include a resume in PDF/TXT format, including the names of three references. Applications are being accepted for Spring 2010 or until the position is filled. |
Research
position in Biomedical Signal Processing. We are
looking for a Ph.D. or MS in electrical engineering, computer
engineering, or
computer science with experience in the field of biomedical
signal processing. Familiar with biomedical signals, adaptive
noise
estimation and cancellation, pattern recognition and modeling
techniques. Must have good programming skills (C, Matlab,
...) and be a highly motivated team player. Requires excellent
oral and written communication skills in English. Ability
to multitask and work cooperatively with others from diverse
backgrounds. Inquiries should be directed to Prof. Beena Ahmed along with a CV and a short statement of purpose. |
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