PhD and Masters Programs at the Oregon Graduate Institute

[John Moody]

Fellow Connectionists:

The Oregon Graduate Institute of Science and Technology (OGI) has
openings for a few outstanding students in its Computer Science
and Electrical Engineering Masters and Ph.D programs in the areas
of Neural Networks, Learning, Signal Processing, Time Series,
Control, Speech, Language, and Vision.

Faculty and postdocs in these areas include Etienne Barnard, Ron
Cole, Mark Fanty, Dan Hammerstrom, Hynek Hermansky, Todd Leen, Uzi
Levin, John Moody, David Novick, Misha Pavel, Joachim Utans, Eric
Wan, and Lizhong Wu. Short descriptions of our research interests
are appended below.

OGI is a young, but rapidly growing, private research institute
located in the Portland area. OGI offers Masters and PhD programs
in Computer Science and Engineering, Applied Physics, Electrical
Engineering, Biology, Chemistry, Materials Science and Engineering,
and Environmental Science and Engineering.

Inquiries about the Masters and PhD programs and admissions for
either Computer Science or Electrical Engineering should be addressed
to:

Margaret Day, Director
Office of Admissions and Records 

Oregon Graduate Institute 

PO Box 91000
Portland, OR 97291

Phone: (503)690-1028
Email: margday at admin.ogi.edu


The final deadline for receipt of all applications materials for
the Ph.D. programs is March 1, 1994, so it's not too late to apply!
Masters program applications are accepted continuously.

	+++++++++++++++++++++++++++++++++++++++++++++++++++++++

	   Oregon Graduate Institute of Science & Technology
            Department of Computer Science and Engineering
       & Department of Electrical Engineering and Applied Physics

     Research Interests of Faculty in Adaptive & Interactive Systems
(Neural Networks, Signal Processing, Control, Speech, Language, and Vision)

       


Etienne Barnard (Assistant Professor):

Etienne Barnard is interested in the theory, design and implementation
of pattern-recognition systems, classifiers, and neural networks.
He is also interested in adaptive control systems -- specifically,
the design of near-optimal controllers for real- world problems
such as robotics.


Ron Cole (Professor):

Ron Cole is director of the Center for Spoken Language Understanding
at OGI. Research in the Center currently focuses on speaker-
independent recognition of continuous speech over the telephone
and automatic language identification for English and ten other
languages. The approach combines knowledge of hearing, speech
perception, acoustic phonetics, prosody and linguistics with neural
networks to produce systems that work in the real world.


Mark Fanty (Research Assistant Professor):

Mark Fanty's research interests include continuous speech recognition
for the telephone; natural language and dialog for spoken language
systems; neural networks for speech recognition; and voice control
of computers.


Dan Hammerstrom (Associate Professor):

Based on research performed at the Institute, Dan Hammerstrom and
several of his students have spun out a company, Adaptive Solutions
Inc., which is creating massively parallel computer hardware for
the acceleration of neural network and pattern recognition
applications.  There are close ties between OGI and Adaptive
Solutions.  Dan is still on the faculty of the Oregon Graduate
Institute and continues to study next generation VLSI neurocomputer
architectures.


Hynek Hermansky (Associate Professor);

Hynek Hermansky is interested in speech processing by humans and
machines with engineering applications in speech and speaker
recognition, speech coding, enhancement, and synthesis. His main
research interest is in practical engineering models of human
information processing.


Todd K. Leen (Associate Professor):

Todd Leen's research spans theory of neural network models,
architecture and algorithm design and applications to speech
recognition. His theoretical work is currently focused on the
foundations of stochastic learning, while his work on Algorithm
design is focused on fast algorithms for non-linear data modeling.


Uzi Levin (Senior Research Scientist):

Uzi Levin's research interests include neural networks, learning
systems, decision dynamics in distributed and hierarchical
environments, dynamical systems, Markov decision processes, and
the application of neural networks to the analysis of financial
markets.


John Moody (Associate Professor):

John Moody does research on the design and analysis of learning
algorithms, statistical learning theory (including generalization
and model selection), optimization methods (both deterministic and
stochastic), and applications to signal processing, time series,
and finance.


David Novick (Assistant Professor):

David Novick conducts research in interactive systems, including
computational models of conversation, technologically mediated
communication, and human-computer interaction. A central theme of
this research is the role of meta-acts in the control of interaction.
Current projects include dialogue models for telephone-based
information systems.


Misha Pavel (Associate Professor):

Misha Pavel does mathematical and neural modeling of adaptive
behaviors including visual processing, pattern recognition, visually
guided motor control, categorization, and decision making.  He is
also interested in the application of these  models to sensor
fusion, visually guided vehicular control, and human-computer
interfaces.


Joachim Utans (Post-Doctoral Research Associate):

Joachim Utans's research interests include computer vision and
image processing, model based object recognition, neural network
learning algorithms and optimization methods, model selection and
generalization, with applications in handwritten character recognition
and financial analysis.


Lizhong Wu (Post-Doctoral Research Associate):

Lizhong Wu's research interests include neural network theory and
modeling, time series analysis and prediction, pattern classification
and recognition, signal processing, vector quantization, source
coding and data compression.  He is now working on the application
of neural networks and nonparametric statistical paradigms to
finance.


Eric A. Wan  (Assistant Professor):

Eric Wan's research interests include learning algorithms and
architectures for neural networks and adaptive signal processing.
He is particularly interested in neural applications to time series
prediction, adaptive control, active noise cancellation, and
telecommunications.