Graduate Study at the Oregon Graduate Institute

[John Moody]

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, Vision, and Computational Finance. OGI
has over 15 faculty, senior research staff, and postdocs in these
areas. Short descriptions of our research interests are appended below.

The primary purposes of this message are to:

1)  To to invite enquiries and applications from prospective students
    interested in studying for a Masters of PhD Degree in the above areas.

2)  To notify prospective Ph.D. students who are U.S. Citizens or U.S.
    Nationals of various fellowship opportunities at OGI.  Fellowships
    provide full or partial financial support while studying for the PhD.

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

Formal applications should also be sent to Margaret Day.

However, due to the late time in the graduate application season, informal
applications should be sent directly to the CSE Department. For
these informal applications, please include a letter specifying your
research interests and photocopies of your GRE Scores and College transcripts.
Please send these materials to:

Kerri Burke, Academic Coordinator
Department of Computer Science and Engineering
Oregon Graduate Institute
PO Box 91000
Portland, OR 97291-1000
Phone: (503)690-1255




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

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


Etienne Barnard (Assistant Professor, EEAP):

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, CSE):

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, CSE):

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, CSE):

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, EEAP);

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, CSE):

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.


John Moody (Associate Professor, CSE):

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,
economics, and finance.


David Novick (Associate Professor, CSE):

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, EEAP):

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.


Hong Pi (Senior Research Associate, CSE)

Hong Pi's research interests include neural network models, time series
analysis, and dynamical systems theory.   He currently works on the
applications of nonlinear modeling and analysis techniques to time
series prediction problems.


Thorsteinn S. Rognvaldsson  (Post-Doctoral Research Associate, CSE):

Thorsteinn Rognvaldsson studies both applications and theory of
neural networks and other non-linear methods for function fitting
and classification. He is currently working on methods for choosing
regularization parameters and also comparing the performance of
neural networks with the performance of other techniques for
time series prediction.


Joachim Utans (Post-Doctoral Research Associate, CSE):

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.

Pieter Vermeulen (Senior Research Associate, CSE):

Pieter Vermeulen is interested in the theory, design and implementation
of pattern-recognition systems, neural networks and telephone based
speech systems.  He currently works on the realization of speaker
independent, small vocabulary interfaces to the public telephone
network. Current projects include voice dialing, a system to collect
the year 2000 census information and the rapid prototyping of such
systems.

Eric A. Wan  (Assistant Professor, EEAP):

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.


Lizhong Wu (Post-Doctoral Research Associate, CSE):

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.