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 Masters and Ph.D 
programs in the areas of Neural Networks, Learning, Speech, Language, 
Vision, and Control. 

Faculty in these areas include Etienne Barnard, Ron Cole, Mark Fanty, Dan 
Hammerstrom, Todd Leen, Uzi Levin, John Moody, David Novick, Misha Pavel 
(visiting), and Barak Pearlmutter. Short descriptions of faculty 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 should be 
addressed to:

Office of Admissions and Records
Oregon Graduate Institute of 
    Science and Technology
19600 NW von Neumann Drive
Beaverton, OR 97006-1999

or to the Computer Science and Engineering Department at
csedept at cse.ogi.edu  or (503)690-1150.

The final deadline for receipt of all applications materials is March 1, 1993.
Applications are reviewed as they are received, and applying early is strongly
advised.

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Oregon Graduate Institute of Science & Technology (OGI)
Department of Computer Science and Engineering

Research Interests of Faculty in
Neural Networks, Learning, Speech, Language, Vision, and Control

           
Etienne Barnard:

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:

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:

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:

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.


Todd K. Leen:

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:

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:

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:

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 (visiting from NYU and NASA Ames):


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.


Barak Pearlmutter:

Barak Pearlmutter is interested in adaptive systems in their many
manifestations.  He currently works on neural network learning,
unsupervised learning, generalization, accelerating the learning
process, relations to biology, reinforcement learning and control,
and applications to practical problems.