Research Interests
Dr. Browse carries out research in the area of human-machine
interaction and virtual reality. His primary interest is in
quantifying the performance improvements that accompany the
introduction of advanced graphic display capabilities. For
the purpose of entertainment, there is a great importance
placed on the subjective impression of the reality of graphic
displays. For other applications such as CAD/CAM, robotic
teleoperation, and the use of virtual reality in medical
applications, the most important aspect is the accuracy of
the operator's understanding of the geometric structure that
is being portrayed. Dr. Browse is currently experimenting
with a variety of graphic rendering parameters, stereographic
displays, and displays that update in response to the head
position of the viewer.
Dr. Browse also conducts research in the area of neural
networks. Neural networks are a particular form of parallel
processing that is inspired by the way biological systems are
structured and operate. Neural network systems have been
remarkably successful in solving problems for which example
solutions exist, because automated learning is an integral
part of the operation of neural networks. Dr. Browse's
primary interests are in the development of modular neural
systems, and in the application of advanced search techniques
such as genetic algorithms in the determination of the modular
structure of a neural network.