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Micah Beck
Associate Professor of Computer Science
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Dr. Beck has been an active researcher in a number of areas of computer
systems, including distributed operating systems, the theory of distributed
computation, compilers, parallel computation, networking and storage. He is
co-Director of the Logistical Computing and Internetworking Laboratory, and
he serves as chair of the Internet2 Network Storage Working Group.
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Michael Berry
Professor of Computer Science
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Professor Berry's specific
research interests include computational science, the design
of parallel numerical algorithms and software, information retrieval,
data mining, computational ecology, and the performance evaluation
of computer systems. |
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Jack
Dongarra
University Distinguished Professor of Computer Science
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Jack Dongarra holds a joint
appointment as University Distinguished Professor of Computer
Science in the Computer Science Department at the University
of Tennessee (UT) and as Distinguished Scientist in the Mathematical
Sciences Section at Oak Ridge National Laboratory (ORNL) under
the UT/ORNL Science Alliance Program. He specializes in numerical
algorithms in linear algebra, parallel computing, use of advanced-computer
architectures, programming methodology, and tools for parallel
computers. Other current research involves the development,
testing and documentation of high quality mathematical software.
He was involved in the design and implementation of the software
packages EISPACK, LINPACK, the BLAS, LAPACK, ScaLAPACK, Netlib/XNetlib,
PVM/HeNCE, MPI and the National High-Performance Software Exchange;
and is currently involved in the design of algorithms and techniques
for high performance computer architectures. |
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Tom Dunigan
Adjunct Associate Professor of Computer Science and
Oak Ridge National Laboratory Research Scientist
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Dr. Dunigan's research includes
performance analysis of high performance parallel computers
and high speed networks. His recent work in network traffic
characterization has expanded to include research in network
intrusion detection. |
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Jens Gregor
Professor of Computer Science
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Professor Gregor does research
in pattern and image analysis. Current topics include advanced
dynamic programming analysis of pattern structure in strings,
iterative techniques for reconstruction of medical and gamma-ray
images, and 3D scene modeling from laser range images. |
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Jian
Huang
Assistant Professor of Computer Science
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Professor Huang does research
in Visualization and Computer Graphics. His current research
interests include large scale visualization, remote visualization
and real time graphics. |
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Michael A.
Langston
Professor of Computer Science
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Dr. Langston's research
interests span an assortment of topics, including the analysis
of algorithms, network optimization, operations research, parallel
computing and VLSI design theory. He is currently exploring
nonconstructive complexity tools and design paradigms for sequential
and parallel algorithms. A central goal is to develop approaches
that bring powerful and, in many cases, emergent mathematical
techniques to bear on important combinatorial problems. Dr. Langston
is a member of the Founding Committee of the Journal of
Computing and Information and is a past Editor-in-Chief of
ACM SIGACT News. He currently serves on the editorial boards
of Communications of the ACM and Parallel Processing Letters.
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Bruce J.
MacLennan
Associate Professor of Computer Science
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Professor MacLennan's research
goal is a better understanding of nonpropositional (or tacit)
knowledge, and the development of computer technologies for
representing and processing it. Therefore, a major research
thrust has been an investigation of the principles of continuous
information representation and processing in the brain, with
the aim of implementing these principles in computers. A second
thrust is the development of field computation, a theoretical
framework for understanding massively parallel processing of
spatially-extended continua of information. A third thrust is
aimed at a major unsolved problem in neural networks and connectionism:
the relation between nonpropositional (subsymbolic) and propositional
(symbolic) knowledge. |
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Lynne E. Parker
Associate Professor of Computer Science
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Professor Parker performs research in artificial intelligence and
distributed intelligent systems, focusing primarily on cooperative
teams of autonomous mobile robots. She has explored a variety of
issues in this area, including cooperative control, software
architecture design, multi-robot communication, distributed
heterogeneous sensing, machine learning, robot navigation, fault
tolerant control, and mobile distributed sensing. Her current
projects are aimed at enabling large teams (100+) of heterogeneous
physical mobile robots to work together cooperatively in search
applications, as well developing a theoretical understanding of the
capabilities and limitations of algorithms for swarm robot control.
Dr. Parker also holds an appointment at Oak Ridge National Laboratory
as an adjunct Distinguished Research and Development Staff Member in
the Computer Science and Mathematics Division.
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James
Plank
Associate Professor of Computer Science
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Professor Plank's interests are
in the areas of fault-tolerance, operating systems,
architecture, programming environments, and software for
graphing.
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Jesse H. Poore
Professor of Computer Science
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Professor Poore is interested
in the production and maintenance of high-quality software.
His major activities are the further development of the Cleanroom
process for developing software under statistical quality control,
reverse engineering for maintenance, statistical testing for
certification and the development of various metrics for quality
and productivity. He is involved in research and technology
transfer with industry internationally and also is working with
local firms to enhance their software activities. He was recently
appointed to the National Academy of Science Panel on Statistical
Methods for Testing and Evaluating Defense Systems. |
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David W. Straight
Assistant Professor of Computer Science
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Professor Straight's interests
lie in the areas of computability theory, data security, graph-theoretic
applications and algorithms for parallel processors. His departmental
administrative duties include graduate student recruitment,
student advising and service on departmental graduate student
admission and assistantship committees. |
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Michael G.
Thomason
Professor of Computer Science
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Dr. Thomason's research is structural
pattern/image analysis and stochastic models in computer science.
Contributions include techniques of inference of Markov chains
as models of pattern sequences, such as banding patterns in
human chromosomes. Current work in medical imaging emphasizes
distributed computation in PET (positron-emission tomography)
applied to raw data from scanners at the UT Medical Center-Knoxville.
Research in stochastic models of algorithms running on multiple
processors in a distributed environment (for example, on a network
of workstations) will soon graduate its first Ph.D. student.
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Bradley T. Vander
Zanden
Professor of Computer Science
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Professor Vander Zanden's
research focuses on program language design and implementation,
especially as it applies to graphical user interfaces. Two promising
technologies that Professor Vander Zanden has helped develop
include constraints and a graphical interface builder called
Lapidary. Constraints permit much of an interface to be specified
declaratively and then automatically implemented via a constraint
solver. These features significantly reduce the amount of code
that must be written by an implementer, thus decreasing the
time spent testing the system and speeding development. Professor
Vander Zanden is currently exploring compilation strategies
for improving the run-time storage and performance of constraints.
Lapidary allows all pictorial aspects of programs to be specified
graphically and many behavioral aspects to be specified via
dialog boxes or demonstration. Thus designers can rapidly prototype,
test, and create graphical interfaces. Professor Vander Zanden
is currently exploring how the visual programming techniques
pioneered in Lapidary can be applied to the area of visual programming,
so that programmers can pictorially specify programs involving
fundamental data structures, such as trees, graphs, lists, and
arrays. |
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Michael D. Vose
Associate Professor of Computer Science
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Dr. Vose's research focus is
Genetic Algorithms. |
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Robert C. Ward
Professor of Computer Science
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Professor Ward's research
interests include the development of algorithms for solving
matrix problems on serial and parallel computers, with particular
emphasis on eigenvalue and sparse matrix problems, and performance
evaluation of scientific codes on traditional and new computer
architectures. His managerial interests include developing strong
research and collaborating computer scientists to attack the
important problems in the discipline and to form interdisciplinary
teams to address issues of fundamental national importance.
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