Track 3: Computers/Software:
Abstracts and Biographies
Track 3, Session 1: 8:30-9:30am
Java(TM),
C++, and the Web
by
Jeries G. Mashni, Lockheed
Martin Tactical Aircraft Systems
Abstract: The presentation will describe what Java(TM)
is, and will explain how to use Java(TM)
to build interactive web programs. Some of the tricks-n-tips will
be discussed. More details later.
Biography: Jeries is a specialist in the Software and
Processing Technology Center at Lockheed Martin. More details will follow.
Technical Staff, Lockheed
Martin Tactical Aircraft Systems
Abstract: Java(TM) Class
Hierarchy and Runtime Update Capabilities, that make Java(TM)
a useful language for general programming where a high degree of portability
is required, will be presented. Some of the myths of Java(TM)
will be explored, and some tricks-n-tips will be presented. This
will be a more advanced talk than the previous session, "Java(TM)
, C++, and the Web".
Abstract: What is object technology? What does/has OO promised
to practitioners in the industry? Why hasn't OO met its expectations?
What do organizations need to do to gain maximum benefits from OO? These,
and other questions will be answered in this presentation, and the future
of OO in Distributed Computing Environments will be analyzed.
Biography: Mr. Arnold is a Software Systems Development
Consultant, specializing in Object-Oriented technologies. He is currently
providing services to Texas Utilities Information Technology, where he
was brought in to serve as an OO mentor to a number of application development
teams, to asasist in the successful transition of these personnel to object
technology. His expereice with object technology began in the late 1980s
while developing artificially intelligent CBT software for F-16- and F-15-based
electronic warfare systems for the United States Air Force.
Abstract: With the emergence of Gigabit Ethernet standards
and available technology, why would a network engineer design backbone
networks with ATM technology? This session will discuss the lastest on
Gigbit Ethernet and ATM standards, technology and available products, basic
design fundamentals when using these technologies in Local Area Network
backbone systems, and basic positioning of the technologies.
Biography: Jeffrey L. Carrell, is a Senior Systems Engineer
- Internetwork Engineering, for The SABRE Group. His primary technology
focus is ATM core internetworking, supporting over 24,000 interconnected
LANs in the SABRE network. Most recently Jeff was an independent network
consultant. With over eleven years experience in the internetworking industry,
Jeff designs and implements enterprise and branch office networking solutions,
authors technical papers and product reviews, and conducts customized technical
training courses and seminars.
Jeff also is the Electronic Communications Coordinator for IEEE Region
5 and the IEEE Fort Worth Section Secretary. He assists IEEE members in
aspects of Internet connectivity and usage, and conducts Internet seminars
to IEEE groups, as well as other interested organizations. He also writes
an Internet or networking related technology article for Signals, the monthly
newsletter for the Fort Worth Section.
Additionally, Jeff provides technology articles to the community as
a Cyber Columnist for the StarText Online Service.
Abstract: Research in distributed computing continues
on many fronts. Unlike parallel processing, where current use is limited
to a small number of highly specialized applications, networks of computers
are an essential part of almost everyone's daily life. There is an extremely
lively and developing industry is software for which the raison d'etre
is the network. These range from distributed databases, to mobile packet
radio networks in which radios communicate peer-to-peer in a dynamically
changing network that have no base stations, to mobile agents that move
around on the internet gathering data on web-sites and the presence of
specialized expertise. All of this in spite of the fact that many open
problems remain at the fundamental research level, and the number of impossibility
results continues to grow.
From Dijkstra's early introduction of the Dining Philosophers Problem
in 1968 through to the present day, researchers have been intrigued by
algorithms that exist on distributed computer systems, communicating only
by messages, working together to solve problems. Such algorithms must tolerate
errors and losses in the message passing system, and even be resilient
to failures in the processors, links, and the software components running
in the processors. Add to these daunting requirements the need for dynamic
networks, ones in which processors and precosses are added or deleted in
real time, and the network topology can also change arbitrarily without
warning, and you get some feel for the challenges facing the field.
In this talk, we will survey important results in the field and then
look at one example, Mobile Packet Radio Networks, which seems to embody
some of the most difficult challenges to date.
Biography: Dr. Page received his doctorate in Computer
Science from Brunel University in the U.K. He has workin in industry at
International Computers Limited, and at Elliot Automation Radar Systems,
both in the U.K., and has consulted with Texas Instruments, BNR, Rockwell
International, Perot Systems, and others. He is an Associate Professor
in Computer Science at The University of Texas at Dallas. He is Associate
Dean for undergraduate studies, Director of the Collegium Five Honors Program,
and Associate Head of the Computer Science Department.
Abstract: As more and more companies maintain large volumes
of data related to their resources and customers, the need has developed
to automatically analyze this data in search of knowledge that can increase
their competetiveness. Data mining is the search for valuable knowledge
in large volumes of data. This tutorial will both describe and demonstrate
the data mining techniques used to perform this search. We will also describe
data mining's role in the larger process of knowledge discovery in databases,
which also includes data preparation, data reduction and knowledge evaluation.
Biographies: Dr. Lawrence Holder is an Associate Professor
in the Computer Science and Engineering Department at the University of
Texas at Arlington. He received his Ph.D. degree in Computer Science from
the University of Illinois at Urbana-Champaign in 1991. His research interests
include artificial intelligence, machine learning, data mining and robotics.
Dr. Holder has numerous publications in data mining and related areas with
research grants from the State of Texas and the National Science Foundation.
He is a member of AAAI, ACM and IEEE.
URL: http://www-cse.uta.edu/~holder/
Dr. Diane Cook is an Associate Professor in the Computer Science and Engineering
Department at the University of Texas at Arlington. She received her Ph.D.
from the University of Illinois in 1990. Diane's research interests include
artificial intelligence, machine planning, machine learning, robotics,
and parallel algorithms for artificial intelligence. She is one of the
directors of the Learning and Planning Laboratory and of the Graduate Research
Traineeships program at UTA. Her research is supported in part by a CAREER
award and other awards from the National Science Foundation.