ANZIIS 96 - Final CFP

Sanjay Mazumdar (
Mon, 15 Apr 1996 16:37:38 +0200

Dear colleague,
I have attached a call for papers for the IEEE sponsored Australian
and New Zealand Conference on Intelligent Information Systems to be held at
the Adelaide Convention Centre on 18-20 November, 1996 (just prior to the
Australian Data Fusion Symposium). Further information can be obtained from
me or from the IEEE SA Section webpage:

I hope to see you there.

Sanjay Mazumdar
Publicity Chair ANZIIS-96




18 - 20 November 1996
Adelaide, Australia

The Australian and New Zealand Conference on Intelligent
Information Systems (ANZIIS-96) will be held at the Adelaide
Convention Centre on 18-20, November 1996 with the
tutorials on the 17th of November 1996.

The conference will include, but will not be limited to, the
following topics:
* Adaptive Systems
* Artificial Intelligence
* Artificial Neural Networks
* Fuzzy Systems
* Genetic Algorithms
* Intelligent Control
* Intelligent Databases
* Issues in education
* Industrial case studies
* Knowledge-based Engineering
* Virtual Reality
* Visual Information Processing
* Wavelets

The conference will include sessions on theory,
implementation and applications, as well as the non-technical
areas of challenges in education and technology transfer to
industry. There will be both oral and poster sessions.

Authors should submit four copies of full papers, not
exceeding 4 pages in length by 3 May 1996. Detailed
instructions for authors may be obtained by contacting Plevin
and Associates or from the ANZIIS-96 WWW homepage at
All presenting authors must register as a delegate in order for
their papers to be included in the proceedings.

Submissions may be sent by surface mail or e-mail (postscript,
tex, or latex) to the Conference Manager:

Plevin and Associates Pty Ltd
PO Box 54 Burnside
South Australia 5066
International Telephone: + 61 8 379 8222
International Facsimile: + 61 8 379 8177


Full papers due on: 19 May (Previously 3 May)
Notification of acceptance: 19 July
Author registration due on: 16 Aug
Camera-ready papers due on: 16 Aug


Professor Leon Cohen
Title: Time-Frequency-Scale Description of Signals

Leon Cohen received the B. S. degree from City College
in 1962 and the Ph.D. degree from Yale University in 1966.
He is currently Professor of Physics at
The City University of New York. He has done
research in mathematical physics, astronomy, quantum mechanics,
chemical physics, and signal analysis. He recently published a book on
the subject: ``Time-Frequency Analysis'' (Prentice-Hall)
Dr. Cohen is a fellow of the American Physical Society.

Associate Professor Paul Compton
Title: Incremental knowledge acquisition - Can the knowledge
engineering bottleneck be overcome?

Paul Compton is an Associate Professor and Head of the
School of Computer Science and Engineering, University of
New South Wales, and is a member of the School's Dept. of
Artificial Intelligence. He is a member of the editorial board of
the International Journal of Human Computer Studies and has
been on the organising committee or a co-chair of various
international KA workshops (including the Pacific Rim
Knowledge Acquisition Workshop to be held in Sydney in
October 1996). His main research interest apart from KA is in
AI tools to support the development of new scientific

Associate Professor Douglas Cochran
Doug Cochran is an Associate Professor of Electrical
Engineering at Arizona State University. He is General Chair
of ICASSP 99 to be held in Phoenix, Arizona. He has been at
ASU for 7 years. Prior to that he was a Senior Scientist at Bolt,
Beranek and Newman Inc. in Cambridge, Massachusetts. His
principal areas of interest are mathematical signal and image
analysis, detection theory and robust communication systems.


Time-Frequency Analysis
Professor Leon Cohen, City University of New York

Time varying spectra is one of the most primitive
sensations we experience since we are surrounded by light
of changing color, by sounds of varying pitch, and by many other
phenomena whose periodicities change. Hence the need to describe
how the spectral content of a signal is changing in time, and
to develop the physical and mathematical ideas needed to understand
what a time-varying spectrum is. We will describe why this is an
elegant and challenging problem, and the immense strides that have
recently been made. In addition, we will demonstrate,
using real examples, the immense practical applications
over the last few years in such areas as biomedical signals,
geophysical signals, machine fault detection, sonar,
pattern recognition, and speech processing.

Knowledge Acquisition and Maintenance with Ripple
Down Rules
Assoc Prof Paul Compton, University of New South Wales

The aim of this tutorial is teach participants a simple but
powerful knowledge acquisition (KA) technique, Ripple Down
Rules (RDR). The tutorial will cover the following topics:
problems in knowledge acquisition and situated cognition,
basic principles of RDR, RDR case studies, problems with
RDR, induction and RDR, multiple classification RDR,
configuration RDR, explanation and RDR, data modelling and
RDR and an opportunity to use some RDR systems.

Rule-Extraction from Trained Neural Networks for
Development of Fuzzy Classifiers
Dr Saman Halgamuge, University of South Australia

This tutorial will cover the following issues: an introduction to
fuzzy system models and neural networks for classification,
intelligent systems applicable to data analysis, methods of
designing fuzzy systems and application examples.

An Introduction to Intelligent Control
Dr Cheng-Chew Lim, University of Adelaide
Dr Sanjay Mazumdar, DSTO (Australia)

The following topics will be covered in this tutorial: modelling
of dynamic systems using neural networks, commonly used
neural control techniques, robustness and stability issues,
neural control applications, fuzzy set theory, fuzzy logic
control and fuzzy logic control applications. Some comments
on the software tools available for intelligent control will also
be provided.


General Chair
Dr Noel Martin, DSTO, Australia
Deputy Chair
Dr Geoff Poulton, CSIRO, Australia
Technical Chair
Dr V. Lakshmi Narasimhan, DSTO, Australia
Publications Chair
Assoc Prof Lakhmi Jain, University of South Australia
Finance Chair
Dr Zia Ahmed, DSTO, Australia
Publicity Chair
Dr Sanjay Mazumdar, DSTO, Australia
Local Arrangements Chair
Dr Salim Bouzerdoum, University of Adelaide, Australia
Exhibitions Chair
Mr Geoff Thomas, Vision Systems Limited
Tutorials Chair
Assoc Prof Daniel W. McMichael,
CSSIP, University of South Australia
Sponsorship Chair
Dr Sherry Hammel, Naval Undersea Warfare Center, USA, on
attachment to DSTO, Australia
Student Liaison Chair
Dr Karl Sammut, Flinders University of South Australia
New Zealand Liaison Chair
Assoc Prof Nikola Kasabov, University of Otago,
New Zealand
US Liaison Chair
Prof James Byrnes, Prometheus Inc.

The conference will be held in Adelaide, the capital of South
Australia, the "Festival State", which is famous for its biennial arts
festival. Adelaide is centred on one of the most diverse areas of
attraction with direct access to the Flinders Ranges, Kangaroo Island
and the world famous Barossa Valley. The conference will be held at
the Adelaide Convention Centre, a five star venue which overlooks
the picturesque Torrens River.

A Trade Exhibition will be held as an integral part ANZIIS-96. The
latest hardware and applications software will be on display and ready
for demonstration.

The First Australian Data Fusion Conference will be held in Adelaide
during 21-22 Nov 1996. More information can be obtained via
WWW on:

IEEE South Australia Section
Defence Science Technology Organisation (Australia)
Cooperative Research Centre for Sensor Signal and
Information Processing (CSSIP)

Dr Sanjay Mazumdar
Research Scientist
Guidance and Control Group
Weapons Systems Division
Defence Science Technology Organisation (Australia)
PO Box 1500
Salisbury SA 5108 AUSTRALIA
Ph: +61 8 259 7095 Fax: +61 8 259 5538