Study Institute (ASI)
is a high-level teaching activity where a carefully defined subject,
systematically presented, is treated in depth by lecturers of
international standing, and new advances in a subject, not taught
elsewhere, are reported in tutorial form. ASIs, as short courses,
contribute to the dissemination of knowledge and the formation
of international scientific contacts. The teaching in ASIs is
aimed at established scientists with substantial scientific background
in the topic being proposed.
Our capabilities of both generating and collecting
data have been increasing very rapidly. Contributing factors include
the computerization of business, scientific and government transactions,
the widespread use of sensing systems, high-throughput biological
and chemical data. In addition, popular use of the World Wide
Web as a global information system has flooded us with a tremendous
amount of data and information. This explosive growth in stored
and transient data has generated an urgent need for new techniques
and automated tools that can intelligently assist us in transforming
the vast amounts of data into useful information and knowledge.
This ASI explores the new concepts and innovative
computational, mathematical and statistical techniques for modeling
and analyzing modern data sets, a promising and flourishing frontier
in data and information systems and their applications. This field
of study is multidisciplinary, drawing work from areas including
computer science, high-performance computing, machine learning,
mathematics, statistics and visualization.
This ASI is also to bring together computer scientists,
computational and applied mathematicians, statisticians, and practitioners
to promote cross-fertilization of ideas.
An important motivation for this ASI is the need
to build an organized framework for the study of new concepts
and algorithms for modeling and analyzing modern data sets - a
challenging task, owing to the extensive multidisciplinary nature
of this fast-developing field. We hope that this ASI will encourage
local researchers with different backgrounds and experiences to
exchange their views regarding mathematical and algorithmic challenges
so as to contribute toward the further promotion and shaping this
exciting and dynamic field.
ASI Participants Presentation:
ASI participants are encouraged to give a presentation on computational,
mathematical and statistical research for modeling and analyzing modern data
sets. Free accommodation can be arranged for non-local participants with
presentations. If you are interested to give a presentation,
please submit the information http://www.math.hkbu.edu.hk/ASI08/reg/index.php.
The deadline of the submission is 29 February 2008.
The selected presentations will be notified on 15 March 2008.
Hong Kong Baptist University
Kowloon Tong, Hong Kong
Phone: (852) 3411-2348
Fax: (852) 3411-5811
All participants are asked to register. No registration fee needed. Please complete the on-line registration form.
NAB209,Lam Woo International Conference Center
Shaw Campus, Hong Kong Baptist University
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