Croucher Advanced Study Institute
Mathematical & Algorithmic Challenges for
Modeling & Analyzing Modern Data Sets

21-25 April 2008
Hong Kong Baptist University, Hong Kong

 

 

Background:

An Advanced 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.


Objectives:

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 Lecturers:

Orly Alter University of Texas at Austin
Michael Berry University of Tennessee at Knoxville
Chris Ding University of Texas at Arlington
Andreas Dress CAS-MPG Partner Institute for Computational Biology
Tony Hu
Drexel University
Lieven De Lathauwer Ecole Nationale Superieure d'Electronique et de ses
Yi Pan Georgia State University
Bob Plemmons Wake Forest University
Prabhakar Raghavan Yahoo! Research
Larry Shepp Rutgers University
Jack Silverstein North Carolina State University
Wei Zhang M. D. Anderson Cancer Center


ASI Speakers:

Raymond Chan Chinese University of Hong Kong
David Cheung The University of Hong Kong
Albert Chung Hong Kong University of Science and Technology
Dilip Ghosh Rutgers University
Joshua Huang The University of Hong Kong
Clement Leung Hong Kong Baptist University
Chun Ho Liu The University of Hong Kong
Jiming Liu Hong Kong Baptist University
Michael Ng Hong Kong Baptist University
Mila Nikolova CMLA, ENS Cachan
Liqun Qi The Hong Kong Polytechnic University
Guoping Qiu University of Nottingham, UK/Hong Kong Baptist University
Gabriele Steidl University of Mannheim
Peter Tang Intel Corporation, USA
Dacheng Tao The Hong Kong Polytechnic University
Ah Chung Tsoi Hong Kong Baptist University
Hong Yan City University of Hong Kong
Qiang Yang Hong Kong University of Science and Technology
Andy Yip National University of Singapore
Philip Yu The University of Hong Kong
Weichuan Yu Hong Kong University of Science and Technology
Changsong Zhou Hong Kong Baptist University
Ding-Xuan Zhou City University of Hong Kong
Lixing Zhu Hong Kong Baptist University


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.


Organizing Committee:

Michael Ng (ASI Director) Hong Kong Baptist University
Liqun Qi (ASI Co-Director)
The Hong Kong Polytechnic University
Raymond Chan Chinese University of Hong Kong
David Cheung

The University of Hong Kong

Qiang Yang Hong Kong University of Science and Technology
Lixing Zhu Hong Kong Baptist University



Organizers:

Centre for Mathematical Imaging and Vision, Hong Kong Baptist University
Department of Mathematics, Hong Kong Baptist University
Institute for Computational Mathematics, Hong Kong Baptist University


Sponsor:

The Croucher Foundation


Contact Information:

c/o Department of Mathematics
Hong Kong Baptist University
Kowloon Tong, Hong Kong
Phone: (852) 3411-2348
Fax: (852) 3411-5811
Email:asi08@math.hkbu.edu.hk
Webpage:http://www.math.hkbu.edu.hk/ASI08


Registration:

All participants are asked to register. No registration fee needed. Please complete the on-line registration form.


Institute Venue:

NAB209,Lam Woo International Conference Center
Shaw Campus, Hong Kong Baptist University

Some Useful Information:

About Hong Kong
Coming and Going


Site maintained by: webmaster@math.hkbu.edu.hk
Last update : Tuesday, 22-Apr-2008 10:18:09 HKT