2007 Graduate Catalog and 2006 Annual R & D Report - Sirindhorn ...
2007 Graduate Catalog and 2006 Annual R & D Report - Sirindhorn ...
2007 Graduate Catalog and 2006 Annual R & D Report - Sirindhorn ...
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<strong>2007</strong> <strong>Graduate</strong> <strong>Catalog</strong> <strong>and</strong> <strong>2006</strong> <strong>Annual</strong> R & D <strong>Report</strong><br />
<strong>Sirindhorn</strong> International Institute of Technology (SIIT)<br />
working <strong>and</strong> spare capacity design <strong>and</strong> plans to<br />
upgrade reliability-level of existing networks, etc.<br />
Virtual Private Network<br />
The Virtual Private Network (VPN) is technology to<br />
enhance the utilization of an unreliable connection<br />
traversing through public networks (either circuitswitching-based<br />
or IP (Internet Protocol)-based<br />
network) <strong>and</strong> sharing b<strong>and</strong>widths with other users to<br />
create a reliable/secured connection (virtual private<br />
connection) like a conventional leased circuit, but with<br />
much lower costs. The IP-based VPN is promising<br />
since IP-based applications are widely used in all<br />
communities. The IP-based VPN technology involves<br />
designing a security scheme to protect transferred<br />
data from other users, a b<strong>and</strong>width management<br />
scheme to retain the acceptable b<strong>and</strong>width-level of<br />
the connection <strong>and</strong> a parallel data-transferring<br />
scheme to create a virtual high-b<strong>and</strong>width connection<br />
from a group of low-b<strong>and</strong>width connections.<br />
Dr. Pakinee Suwannajan<br />
Lecturer<br />
B.S. in Mathematics (Cum laude with distinction), minor in Computer Science, University of Delaware, USA<br />
M.S. in Applied Mathematics, University of Colorado at Boulder, USA<br />
Ph.D. in Applied Mathematics, University of Colorado at Boulder, USA<br />
Areas of Specialization: Information Retrieval, Applied linear algebra.<br />
Research Interest:<br />
Information Retrieval<br />
The number of text documents nowadays has grown<br />
very rapidly through widely varied media such as<br />
books, journals, <strong>and</strong> Webs. Getting information from<br />
the large collection of data or documents is not an<br />
easy task. Data indexing <strong>and</strong> retrieval are in the field<br />
of Information Retrieval (IR). It has been of interest to<br />
computer information scientists in the past few years.<br />
There are many search algorithms that are used to<br />
solve the retrieval problems, but each still has some<br />
disadvantages, especially in terms of storage usage,<br />
speed, <strong>and</strong> accuracy. This causes the search<br />
algorithms to be not as efficient as they should be.<br />
Finding ways to solve the problems is challenging <strong>and</strong><br />
very useful for the users.<br />
Dr. Philippe Meunier<br />
Lecturer<br />
B.Eng. in Computer Science, Ecole Nationale Superieure des Telecommunications de Paris, France<br />
M.Sc. in Computer Science, Rice University, USA<br />
Ph.D. in Computer Science, Northeastern University, USA<br />
Areas of Specialization: Programming languages, Static analyses.<br />
Research Interest:<br />
Modular Analysis of Higher-Order Languages<br />
Detecting bugs before releasing software is a major<br />
goal of software engineering. While a rigorous<br />
software development process <strong>and</strong> systematic testing<br />
help, only formal methods can guarantee the absence<br />
of bugs, or at least the absence of some classes of<br />
bugs. From sound type systems to theorem provers,<br />
such formal systems have been available for a long<br />
time, but the adoption of these advanced systems has<br />
been slow, due to both their inherent complexity <strong>and</strong><br />
their sometimes poor running times.<br />
My research focuses on static analyses for higherorder<br />
languages, in particular value-flow analyses for<br />
the Scheme programming language. The challenge is<br />
to create an analysis that is modular (so programmers<br />
can analyze individual modules even when the source<br />
code of the whole program is not available), fast, <strong>and</strong><br />
precise (not too many false positives). Using a<br />
graphical static debugger based on such an analysis,<br />
programmers can view sound approximations of the<br />
values <strong>and</strong> errors that each expression in a program<br />
might produce at runtime, as well as view the flows of<br />
the values in the program. With this information,<br />
programmers can then easily trace the sources of<br />
bugs in an intuitive manner.<br />
Dr. Stanislav S. Makhanov<br />
Associate Professor<br />
M. Appl. Math., Moscow State University, Faculty of Computational Mathematics <strong>and</strong> Cybernetics, Moscow<br />
Diploma in English Language, Moscow Institute of Foreign Languages, Moscow<br />
Ph.D. in Applied Mathematics, Computer Center of the Russian Academy of Science, Moscow<br />
Areas of Specialization: Image processing, Robotics, Grid generation, Computational fluid dynamics.<br />
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