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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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