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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2007 Graduate Catalog and 2006 Annual R & D Report Sirindhorn International Institute of Technology (SIIT) Dr. Ruben N. Mera Assistant Professor B. Math, University of the Republic Montevideo, Uruguay M.Sc. Mathematical Statistics, CIENES, Santiago, Chile D.E.A. Probability, University of Paris VI, France Ph.D. Mathematics, Auburn University, Alabama, USA Areas of Specialization: Complex-survey designs, Complex variables. Research Interests: Complex-Survey Designs and Estimation A complex-survey design incorporates elements such as stratification, clustering, unequal inclusion probabilities, and weighting, among others. Under a complex design, observations do not follow the standard assumptions of Independent Identically Distributed (IID) observations of classic statistical analysis. Missing values induce bias, and imputation contributes to inflate variances. The way these different factors interact is not well known. Survey designs must integrate all the components of the population structure. Estimation and variance estimation must account for all the complexities of the design. Disclosure Avoidance Government agencies are required to protect respondents’ confidentiality, both to comply with law requisites as well as to insure an accurate data collection. The public release of microdata prompts the risk of identification of a respondent by a third party. Masking techniques, such as data disturbance or swapping, to avoid the linking of observations to respondents, are typical methods to prevent identity disclosure. Masking procedures, however, distort the data and induce bias. The challenge is to produce public data files that are representative of the population and, at the same time, insure the respondents’ privacy. Best Polynomial Interpolation The field of polynomial interpolation and approximation has been exhaustively investigated in the past. Diverse methods were developed for constructing polynomials such that, the polynomial and some of its derivatives agree on a set of given points with the values of the function and its derivatives. The choice of the points to obtain the best approximating polynomial, however, has not been explored in detail. Research on the best approximating polynomial is, therefore, of interest to pursue. Dr. Thawatchai Onjun Assistant Professor B.S. in Physics, University of Rochester, Rochester, New York, USA M.S. in Physics, Lehigh University, Bethlehem, Pennsylvania, USA Ph.D. in Physics, Lehigh University, Bethlehem, Pennsylvania, USA Areas of Specialization: Theoretical and computational plasma physics. Research Interest: Theoretical and Computational Plasma Physics Fusion-related research with focus on thermal and particle transport such as predicting the time evolution of temperature and density profiles in tokamaks using an integrated modeling approach. Integrated modeling is an important element of tokamak fusion research that contributes in an essential way to the interpretation and planning of experiments, validation of theory against experimental results, development of plasma control techniques, and the design of next step devices such as ITER. Research is closely related to ongoing and proposed experiments at major fusion laboratories. 40

2007 Graduate Catalog and 2006 Annual R & D Report Sirindhorn International Institute of Technology (SIIT) Executive Committee 1. Prof. Dr. Sawasd Tantaratana Acting Director of SIIT. 2. Prof. Dr. Somnuk Tangtermsirikul Deputy Director of SIIT. 3. Assoc. Prof. Dr. Winyu Rattanapitikon Executive Assistant Director for Rangsit Campus. 4. Assoc. Prof. Dr. Ekawit Nantajeewarawat Executive Assistant Director for Bangkadi Campus. 5. Assoc. Prof. Dr. Amorn Pimanmas Assistant Director for Special Affairs. 6. Assoc. Prof. Dr. Ruengsak Kawtummachai Assistant Director for Student Affairs. 7. Asst. Prof. Dr. Pakorn Opaprakasit Assistant Director for Admission and Public Relations. 8. Asst. Prof. Dr. Alice Sharp Head, Department of Common and Graduate Studies (CGS). 9. Asst. Prof. Dr. Luckhana Lawtrakul Acting Head, School of Bio-Chemical Engineering and Technology (BCET). 10. Assoc. Prof. Dr. Pruettha Nanakorn Head, School of Civil Engineering and Technology (CET). 11. Asst. Prof. Dr. Chalie Charoenlarpnopparut Head, School of Communications, Instrumentations and Control (CIC). 12. Assoc. Prof. Dr. Thanaruk Theeramunkong Head, School of Information and Computer Technology (ICT). 13. Assoc. Prof. Dr. Somrote Komolavanij Head, School of Management Technology (MT). 14. Assoc. Prof. Dr. Navee Chiadamrong Head, School of Manufacturing Systems and Mechanical Engineering (MSME). 15. Ms. On-Anong Suraniranat Head of Library and Information Services Center; Member and Secretary of the Committee. Adjunct Faculty Members - Graduate Programs Dr. R.H.B. Exell Professor, King Mongkut's University of Technology Thonburi, Thailand; Professor Emeritus, Asian Institute of Technology (AIT), Thailand. BA Oxford University, UK MA Oxford University, UK DPhil Oxford University, UK Dr. Yongwimon Lenbury Professor, Mahidol University, Thailand. BSc Australian National University, Australia MSc Australian National University, Australia PhD Vanderbilt Tennesse University, USA Instructors Academic Year 2007 School of Bio-Chemical Engineering and Technology School of Civil Engineering and Technology Dominica Del Mundo Dacera (Half-time) BSChE Chemical Engineering, Mindanao State University, Marawi City, Philippines. MEng Environmental Engineering, Asian Institute of Technology, Pathum Thani, Thailand. Krittiya Kaewmanee (Half-time) BEng Civil Engineering, Sirindhorn International Institute of Technology, Thammasat University, Thailand. MEng Civil Engineering, Kochi University of Technology, Japan. 41

<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 />

Dr. Ruben N. Mera<br />

Assistant Professor<br />

B. Math, University of the Republic Montevideo, Uruguay<br />

M.Sc. Mathematical Statistics, CIENES, Santiago, Chile<br />

D.E.A. Probability, University of Paris VI, France<br />

Ph.D. Mathematics, Auburn University, Alabama, USA<br />

Areas of Specialization: Complex-survey designs, Complex variables.<br />

Research Interests:<br />

Complex-Survey Designs <strong>and</strong> Estimation<br />

A complex-survey design incorporates elements such<br />

as stratification, clustering, unequal inclusion<br />

probabilities, <strong>and</strong> weighting, among others. Under a<br />

complex design, observations do not follow the<br />

st<strong>and</strong>ard assumptions of Independent Identically<br />

Distributed (IID) observations of classic statistical<br />

analysis. Missing values induce bias, <strong>and</strong> imputation<br />

contributes to inflate variances. The way these<br />

different factors interact is not well known. Survey<br />

designs must integrate all the components of the<br />

population structure. Estimation <strong>and</strong> variance<br />

estimation must account for all the complexities of the<br />

design.<br />

Disclosure Avoidance<br />

Government agencies are required to protect<br />

respondents’ confidentiality, both to comply with law<br />

requisites as well as to insure an accurate data<br />

collection. The public release of microdata prompts<br />

the risk of identification of a respondent by a third<br />

party. Masking techniques, such as data disturbance<br />

or swapping, to avoid the linking of observations to<br />

respondents, are typical methods to prevent identity<br />

disclosure. Masking procedures, however, distort the<br />

data <strong>and</strong> induce bias. The challenge is to produce<br />

public data files that are representative of the<br />

population <strong>and</strong>, at the same time, insure the<br />

respondents’ privacy.<br />

Best Polynomial Interpolation<br />

The field of polynomial interpolation <strong>and</strong><br />

approximation has been exhaustively investigated in<br />

the past. Diverse methods were developed for<br />

constructing polynomials such that, the polynomial<br />

<strong>and</strong> some of its derivatives agree on a set of given<br />

points with the values of the function <strong>and</strong> its<br />

derivatives. The choice of the points to obtain the best<br />

approximating polynomial, however, has not been<br />

explored in detail. Research on the best<br />

approximating polynomial is, therefore, of interest to<br />

pursue.<br />

Dr. Thawatchai Onjun<br />

Assistant Professor<br />

B.S. in Physics, University of Rochester, Rochester, New York, USA<br />

M.S. in Physics, Lehigh University, Bethlehem, Pennsylvania, USA<br />

Ph.D. in Physics, Lehigh University, Bethlehem, Pennsylvania, USA<br />

Areas of Specialization: Theoretical <strong>and</strong> computational plasma physics.<br />

Research Interest:<br />

Theoretical <strong>and</strong> Computational Plasma Physics<br />

Fusion-related research with focus on thermal <strong>and</strong><br />

particle transport such as predicting the time evolution<br />

of temperature <strong>and</strong> density profiles in tokamaks using<br />

an integrated modeling approach. Integrated<br />

modeling is an important element of tokamak fusion<br />

research that contributes in an essential way to the<br />

interpretation <strong>and</strong> planning of experiments, validation<br />

of theory against experimental results, development<br />

of plasma control techniques, <strong>and</strong> the design of next<br />

step devices such as ITER. Research is closely<br />

related to ongoing <strong>and</strong> proposed experiments at<br />

major fusion laboratories.<br />

40

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