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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 />

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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