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2008-03-21Small volume imagingHyeonbae Kang2008-03-21
10:00:00 - 11:00:00Small volume imaging308 , Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-21Reconstruction methods for inverse problemsGen Nakamura2008-03-21
11:20:00 - 12:20:00Reconstruction methods for inverse problems308 , Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-21Pseudo-Partial Likelihood for Proportional Hazards Models with Biased-Sampling DataWei-Yann Tsai 2008-03-21
14:30:00 - 17:00:00 Pseudo-Partial Likelihood for Proportional Hazards Models with Biased-Sampling Data 502 , Freshman Classroom Building -
2008-03-21Pseudo-Partial Likelihood Estimators for Cox Regression Model With Missing CovariatesWei-Yann Tsai 2008-03-21
14:30:00 - 17:00:00 Pseudo-Partial Likelihood Estimators for Cox Regression Model With Missing Covariates502 , Freshman Classroom Building -
2008-03-20Workshop on Statistical Methodology of Microarray DataInvisibility
Prof. Gunther Uhlmann ( Department of Atmospheric Sciences, University of Washington, USA )2008 - 03 - 20 (Thu.)
10:00 - 11:00
308, Mathematics Research Center Building (ori. New Math. Bldg.)We describe construction of electromagnetic parameters that make objects invisible to electromagnetic waves. -
2008-03-20Workshop on Statistical Methodology of Microarray DataReconstruction methods for inverse problems
Prof. Gen Nakamura ( Hokkaido University, Japan )2008 - 03 - 20 (Thu.)
11:20 - 12:20
308, Mathematics Research Center Building (ori. New Math. Bldg.)For the recent 10 years the several reconstruction methods have been proposed for inverse scattering problems and inverse boundary value problems. For instance they are the linear sampling method, factorization method, probe method, singular sources method, no-response test, range test and enclosure method etc. These reconstruction methods are non-iterative methods which means that they are not data fitting methods such as the least square methods or the regularized version of those. They provide how to reconstruct the unknowns directly from the given measured data. The lecture will touch the basic ideas of those methods and discuss about their convergence and relations between them. -
2008-03-20Seminar on Graph ColoringCircular consecutive choosability of graphs (IV) Total distance-two labelings of graphs
Prof. Daphne Der-Fen Liu ( California State University, Los Angeles, USA )2008 - 03 - 20 (Thu.)
13:30 - 15:30
405, Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-20Workshop on Statistical Methodology of Microarray DataInvisibility
Prof. Gunther Uhlmann ( Department of Atmospheric Sciences, University of Washington, USA )2008 - 03 - 20 (Thu.)
15:20 - 16:20
308, Mathematics Research Center Building (ori. New Math. Bldg.)We describe construction of electromagnetic parameters that make objects invisible to electromagnetic waves. -
2008-03-20Seminar on Graph ColoringCircular consecutive choosability of graphs (III) Circular consecutive choosibility for odd cycles
Prof. Xuding Zhu ( Zhejiang Normal University, China )2008 - 03 - 20 (Thu.)
10:00 - 12:00
405, Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-20Student seminar on differential geometryComparison theorems in Riemann Geometry, ch1.2~1.3
Dr. Ryosuke Takahashi ( The Chinese University of Hong Kong )2008 - 03 - 20 (Thu.)
19:00 - 20:30
405, Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-20Workshop on Statistical Methodology of Microarray DataSmall volume imaging
Prof. Hyeonbae Kang ( Inha University, South Korea )2008 - 03 - 20 (Thu.)
14:00 - 15:00
308, Mathematics Research Center Building (ori. New Math. Bldg.)Lecture 1. Method of Small Volume Expansions and its Applications to Medical Imaging I will explain the mathematical theory of the small volume expansions in the context of the conductivity equation, which is the simplest possible model. I then discuss how this mathematical theory can be applied to an electrical impedance tomography problem to detect small inclusions buried inside a body. Lecture 2. Mathematical Analysis for MRElastography and Applications MRElastography is a recent modality to image the internal part of body using the internal measurements of the displacement vectors. One of the advantages of the imaging method using MRE over other methods is that it can detect the stiffness parameter of the tissue, by which we can distinguish malign cancer from benign cancer. In this lecture I will explain a new method of reconstruction using MRE data. Lecture 3. New reconstruction methods for Magneto-acoustic Imaging. A new and promising technique in the medical imaging is to excite a local part of body using acoustic or ultrasonic focusing and to measure changes due to the excitation. I will explain new reconstruction methods for the Magneto-acoustic imaging and the vibration potential tomography. -
2008-03-20InvisibilityGunther Uhlmann2008-03-20
10:00:00 - 11:00:00Invisibility308 , Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-20Reconstruction methods for inverse problemsGen Nakamura2008-03-20
11:20:00 - 12:20:00Reconstruction methods for inverse problems308 , Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-20Small volume imagingHyeonbae Kang2008-03-20
14:00:00 - 15:00:00Small volume imaging308 , Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-20InvisibilityGunther Uhlmann2008-03-20
15:20:00 - 16:20:00Invisibility308 , Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-20Comparison theorems in Riemann Geometry, ch1.2~1.3Ryosuke Takahashi 2008-03-20
19:00:00 - 20:30:00 Comparison theorems in Riemann Geometry, ch1.2~1.3405 , Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-20Circular consecutive choosability of graphs (III) Circular consecutive choosibility for odd cyclesXuding Zhu 2008-03-20
10:00:00 - 12:00:00 Circular consecutive choosability of graphs (III) Circular consecutive choosibility for odd cycles405 , Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-20Circular consecutive choosability of graphs (IV) Total distance-two labelings of graphsDaphne Liu 2008-03-20
13:30:00 - 15:30:00 Circular consecutive choosability of graphs (IV) Total distance-two labelings of graphs405 , Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-19Workshop on Statistical Methodology of Microarray DataReconstruction methods for inverse problems
Prof. Gen Nakamura ( Hokkaido University, Japan )2008 - 03 - 19 (Wed.)
11:20 - 12:20
308, Mathematics Research Center Building (ori. New Math. Bldg.)For the recent 10 years the several reconstruction methods have been proposed for inverse scattering problems and inverse boundary value problems. For instance they are the linear sampling method, factorization method, probe method, singular sources method, no-response test, range test and enclosure method etc. These reconstruction methods are non-iterative methods which means that they are not data fitting methods such as the least square methods or the regularized version of those. They provide how to reconstruct the unknowns directly from the given measured data. The lecture will touch the basic ideas of those methods and discuss about their convergence and relations between them. -
2008-03-19Workshop on Statistical Methodology of Microarray DataInvisibility
Prof. Gunther Uhlmann ( Department of Atmospheric Sciences, University of Washington, USA )2008 - 03 - 19 (Wed.)
10:00 - 11:00
308, Mathematics Research Center Building (ori. New Math. Bldg.)We describe construction of electromagnetic parameters that make objects invisible to electromagnetic waves. -
2008-03-19Workshop on Statistical Methodology of Microarray DataSmall volume imaging
Prof. Hyeonbae Kang ( Inha University, South Korea )2008 - 03 - 19 (Wed.)
14:00 - 15:00
308, Mathematics Research Center Building (ori. New Math. Bldg.)Lecture 1. Method of Small Volume Expansions and its Applications to Medical Imaging I will explain the mathematical theory of the small volume expansions in the context of the conductivity equation, which is the simplest possible model. I then discuss how this mathematical theory can be applied to an electrical impedance tomography problem to detect small inclusions buried inside a body. Lecture 2. Mathematical Analysis for MRElastography and Applications MRElastography is a recent modality to image the internal part of body using the internal measurements of the displacement vectors. One of the advantages of the imaging method using MRE over other methods is that it can detect the stiffness parameter of the tissue, by which we can distinguish malign cancer from benign cancer. In this lecture I will explain a new method of reconstruction using MRE data. Lecture 3. New reconstruction methods for Magneto-acoustic Imaging. A new and promising technique in the medical imaging is to excite a local part of body using acoustic or ultrasonic focusing and to measure changes due to the excitation. I will explain new reconstruction methods for the Magneto-acoustic imaging and the vibration potential tomography. -
2008-03-19InvisibilityGunther Uhlmann2008-03-19
10:00:00 - 11:00:00Invisibility308 , Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-19Reconstruction methods for inverse problemsGen Nakamura2008-03-19
11:20:00 - 12:20:00Reconstruction methods for inverse problems308 , Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-19Small volume imagingHyeonbae Kang2008-03-19
14:00:00 - 15:00:00Small volume imaging308 , Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-19Minicourse on Inverse ProblemsMarch 19 - 21, 2008
Room 308, Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-18Geometric AnalysisRicci flow
Prof. Chang-Shou Lin ( Department of Mathematics, National Taiwan University )2008 - 03 - 18 (Tue.)
09:10 - 12:00
405, Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-18Statistical MethodologyModel Checking for ROC Regression Analysis2008 - 03 - 18 (Tue.)
13:30 - 15:00
405, Mathematics Research Center Building (ori. New Math. Bldg.)An overview of the paper “Model Checking for ROC Regression Analysis” by Cai and Zheng (2007) is given. A possible research topic and extension is also explored in this talk. -
2008-03-18Model Checking for ROC Regression Analysis2008-03-18
13:30:00 - 15:00:00 Model Checking for ROC Regression Analysis405 , Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-18Ricci flowChang-Shou Lin 2008-03-18
09:10:00 - 12:00:00 Ricci flow 405 , Mathematics Research Center Building (ori. New Math. Bldg.) -
2008-03-14An Brief Introduction to Inverse Problems and InvisibilityProf. Jenn-Nan Wang ( Department of Mathematics, National Taiwan University )