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Ming-Hung Kao

Assoc Professor

  • 100 Citations
  • 5 h-Index
20092020
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Personal profile

Education/Academic qualification

PHD, University of Georgia

… → 2009

MS, University of Georgia

… → 2006

MS, National Central University

… → 1999

BS, National Central University

… → 1997

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Functional Magnetic Resonance Imaging Mathematics
Hemodynamics Mathematics
Response Function Mathematics
Experimental design Mathematics
Experiment Mathematics
M-sequence Mathematics
Hadamard Matrix Mathematics
Optimal Experimental Design Mathematics

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Research Output 2009 2019

  • 100 Citations
  • 5 h-Index
  • 16 Article

Locally optimal designs for mixed binary and continuous responses

Kim, S. & Kao, M-H., May 1 2019, In : Statistics and Probability Letters. 148, p. 112-117 6 p.

Research output: Contribution to journal › Article

Locally Optimal Design
Binary
Mixed Data
Sharp Bound
Experiment

Circulant partial hadamard matrices: Construction via general difference sets and its application to fMRI experiments

Lin, Y. L., Phoa, F. K. H. & Kao, M-H., Oct 1 2017, In : Statistica Sinica. 27, 4, p. 1715-1724 10 p.

Research output: Contribution to journal › Article

Partial Matrix
Difference Set
Hadamard Matrix
Functional Magnetic Resonance Imaging
Experiment
2 Citations (Scopus)

Optimal and efficient designs for functional brain imaging experiments

Cheng, C. S., Kao, M-H. & Phoa, F. K. H., Feb 1 2017, In : Journal of Statistical Planning and Inference. 181, p. 71-80 10 p.

Research output: Contribution to journal › Article

Brain
Functional Magnetic Resonance Imaging
Hemodynamics
Imaging
Response Function
2 Citations (Scopus)

Optimal design of FMRI experiments using circulant (Almost-)orthogonal arrays

Lin, Y. L., Hing Phoa, F. K. & Kao, M-H., Dec 1 2017, In : Annals of Statistics. 45, 6, p. 2483-2510 28 p.

Research output: Contribution to journal › Article

Orthogonal Array
Design of Experiments
Functional Magnetic Resonance Imaging
Hemodynamics
Response Function

Optimal experimental designs for fMRI when the model matrix is uncertain

Kao, M-H. & Zhou, L., Jan 30 2017, (Accepted/In press) In : NeuroImage.

Research output: Contribution to journal › Article

Research Design
Magnetic Resonance Imaging
Statistical Models

Projects 2014 2020

DOED: Design of Experiments with Dynamic Responses

Pan, R. & Kao, M.

National Science Foundation (NSF)

9/1/17 → 8/31/20

Project: Research project

RTG: DataOriented Mathematical and Statistical Sciences

Platte, R., Kao, M., Boggess, A. & Cochran, D.

National Science Foundation (NSF)

8/1/15 → 7/31/20

Project: Research project

curriculum research
science
statistics
graduate
mathematics

CAREER: New Developments on Experimental Designs for Pioneering Functional Brain Imaging Technologies

Kao, M.

National Science Foundation (NSF)

7/1/14 → 6/30/20

Project: Research project

Design of experiments
Brain
Imaging techniques
Brain mapping
Neuroimaging