Ming-Hung Kao
· Associate ProfessorArizona State University · Mathematics
Active 1999–2025
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About
Ming-Hung Kao’s primary research interest is in the design of experiments. Motivated by real-world applications, he has been developing insightful statistical theory and efficient computational methods for identifying optimal experimental designs that allow experimenters to collect the most informative data at minimum cost to make precise and valid statistical inference. His current research focus is on the development of high-quality designs for functional neuroimaging experiments where pioneering brain mapping technologies are utilized to improve knowledge about the inner workings of the human brain.
Research topics
- Computer Science
- Artificial Intelligence
- Mathematics
- Mathematical optimization
- Statistics
- Machine Learning
- Computer Security
- Econometrics
- Algorithm
Selected publications
Journal of the Royal Statistical Society Series C (Applied Statistics) · 2012-01-30 · 16 citations
article1st authorCorrespondingSummary Functional magnetic resonance imaging (MRI) is an advanced technology for studying brain functions. Owing to the complexity and high cost of functional MRI experiments, high quality multiobjective functional MRI designs are in great demand; they help to render precise statistical inference and are keys to the success of functional MRI experiments. Here, we propose an efficient approach for obtaining multiobjective functional MRI designs. In contrast with existing methods, the approach pr…
On the optimality of extended maximal length linear feedback shift register sequences
Statistics & Probability Letters · 2013-03-01 · 13 citations
article1st authorCorrespondingA new type of experimental designs for event-related fMRI via Hadamard matrices
Statistics & Probability Letters · 2013-09-25 · 11 citations
article1st authorCorrespondingRecent developments in optimal experimental designs for functional magnetic resonance imaging
World Journal of Radiology · 2014-01-01 · 10 citations
reviewOpen access1st authorCorrespondingFunctional magnetic resonance imaging (fMRI) is one of the leading brain mapping technologies for studying brain activity in response to mental stimuli. For neuroimaging studies utilizing this pioneering technology, there is a great demand of high-quality experimental designs that help to collect informative data to make precise and valid inference about brain functions. This paper provides a survey on recent developments in experimental designs for fMRI studies. We briefly introduce some analyt…
Universally optimal fMRI designs for comparing hemodynamic response functions
Statistica Sinica · 2014-02-20 · 9 citations
article1st authorCorresponding
Recent grants
Frequent coauthors
- 11 shared
Abhyuday Mandal
University of Georgia
- 11 shared
John Stufken
- 9 shared
Dibyen Majumdar
University of Illinois Chicago
- 6 shared
Frederick Kin Hing Phoa
Institute of Statistical Science, Academia Sinica
- 4 shared
Ching-Shui Cheng
University of California, Berkeley
- 4 shared
Yuan-Lung Lin
Institute of Statistical Science, Academia Sinica
- 3 shared
Kamlesh Jangid
Agharkar Research Institute
- 2 shared
Rong Pan
Education
- 2009
Ph.D.
University of Georgia
- 1999
M.S.
National Central University, Taiwan
- 1997
B.S.
National Central University, Taiwan
Awards & honors
- CAREER: New Developments on Experimental Designs for Pioneer…
- RTG: Data-Oriented Mathematical and Statistical Sciences. Co…
- Design of Experiments with Dynamic Responses. Co-PI, NSF-CMM…
- Pragmatic Strategies for Designing Complex Multi-Response St…
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