Ming-Hung Kao

Ming-Hung Kao is an Associate Professor at Arizona State University (ASU), affiliated with the School of Mathematical and Statistical Sciences and the School of Life Sciences. His research focuses on optimal experimental design methodologies, particularly in functional neuroimaging and statistical theory. He holds a Ph.D. in Statistics from the University of Georgia (2009), an M.S. from National Central University, Taiwan (1999), and a B.S. in Mathematics from the same institution (1997).

Education

• Ph.D. Statistics, University of Georgia (2009)
• M.S. Statistics, National Central University, Taiwan (1999)
• B.S. Mathematics, National Central University, Taiwan (1997)

Research Interests

Dr. Kao specializes in developing statistical theory and computational methods for optimal experimental designs. His work emphasizes minimizing data collection costs while maximizing inference precision, with applications in functional neuroimaging. Recent projects focus on high-quality designs for brain mapping technologies and mixed response models.

Publications

His publications span journals like Journal of Statistical Theory and Practice, NeuroImage, and Computational Statistics & Data Analysis. Key themes include optimal fMRI designs, mixed responses, and functional data analysis.

Awards

• NSF CAREER Award (2014–2020)
• IMS Travel Award
• ASA Student Paper Award

Grants & Advising

He leads NSF-funded projects like CAREER: New Developments on Experimental Designs for Pioneering Functional Brain Imaging Technologies. He has advised over 15 graduate students, including PhD candidates in statistics and applied mathematics.

Labs & Collaborations

His work integrates interdisciplinary approaches, collaborating with neuroscientists and statisticians to advance experimental design in functional brain imaging.