Yang Kuang has been a Professor of mathematics at Arizona State University (ASU) since 1988. He received his B.Sc. from the University of Science and Technology of China in 1984 and his Ph.D. degree in mathematics in 1988 from the University of Alberta. Dr. Kuang has been the author or editor of more than 190 refereed journal publications and 12 books and is the Founder and Editor of Mathematical Biosciences and Engineering. He has directed 25 Ph.D. dissertations in mathematical and computational biology and several large-scale multidisciplinary research projects in the U.S. He is well known for his efforts in developing practical theories for the study of delay differential equation models and models incorporating resource quality in biology and medicine. His recent research interests focus on the formulation and validation of scientifically well-grounded and computationally tractable mathematical models to describe the rich and intriguing dynamics of various within-host diseases and their treatments. These models have the potential to speed up much-needed personalized medicine development.
Research Keywords & Expertise
Applied Mathematics
mathematical models
Delay differential equ...
Mathematical and compu...
Fingerprints
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mathematical models
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Delay differential equations
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Mathematical and computational biology and medicine
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Applied Mathematics
Short Biography
Yang Kuang has been a Professor of mathematics at Arizona State University (ASU) since 1988. He received his B.Sc. from the University of Science and Technology of China in 1984 and his Ph.D. degree in mathematics in 1988 from the University of Alberta. Dr. Kuang has been the author or editor of more than 190 refereed journal publications and 12 books and is the Founder and Editor of Mathematical Biosciences and Engineering. He has directed 25 Ph.D. dissertations in mathematical and computational biology and several large-scale multidisciplinary research projects in the U.S. He is well known for his efforts in developing practical theories for the study of delay differential equation models and models incorporating resource quality in biology and medicine. His recent research interests focus on the formulation and validation of scientifically well-grounded and computationally tractable mathematical models to describe the rich and intriguing dynamics of various within-host diseases and their treatments. These models have the potential to speed up much-needed personalized medicine development.
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