Dr. Yuming Chen

Yuming Chen, Wilfrid Laurier University, Canada

Periodic solutions and global attractor of a class of delay differential equations

Yuming Chen

Yuming ChenMathematics Faculty - WLU
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Dr. Yuming Chen

Office: Bricker Academic Building, Room 541Tel: 519-884-0710 Ext. 2309Fax: 519-884-9738

Photo of Dr. Yuming Chen Dr. Yuming Chen received his Ph.D. in Applied Mathematics from York University, and is currently an Assistant Professor in the Department of Mathematics at Wilfrid Laurier University. Dr. Chen's research focuses on the use of mathematics to understand biology and to develop new technologies. For example, his research can help characterize neurological diseases and create new technologies for memory storage and pattern recognition.

Yuming Chen
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Dr. Yuming Chen

Associate Professor, Mathematics

Yuming Chen
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Dr. Yuming Chen

Associate Professor, Mathematics
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thanks message for Yuming Chen

Dr. Yuming Chen
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Dr. Yuming Chen
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Yuming Chen builds mathematical models that could track a flu epidemic
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Dr. Yuming ChenAssistant Professor, Department of Mathematics(519) 884-0710 ext. 2309

WATERLOO - A researcher at Wilfrid Laurier University has received one of the first Early Researcher Award (ERA) grants under a program just announced by the Ontario government.

Yuming Chen, assistant professor with the department of mathematics, is receiving $150,000 to support research into mathematical modelling that incorporates time delays.The research has a number of potential applications in technology and medicine, including the tracking of flu epidemics.

"Dr. Chen is a highly productive researcher and an example of the quality of researchers that the faculty of science has been able to recruit in the past five years," says Arthur Szabo, the dean of science.
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"At this early stage of his career, Dr. Chen is making an important impact on his field.As well, he is dedicated to being an excellent teacher and to participating in the Laurier community."

Chen's main research interest is in the dynamics of differential equations (or changes to a unique set of variables) that arise from neural networks and population biology, where the future of any equation is influenced by both its current state and its history.

"The goal of the work is to build more realistic mathematical models to make better predictions," says Chen.
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"Delays are important for representing resource generation times, maturation periods, feeding times and reaction times for taking account of age structure in the population," says Chen.
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A PhD graduate of York University, Chen has been a Laurier faculty member for the past five years and has published almost 40 peer-reviewed journal articles.He currently has research funding from the Natural Sciences and Engineering Research Council of Canada totaling $65,000.