The Division of Applied Mathematics

The mission of the Division of Applied Mathematics rests on research, education, and scholarship. We focus our research and teaching on a wide range of areas from applied and algorithmic problems to the study of fundamental mathematical questions. In particular, we explore the connections between mathematics and its applications in biology, chemistry, engineering, geosciences, neuroscience, physics and other disciplines at the research and educational levels. Our educational efforts are realized primarily through our graduate PhD program and our four undergraduate concentrations.  

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Professor Bjorn Sandstede receives Graduate School Faculty Award

Professor Sandstede was nominated by his graduate students and postdocs to receive the 2016-2017 Graduate School Faculty Award for Advising and Mentoring which was conferried to him on May 1st during the award's ceremony.  (Read full story.)

Powerful mathematical tools take the guesswork out of highly complex designs 

Super-cavitating hydrofoils are deployed during take off ensuring the development of a lift force balancing the vessel’s weight.Super-cavitating hydrofoils are deployed during take off ensuring the development of a lift force balancing the vessel’s weight.Researchers from Brown University, led by Professor George Karniadakis, have joined forces with other leading institutions to develop powerful mathematical tools which simplify and reduce the myriad of ambiguities and variables involved in the design of highly complex military vessels. (Read more.)

Upcoming Events

Collaborative Research in Computational Neuroscience 

The Collaborative Research in Computational Neuroscience (CRCNS) PI Meeting will be held June 14 - 16 in Providence, Rhode Island.  The meeting's purpose is to gather together those principal investigatoars  whose grants are funded by the CRCNS program to discuss their research.   (Read more.)

Short Course:  Model Order Reduction Methods

David Gottleb Memorial Lectureship

David Gottlieb Memorial Recital

Seminar on Stochastic Processes