Message from the Dean
I would like to extend a warm welcome to the website of the Division of Mathematical and Physical Sciences (MPS), one of four divisions in the School of Arts and Sciences (SAS), at Rutgers-New Brunswick. Despite the challenges posed by COVID-19, it is an exciting time for all the disciplines/departments within MPS, with a continuous stream of novel research results and findings, growing enrollments, and the development, constant improvement, and offering of cutting-edge educational programs. Our research addresses fundamental scientific inquiries, as well as important and practical societal challenges such as the battle against COVID-19. Our courses enroll a large number of students throughout Rutgers-New Brunswick, teaching fundamental knowledge and skills to students in majors outside of MPS, and training the next generation of teachers, researchers and professionals in Chemistry and Chemical Biology, Computer Science, Earth and Planetary Sciences, Mathematics, Physics and Astronomy, and Statistics.
I urge you to explore each of the individual units of MPS and I am sure that you will find a rich set of offerings and activities that will attract your interest and involvement, regardless of whether you are a student, parent, alumnus, or a visitor not yet connected to Rutgers/SAS/MPS.
With best wishes,
Thu D. Nguyen
Professor of Computer Science
Thu D. Nguyen, Division Dean and Professor of Computer Science, earned his PhD degree from the University of Washington, Seattle in 1999, MS degree from MIT in 1988, and BS degree from the University of California, Berkeley in 1986. He joined Rutgers University in 1999, and served as Chair of Computer Science 2017-2019 and as Associate Chair 2012-2017. As Division Dean, he oversees the departments and centers within the division and assists the Executive Dean in the strategic planning and decision making processes of the School of Arts and Sciences. In addition, he continues his research program, leading two groups of researchers exploring the areas of computer science education and the design of efficient, dependable, and sustainable computing systems.