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Seminars, Colloquia, and Conferences

Seminars

Algebra, Geometry and Number Theory
Seminar topics include algebra, algebraic geometry, differential geometry, number theory and representation theory, and seminar speakers include students and faculty from both inside and outside the department. See the seminar's web page for schedule information.
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Applied Math
This seminar hosts internal and external speakers on topics related to applied and computational mathematics. All are welcome and graduate students are encouraged to present their current research in applied math.
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Dynamics
Dynamical Systems at Tufts includes topics in pure and applied mathematics. Areas of current interest in the seminar include hyperbolicity, geometrically motivated dynamics, and some aspects of low-dimensional dynamics. In the 2014-2015 school year, the dynamics seminar meets on Fridays at 1:30pm in BP 1.
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Geometric Group Theory and Topology
This weekly seminar meets on Tuesdays afternoons, usually hosting outside speakers. We have strong local participation by faculty and graduate students, and we often have visitors from other area universities---especially Brandeis, but also BC, Harvard, and MIT.
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Probability
Graduate students in probability engage in weekly educational/working seminars in collaboration with faculty, each student focused on different aspects of a single major project. The group environment fosters critical, analytical, presentation, discussion, and problem solving skills. This synergistic method is enjoyable while providing students broader expertise and a supportive career-long peer group.
Contact Professor Hahn >

Schlumberger-Tufts Computational and Applied Math
The seminar is jointly hosted by Tufts and the Schlumberger Doll Research company; it meets on average once a month, usually on a Tuesday or Thursday in the late afternoon. The location alternates between Tufts and the Schlumberger office near MIT. A major focus of the seminar is on the mathematical and computational aspects of remote sensing. A partial list of the topics of interest includes: numerical solution of large scale PDEs (a.k.a. forward problems); theory and numerical methods of inverse and ill-posed problems; imaging; related problems in numerical linear algebra, approximation theory, optimization and model reduction.
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