Speaker: Samuel Punshon-Smith (University of Maryland) -

Abstract: http://www.terpconnect.umd.edu/~lvrmr/2017-2018-F/Classes/RIT.shtml

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Speaker: Richard Wentworth (UMCP) -

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Speaker: Brad Lackey (University of Maryland) - http://www.umiacs.umd.edu/~bclackey

Abstract: I will continue with a rapid introduction to the foundations of quantum theory, focusing on bipartite systems and measurement.

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Speaker: Bruno de MendonĂ§a Braga (York University) - https://sites.google.com/site/demendoncabraga/home

Abstract: TBA

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Speaker: Klaus Kroencke (Hambrug) -

Abstract: We prove that if an ALE Ricci-flat manifold (M,g) is linearly stable and integrable, it is dynamically stable under Ricci flow, i.e. any Ricci flow starting close to g exists for all time and converges modulo diffeomorphism to an ALE Ricci-flat metric close to g. By adapting Tian's approach in the closed case, we show that integrability holds for ALE Calabi-Yau manifolds which implies that they are dynamically stable. This is joint work with Alix Deruelle.

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Speaker: Prof. Markus Kirkilionis (Warwick Mathematics Institute, University of Warwick) - http://homepages.warwick.ac.uk/~mascac/

Abstract: In this talk I present a general framework to model cell-cycle structured

populations living in a chemostat. The main examples are E. coli, or yeast, both

model organisms which have been intensively investigated to understand cell-cycle controls. In this simple case the cells' cell cycle influence each other only by the level of nutrients found in the culture medium. Otherwise the cell cycle in each cell behaves autonomously. As the cell-cycle depends on many cell-internal biochemical concentrations, most importantly on the cyclin protein family, the dynamical system describing the internal cell dynamics can be of arbitrary high dimension, making the model extremely complex. In order to investigate the model behaviour we decided not to use numerical time-integration, but numerical continuation and bifurcation techniques. The respective numerical algorithm is again of immense complexity, and uses a cell cohort discretisation. The plan is to refine the model in future, most importantly bringing it to a tissue level in order to describe cancer dynamics.

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Speaker: (CMNS Dean's Office) -

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Speaker: Jaideep Pathak (IREAP, UMD)

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Speaker: Ian Teixeira (UMCP)

Abstract: We will start on Tong's notes on the quantum Hall effect (QHE).

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