Oporto Meeting on Geometry, Topology and Physics   Oporto Meeting on Geometry, Topology and PhysicsOporto Meeting on
              Geometry, Topology and PhysicsOporto Meeting on
              Geometry, Topology and Physics
FCUP
              - Isntituto Superior Técnico Faculdade de Ciências da Universidade do Porto Instituto Superior Técnico  
XXIst Oporto Meeting on
Geometry, Topology and Physics
    4th-7th February, 2015
 

Main Speakers

Invited Speakers

Contributed Speakers

Main Speakers

The main speakers will each give a minicourse of three one-hour lectures.

Confirmed main speakers:
Dmitry Feichtner-Kozlov (Universitat Bremen, Germany)  (homepage)
Combinatorial Algebraic Topology and applications to Distributed Computing
Combinatorial algebraic topology is a field combining ideas and techniques from algebraic topology and discrete mathematics. Techniques from this field can be successfully applied in Theoretical Computer Science, in particular for analyzing distributed algorithms.
(pdf)
Michael Farber (Queen Mary, University of London, UK)  (homepage)
Topological Robotics
In Robotics, one associates with a given mechanical system its configuration space, that is, the space of all possible states of the system. One of the main directions of Topological Robotics is the study of the topology of configuration spaces of important mechanical systems, for instance of linkages of various kinds.
Piotr Sulkowski (Univ. Warsaw)   (homepage)
Random matrices, topological recursion, and applications of topology to biomolecules
Within the last few years we have witnessed great progress in the theory of random matrices. In particular a powerful formalism, topological recursion, has been developed, which has already found a lot of applications in various branches of mathematics (in particular algebraic geometry and knot theory), high energy and statistical physics, and even in some problems inspired by biology. In this mini-course I will discuss this formalism, present how one can use it to derive the classification of multi-stranded configurations of RNA chains, and briefly discuss a few other applications
Ulrich Bauer (TU München)  (homepage)
Topological Data Analysis
Persistent homology is an algebraic tool for measuring topological features of shapes and functions which can be used, for instance, for homology inference of shapes from point clouds. It provides a fundamental tool for Topological Data Analysis.
(pdf1; pdf2; pdf3)