Professor Michael Farber
Professor of Mathematics
Email: m.farber@qmul.ac.ukTelephone: +44 (0)20 7882 5451Room Number: Mathematical Sciences Building, Room: MB-527
Profile
Michael Farber is Professor of Mathematics at the School of Mathematical Sciences, Queen Mary, University of London.
Michael Farber is the director of Institute for Applied Data Science (IADS) and a Turing Fellow, he serves as the Turing University Lead for Queen Mary. Prior to Queen Mary, M. Farber held professorships at the Universities of Warwick, Durham and Tel Aviv. Michael Farber obtained his PhD and D.Sc. degrees in the USSR.
His research interests focus on applied and computational topology, topological robotics, applications of topology to statistics and computer science. M.Farber is currently involved in several collaborations: using topological methods in distributed computing in computer science, machine learning techniques in genomics and cancer research and using methods of stochastic topology for modelling brain connectivity.
Michael Farber is the author of several monographs.
M. Farber was awarded many research grants, among them the Royal Society Wolfson Research Merit Award. His current research project "Probabilistic and Deterministic Topology" is supported by the Leverhulme Trust.
PhD students: Lewin Strauss, Gabriele Beltramo, Lewis Mead.
PDRA: Dr Wajid Mannan.
Research
Publications
Preprints:
M. Farber, L. Mead and T. Nowik,
"Random simplicial complexes, duality and the critical dimension".
Preprint 2019.
M. Farber and J. Oprea,
"On higher topological complexity of aspherical spaces",
preprint 2019.
Eric Goubault, Aurelien Sagnier, Michael Farber,
"Directed topological complexity", preprint 2018.
M. Farber, M. Grant, G. Lupton and J. Oprea,
"An Upper Bound for Topological Complexity", 2018, arXiv:1807.03994.
To appear in "Topology and its applications".
M. Farber, M. Grant, G. Lupton and J. Oprea,
"Bredon cohomology and robot motion planning",
preprint arXiv:1711.10132, To appear in Algebraic and Geometric Topology
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(publicationYear). Random simplicial complexes in the medial regime Topology and its Applications.
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(2019). Higher topological complexity of aspherical spaces Topology and its Applications.
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(2019). An upper bound for topological complexity Topology and its Applications.
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(2019). Bredon cohomology and robot motion planning Algebraic and Geometric Topology.
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(2019). Random simplicial complexes, duality and the critical dimension Journal of Topology and Analysis.
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(2018). On the topological complexity of aspherical spaces Journal of Topology and Analysis.
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(2017). Large random simplicial complexes, III the critical dimension Journal of Knot Theory and its Ramifications.
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(2017). Configuration spaces and robot motion planning algorithms journal.
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(2016). Correction to Our Article “Topology of Random 2-Complexes” Published in DCG 47 (2012), pp. 117–149 Discrete and Computational Geometry.
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(2016). Large random simplicial complexes, II; the fundamental group Journal of Topology and Analysis.
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(2015). Geometry and topology of random 2-complexes Israel Journal of Mathematics.
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(2015). Large random simplicial complexes, I Journal of Topology and Analysis.
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(2015). Fundamental groups of clique complexes of random graphs Transactions of the London Mathematical Society.
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(2015). The asphericity of random 2-dimensional complexes Random Structures & Algorithms.
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(2012). The topology of spaces of polygons Transactions of the American Mathematical Society.