Michael Bronstein#


Michael Huth
Membership Number:5291
Membership type:ORDINARY
Main Country of Residence:UNITED KINGDOM
Section:INFORMATICS
Elected:2020
Twitter:@mmbronstein
Linkedin:https://www.linkedin.com/in/mbronstein/
Homepage: https://www.imperial.ac.uk/people/m.bronstein



Present and Previous Positions
  • 2020 - present ML Lead, Project CETI
  • 2019 - present Head of Graph Learning Research, Twitter, UK
  • 2018 - present Professor & Chair in Machine Learning and Pattern Recognition, Department of Computing, Imperial College London, UK
  • 2018 - 2019 Founder & Chief Scientist, Fabula AI, UK
  • 2017 - 2018 Research affiliate, Computer Science and Artificial Intelligence Lab (CSAIL), MIT, USA
  • 2017 - 2018 Visiting scholar, School of Engineering and Applied Science (SEAS), Harvard University, USA
  • 2012 - 2019 Principal Engineer, Intel, Israel
  • 2015 - 2017 Visiting Associate Professor, Department of Applied Mathematics, Tel Aviv University, Israel
  • 2010 - present (on leave since 2019) Assistant / Associate / Full Professor, Institute for Computational Science, University of Lugano, Switzerland
  • 2008 - 2009 Visiting Lecturer, Department of Computer Science, Stanford University, USA

Fields of Scholarship
  • Geometric machine learning and deep learning on graphs, manifolds, and point clouds
  • 3D shape analysis using spectral and metric geometric methods
  • 3D depth sensors
  • Computer graphics
  • Geometry processing
  • Computer vision and pattern recognition
  • Similarity sensitive hashing

Honours and Awards
  • 2020 Machine Learning Lead, TED Audacious Project CETI
  • 2020 Royal Academy of Engineering Silver Medal
  • 2019 Fellow, European Laboratory for Learning and Intelligent Systems (ELLIS)
  • 2018 Prix de la Fondation Dalle Molle
  • 2018 Royal Society Wolfson Research Merit Award
  • 2018 Fellow, Institute of Electrical and Electronics Engineers (IEEE) for "contributions to acquisition, processing, and analysis of geometric data"
  • 2018 Fellow, International Association for Pattern Recognition (IAPR) for "contributions to 3D data acquisition, processing, representation and analysis"
  • 2017 Radcliffe Fellow, Institute for Advanced Study, Harvard University, USA
  • 2017 Rudolf Diesel Industrial Fellow, Institute for Advanced Study, TU Munich, Germany
  • 2016 ERC Consolidator Grant
  • 2015 ACM Distinguished Speaker
  • 2015 Member, Global Young Academy
  • 2015 Member, Young Academy of Europe
  • 2014 Young Scientist, World Economic Forum
  • 2012 ERC Starting Grant
  • 2003 Honorary Student Delegate, International Achievement Summit
  • 2003 Hershel Rich Technion Innovation Award
  • 2002 Alumnus, Technion Excellence Program

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