Imperial College London

ProfessorMichaelBronstein

Faculty of EngineeringDepartment of Computing

Chair in Machine Learning and Pattern Recognition
 
 
 
//

Contact

 

m.bronstein Website

 
 
//

Location

 

569Huxley BuildingSouth Kensington Campus

//

Summary

 

Summary

Michael Bronstein joined the Department of Computing as Professor in 2018. He has served as a professor at USI Lugano, Switzerland since 2010 and held visiting positions at Stanford, Harvard, MIT, TUM, and Tel Aviv University. Michael received his PhD with distinction from the Technion (Israel Institute of Technology) in 2007. His main expertise is in theoretical and computational geometric methods for data analysis, and his research encompasses a broad spectrum of applications ranging from machine learning, computer vision, and pattern recognition to geometry processing, computer graphics, and imaging. Michael has authored over 150 papers, the book Numerical geometry of non-rigid shapes (Springer 2008), and holds over 30 granted patents. He was awarded four ERC grants, two Google Faculty Research awards, Amazon ML Research award, Facebook Computational Social Science award, Dalle Molle prize, and the Royal Society Wolfson Merit award. During 2017-2018 he was a fellow at the Radcliffe Institute for Advanced Study at Harvard University and since 2017, he is a Rudolf Diesel fellow at TU Munich. He was invited as a Young Scientist to the World Economic Forum, an honor bestowed on forty world’s leading scientists under the age of forty. Michael is a Fellow of IEEE and IAPR, alumnus of the Technion Excellence Program and the Academy of Achievement, ACM Distinguished Speaker, and a member of the Young Academy of Europe. In addition to academic work, Michael's industrial experience includes technological leadership in multiple startup companies, including Novafora, Videocites, and Invision (acquired by Intel in 2012), and Fabula AI (acquired by Twitter in 2019). Following the acquisition of Fabula, he joined Twitter as Head of Graph Learning Research. He previously served as Principal Engineer at Intel Perceptual Computing (2012-2019) and was one of the key developers of the Intel RealSense 3D camera technology. 

Education

  • Ph.D. (with distinction) in Computer Science, Technion 2007
  • M.Sc. (summa cum laude) in Computer Science, Technion 2005
  • B.Sc. (summa cum laude) in Electrical Engineering, Technion 2002

academic Positions

  • Radcliffe fellow, Institute for Advanced Study, Harvard University (2017-2018)
  • Research affiliate, CSAIL, MIT (2017-2018)
  • Visiting scholar, SEAS, Harvard University (2017-2018)
  • Rudolf Diesel industrial fellow, Institute for Advanced Study, TUM (2017-)
  • Visiting professor, Tel Aviv University (2015-2017)
  • Professor, USI Lugano (2010-)
  • Visiting lecturer, Stanford University (2008-2009)

industrial positions

  • Head of Graph Learning Research, Twitter (2019-)
  • Co-founder, Chief Scientist, Fabula AI (2018-2019)
  • Co-founder, Technical advisor, Videocites (2014-)
  • Principal Engineer, Intel (2012-2019)
  • Principal technologist, Invision (2009-2012)
  • Co-founder, VP Technology, Novafora (2004-2009)

Publications

Journals

Wang Y, Sun Y, Liu Z, et al., 2019, Dynamic graph Cnn for learning on point clouds, Acm Transactions on Graphics, Vol:38, ISSN:0730-0301

Rodolà E, Lähner Z, Bronstein AM, et al., 2019, Functional Maps Representation On Product Manifolds, Computer Graphics Forum, ISSN:0167-7055

Conference

Choma N, Monti F, Gerhardt L, et al., 2019, Graph Neural Networks for IceCube Signal Classification, Pages:386-391

Svoboda J, Masci J, Monti F, et al., 2019, Peernets: Exploiting peer wisdom against adversarial attacks

Litany O, Bronstein A, Bronstein M, et al., 2018, Deformable Shape Completion with Graph Convolutional Autoencoders, Pages:1886-1895, ISSN:1063-6919

More Publications