Süli Endre

Endre Süli is a Professor of Numerical Analysis at the University of Oxford, affiliated with Worcester College and Linacre College. He has held various academic roles since 1985, including Fellowships and Tutorships in Mathematics.

• University Education:
  • B.Sc. in Mathematics, University of Belgrade (1974-1978)
  • M.Sc. in Mathematics, University of Belgrade (1978-1980)
  • Ph.D. in Mathematics, University of Belgrade (1985)
  • M.A., University of Oxford (1985)
  • British Council Visiting Student, Reading University and University of Oxford (1983/84)

Süli's research focuses on numerical methods for partial differential equations (PDEs), with expertise in finite element methods, adaptive algorithms, error control, and computational modeling of fractures and non-Newtonian fluids. His work bridges mathematical theory and practical applications in fluid dynamics and material science.

His recent publications emphasize finite element approximations, nonlinear PDEs, and stochastic models for polymer dynamics. Themes include multiscale methods, tensor-sparsity for high-dimensional problems, and compressible flow simulations.

• Scientific Awards:
  • Fellow of the Royal Society (2021)
  • London Mathematical Society Naylor Prize and Lectureship (2021)
  • Pro Urbe Prize, City of Subotica (2021)
  • SIAM Fellow (2016)
  • Member, Academia Europaea (2020)
  • Foreign Member, Serbian National Academy of Sciences and Arts (2009)
  • IMA Service Award (2011)
  • Fellow, European Academy of Sciences (EurASc) (2010)
  • Fellow, Institute of Mathematics and its Applications (2007)
  • London Mathematical Society/New Zealand Mathematical Society Forder Lecturer (2015)
  • Professor Hospitus, Charles University, Prague (2012)
  • Distinguished Visiting Chair Professor, Shanghai Jiao Tong University (2013)
  • Invited Speaker, International Congress of Mathematicians, Madrid (2006)

Süli has supervised numerous research projects and held visiting appointments globally. His contributions to numerical analysis span foundational work on error estimation, nonlinear stability, and advanced computational frameworks for complex physical systems.