Formal name: Prof.dr. J. van den Berg
Function: Scientific Staff Member
Telephone: +31(0)20 592 4088
Research groups: Stochastics
Van den Berg's research involves the rigorous mathematical treatment of random spatial processes.
Recent work by Van den Berg includes the extension of classical sharp-transition results in percolation to a large class of dependent models including the well-known two-dimensional contact process (versions of which serve as models of vegetation patterns).
Further, Van den Berg and his PhD student Kiss generalized a well-known result in first-passage percolation by Benjamini, Kalai and Schramm.
Van den Berg, in cooperation with other researchers, also obtained new results for mathematical models of forest-fires (and related processes which are believed to exhibit self-organized criticality), invasion percolation, frozen percolation and other growth models.
Moreover, new correlation-like inequalities of a combinatorial nature were obtained.
|2013||Scientific staff member PNA2 - Probability and Stochastic Networks|
|2013 -||Scientific staff member ST - Stochastics|
|2003 -||Full professor VU University Amsterdam|
|1990 - 1991||Postdoctoral Fellowship Cornell University|
|1988 - 2012||Scientific staff member PNA2 - Probability and Stochastic Networks|
|1986 - 1988||System engineer Philips Telecommunication and Data Systems|
|1985 - 1986||Postdoc at IMA, University of Minnesota|
Selected Academic Activities
|2012 -||Associate editor Journal: Annals of Probability|
|2010||Co-organizer Technische Universiteit Eindhoven - [TU/e] - ESF Conference|
|J. van den Berg, Demeter Kiss. Sublinearity of the travel-time variance for dependent first passage percolation. Annals of Probability 40, 743–764, 2012.|
|J. van den Berg, B. de Lima, P. Nolin. A percolation process on the square lattice where large finite clusters are frozen. Random Structures and Algorithms, DOI: 10.1002/rsa.20375, 2011.|
|J. van den Berg. Sharpness of the percolation transition in the two-dimensional contact process. Annals of Applied Probability 21, 374–395, 2011.|