Dr. Bernhard Haeupler completed his thesis
“Probabilistic Methods for Distributed Information Dissemination”
on June 2013 under the co-supervision of Prof. Jonathan Kelner, Muriel
Médard, and David Karger at MIT. Bernhard Haeupler’s thesis provides a
sweeping multidisciplinary study of information dissemination in a network,
making fundamental contributions to distributed computing and its
connections to theoretical computer science and information theory. The
thesis addresses an impressive list of topics to which Dr. Bernhard Haeupler
contributed significantly. These topics include the design and analysis of
gossip protocols overcoming the dependency to connectivity parameters such
as conductance, the introduction of a completely new technique for analyzing
the performance of network coding gossip algorithms, and new randomized
protocols for multi-hop radio networks. These are just a few samples of the
very many important contributions of Dr. Bernhard Haeupler’s thesis, and the
work in this dissertation is distinguished by an impressive combination of
creativity, breadth, and technical skill.
The award is sponsored jointly by the ACM Symposium on Principles of
Distributed Computing (PODC) and the EATCS Symposium on Distributed
Computing (DISC). This award is presented annually, with the presentation
taking place alternately at PODC and DISC. This year 2014 it will be
presented at DISC, to be held at Austin, Texas, October 12-15, 2014.
Distributed Computing Doctoral Dissertation Award Committee, 2014:
Yehuda Afek, Tel-Aviv University, Israel James Aspnes, Yale University, USA
Pierre Fraigniaud (chair), CNRS and University Paris Diderot, France Dariusz
Kowalski, University of Liverpool, UK Gadi Taubenfeld, IDC Herzliya, Israel
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