News

Thematic Programmes at the ESI in 2020

Published on Feb. 26, 2019, [View only this article]

The following thematic programmes at the ESI are scheduled for 2020:

March 2 – March 27, 2020: Chromatin Modeling: Integrating Mathematics, Physics, and Computation for Advances in Biology and Medicine
Organizers: Tamar Schlick (New York U), Christos N. Likos (U Vienna)

May 4 – June 26, 2020: Computational Uncertainty Quantification: Mathematical Foundations, Methodology & Data
Organizers: Clemens Heitzinger (TU Vienna), Fabio Nobile (EPF Lausanne), Rob Scheichl (U of Bath), Christoph Schwab (ETH Zurich), Sara van de Geer (ETH Zurich), Karen Willcox (MIT Bosten & ICES UT Austin)

August 17 – October 9, 2020: Higher Structures and Field Theory
Organizers: Anton Alekseev (U Geneve), Stefan Fredenhagen (U Vienna), Nicolai Reshetikhin (U.C. Berkeley), Thomas Strobl(U Lyon), Chenchang Zhu (U Göttingen) 

October 19 – November 13, 2020: Large Deviations, Extremes and Anomalous Transport in Non-equilibrium Systems
Organizers: Christoph Dellago (U Vienna), Satya N. Majumdar (U Paris-Sud, Orsay), David Mukamel (Weizmann Inst. of Science), Harald A. Posch (U Vienna), Grégory Schehr (U Paris-Sud, Orsay)

November 16 – December 11, 2020: Mathematical Methods for the Study of Self-organization in the Biological Sciences
Organizers: Pierre Degond (Imperial College London), Marie Doumic (Inria & LJLL, Sorbonne U), Anna Kicheva (IST Austria), Sara Merino-Aceituno (U Vienna), Christian Schmeiser (U Vienna)


Erwin Schrödinger Lecture, Dec 6, 2018: Monika Henzinger (U Vienna) "Dynamic Graph Algorithms: A Survey"

Published on Feb. 26, 2019, [View only this article]

On December 6, 2018 at 5 p.m. the ESI is going to host an Erwin Schrödinger Lecture, featuring Monika Henzinger, a professor of Computer Science at the University of Vienna and a former director of research at Google. She received a PhD from Princeton University in 1993 and subsequently held positions at Cornell University, Digital Equipment Corporation, the University of the Saarland and the École Polytechnique Fédérale in Lausanne. Monika Henzinger is the recipient of numerous grants and awards including an NSF Career Award, an honorary doctorate from the Technical University of Dortmund, as well as an ERC Advanced Grant. In her research, she focuses on combinatorial algorithms and data structure and their applications.

As usual, this Erwin Schroedinger Lecture is directed towards a general audience of mathematicians and physicists. In particular it is an intention of theses lectures to inform non-specalists and graduate students about recent developments and results in some area of mathematics or physics.

Abstract: Real-world graphs are huge and many of them change dynamically. Thus to compute properties of these graphs we need dynamic graph algorithms that efficiently maintain properties of dynamically changing graphs. We present the state-of-the-art in dynamic graph algorithms and explain some of the techniques that they use as well as recent progress in giving lower bounds for their running time.

Please visit the corresponding event page for more information.