Guests & Lectures

The program aims at attracting the very best students from Austria and abroad. Vienna has already a strong reputation in Algorithms, Optimization and Operations Research and we expect a tough competition for the PhD positions in this program. The collaboration of important research institutions in the Vienna area – in addition to the collaboration of 3 faculties (Economics, Mathematics and Computer Science) within the University of Vienna is unique in its dimension and scope.

The lectures given by our guest professors are scheduled in the regular program/PhD curricula of the particpating institutions and are open to all students. This extends the teaching offer of the respective institutions and broadens their activities.

Photo Gallery

 Summer term 20118

Daniel Kuhn - École polytechnique fédérale de Lausanne (EPFL), Switzerland
March 13-23, 2018
Distributionally Robust Optimization

 

Alexander Shapiro - Georgia Tech, USA
June 18-30, 2018
Stochastic Optimzation

 Winter term 2017/18

Luis Vicente - Universidade de Coimbra, Portugal
November 27 - December 1, 2017
Derivative-Free Optimization: Basic Principles and State of the Art

 

Claudia Sagastizabal - Instituto de Matemática Pura e Aplicada, Brasil
January 8-19, 2018
Nonsmooth Optimzation and Variational Analysis

 Summer term 2017

David Williamson - Cornell University, USA
June 19-30, 2017
Spectral Graph Theory and Algorithms

 

Ruth Misener - Imperial College London, UK
May 8-19, 2017
Numerical Optimization Algorithms

 

Christian Blum - Artificial Intelligence Research Institute (IIIA), Spain
March 6-17, 2017
Metaheuristics and Hybrid Methods for Combinatorial Optimization

 Winter term 2016/17

Amir Beck, TECHNION - Israel Institute of Technology, Israel
October 17-21, 2016
Proximal-based Algorithms

 

Kurt Anstreicher, Iowa State University, USA
November 7-11, 2016
Convex Representations and Relaxations for Non-convex Quadratic Optimization

 

Jacek Gondzio, University of Edinburgh, UK
December 1-7, 2016
Interior Point Methods for Very Large Scale Optimization