Spring School on Optimization and Data Science

Dear colleagues!

We are happy to announce that the COST Action TD1207 on "Mathematical Optimization in Decision Support Systems for Efficient and Robust Energy Networks", http://www.energy-opt.eu/ will be organizing a

Spring School on Optimization and Data Science

Date: March 13-17, 2017

Location: Novi Sad, Serbia

Website: http://www.optdata-springschool.com

Main organizers:

Dr. Milena Petković, Dr. Željko Kanović, Prof. Dr. Zoran Jeličić

Faculty of Technical Sciences, University of Novi Sad

Dr. Ambros Gleixner

Zuse Institute Berlin


List of Speakers:

Dr. Utz-Uwe Haus, Research Scientist, Cray EMEA Research Labs

Dr. Ambros Gleixner, Head of Research Group Mathematical Optimization Methods, Zuse Institute Berlin

 Dr. Željko Kanović, Assistant Professor, Faculty of Technical Sciences, Novi Sad

Dr. Daniel Hulme, Founder and CEO of SATALIA

Prof. Dr. Filip Kulić, Full Professor, Faculty of Technical Sciences, Novi Sad

Prof. Dr. Zoran Jeličić, Full Professor, Faculty of Technical Sciences, Novi Sad

Dr. Milena Petković, Assistant Professor, Faculty of Technical Sciences, Novi Sad

Dr. Milan Rapaić, Associate Professor, Faculty of Technical Sciences, Novi Sad

Dr. Philip Hungerländer, Assistant Professor, University of Klagenfurt, Austria

Prof. Dr. Maria Pia Fanti, Full Professor, Politecnico di Bari

Dr. Tim Conrad, Assistant Professor, Freie Universität Berlin

Dr Robert Gower, Post-doctoral Laureate, Departement d'Informatique de l'Ecole Normale Superieure, Paris

Prof. Dr. Bernd Bischl, Full Professor, Ludwig-Maximilians-Universität München

Stanley Schade, Research Scientist, Zuse Institute Berlin

Gregor Hendel, Research Scientist, Zuse Institute Berlin

Dr. Nataša Đurđevac Conrad, Postdoctoral Researcher, Freie Universität Berlin


Over the last years, we have seen increased interaction between the fields of optimization and machine learning both due to its theoretical appeal and its practical relevance.  Optimization algorithms are a crucial ingredient in many machine learning techniques and, vice versa, machine learning has been used to improve the performance of optimization algorithms.

The training school aims to equip students with both theoretical insight into state-of-the-art algorithms and hands-on programming experience.

Novi Sad is located at the beautiful Danube, on the intersection of the most important roads, near the mountain of Fruška Gora with 17 culturally and historically significant monasteries, and it is surrounded by typical Vojvodinian ranches. In addition, there are 17th-century Petrovaradin Fortress, appealing old city center with exceedingly pleasant pedestrian zone, numerous museums, prestigious Novi Sad Fair, as well as many world famous festivals and events. It can be easily reached by air travel via Belgrade Airport, and by train or car.

************************************************** !!!  NEW !!! **************************************************

Travel agency "Magelan" is now our partner in Spring School organization. You can contact them at http://incoming.magelantravel.rs/reservation-form-novi-sad-spring-school-optimization-data-science/ where you can fill in reservation form for Airport transfer and / or accommodation in Novi Sad. Also feel free to contact them for any additional information!


Registration is FREE and closes on Monday, February 20th or when all available places are filled.




Looking forward to welcoming you in Novi Sad in March!

Faculty of Technical Sciences | FTN - Novi Sad, Serbia