Summer School on Operational Research and Applications
Summer School on Operations Research and Applications, ORA 2018
Higher School of Economics, Nizhny Novgorod.
The Summer School on Operational Research and Applications will take place on March 05-07, 2018 in Nizhny Novgorod, Russia. The school is organized by
the Laboratory of Algorithms and Technologies for Networks Analysis and Faculty of Informatics, Mathematics and Computer Science of the National Research University Higher School of Economics, Nizhny Novgorod.
The main topics of the school are related to practical algorithms in logistics, transportation and traffic management, scheduling, decision science, and stochastic programming.
The school is hosted by the National Research University Higher School of Economics in Nizhny Novgorod (Room 209, 136 Rodionova Str). The school follows the tradition of previous summer schools on operational research and applications 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017:
Summer school 2012
Summer school 2013
Summer school 2014
Summer school 2015
The school is organized for last-year bachelor, master and PhD students. To attend the school as a participant you must register before February 25, 2018. Students are also encouraged to present the recent results of their research related to the topics of the summer school.
If you have any questions, please do not hesitate to contact us: dsirotkin@hse.ru, (Dmitriy Sirotkin).
Important Dates
Registration / Abstract submission February 25 / February 11
Notification acceptance: Ad hoc
Summer School: March 05-07, 2018
School lectures
Roman Belavkin, Middlesex University, UK,
Lecture 1: Entropy and phase transition in large graphs
Lecture 2: On the relation between Kantorovich's and Shannon's optimization problems
Didier Josselin, University of Avignon, Directeur de recherche CNRS, France
Lecture 1: The generalized center optimal location
Lecture 2: Radio-concentric networks: history, facets and spatial modeling
Alexander Lazarev, Institute of Control Sciences (IPU), Russian Academy of Science, HSE
Lecture 1: Constraint Programming and Applications
Lecture 2: Constraint Programming and Applications
Seminar: Constraint Programming and Applications
Nenad Mladenovic, Mathematical Institute, SANU, Belgrade, Serbia
Lecture 1: Less is more approach in optimization
Lecture 2: Comparative analysis of several quality functions for detecting communities in complex networks
Panos Pardalos, University of Florida, USA
Lecture: Smart /Green Manufacturing: Data Enabled Decision Making and Optimization Applications
Oleg Prokopyev, University of Pittsburg, USA and LATNA HSE,
Lecture 1: Bilevel linear and linear mixed integer programming: applications, complexity and algorithm
Lecture 2: Bilevel linear and linear mixed integer programming: applications, complexity and algorithm
Andrey Savchenko, LATNA HSE
Lecture: Image Recognition with Convolutional Neural Networks
Georgy Shevlyakov, Peter the Great St.Petersburg Polytechnic University,
Lecture 1 Robust Statistics: Ideas and Tools (Part 1)
Lecture 2 Robust Statistics: Ideas and Tools (Part 2)
Seminar: Detection of Outliers in the Data
Co-Chairs of the school
Panos M. Pardalos University of Florida and LATNA, HSE
Natalia Aseeva, HSE, Nizhny Novgorod
Program Committee
Fuad Aleskerov, NRU HSE
Mikhail Batsyn, NRU HSE
Fedor Fomin, Bergen University, Norway and St Petersburg department of Steklov Mathematical Institute
Valery Kalyagin, NRU HSE
Yury Kochetov, Russian Academy of Sciences, Novosibirsk
Petr Koldanov, NRU HSE
Valentina Kuskova, NRU HSE, Laboratory of Applied Network Research
Dmitry Malyshev, NRU HSE
Oleg Prokopyev, University of Pittsburgh, USA
Andrey Savchenko, NRU HSE
Andrey Raigorodski, Moscow Institute of Physics and Technology, Moscow State University, Yandex
Nikolay Zolotykh, Lobachevsky State University, Nizhny Novgorod
Local Organizers
Ilya Bychkov
Ivan Grechikhin
Dmitry Gribanov
Sergey Ketkov
Timur Medvedev
Dmitry Mokeev
Alexey Nikolaev
Alexander Ponomarenko
Alexander Rassadin
Sergey Slashchinin
Dmitry Sirotkin
Irina Utkina
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