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Regular version of the site

XIV Summer School on Operations Research, Data, and Decision Making ORA 2022


XIV Summer School on Operations Research, Data, and Decision Making, ORA 2022, May 26-28, 2022.

Higher School of Economics, Nizhny Novgorod, Rodionova street 136

The Summer School on Operational Research, Data and Decision Making will take place on May 2022 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.

This year the school will be organized may 26-28, 2022 in distant format in Zoom.

Interested participants have to register (see below) and after acceptance we will send you the link for participation. 

The main topics of the school are related to practical algorithms in logistics, transportation and traffic management, scheduling, network and decision science, optimization and stochastic programming. The school follows the traditions of previous summer schools on operational research and applications 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021.

The school is organized for bachelor, master and PhD students. before May 18, 2022. If you have any questions, please do not hesitate to contact us: vkalyagin@hse.ru

Important Dates and Schedule:

- May 18, 2022

Notification acceptance: Ad hoc

Summer School: May 26-28, 2022.




School lecturers

Internationally recognized expert in operations research, data analysis and decision making will present their research fields emphasizing new theoretical approaches and practical applications as well.

Mikhail Batsyn, Lab LATNA HSE NN

Lecture. Tabu Search optimization algorithms

Abstract of Batsyn's lecture 

Lina Mallozzi, University of Naples Federico II, Naples, Italy

Lecture 1. Two-level optimization problems: existence results of solutions and approximate solutions
Lecture 2. Two-level optimization problems: some results in probabilistic approach

Abstracts of Mallozzi's lectures 

Giuseppe Nicosia, University of Catania, Italy

Lecture 1. Introduction to Deep Learning
Lecture 2. Artificial Neural Networks as Complex Networks - A Primer

Panos Pardalos, University of Florida, USA and HSE NN

Lecture. Computational  Approaches for Solving Systems of Nonlinear Equations

Abstract of Pardalos's lecture

Jun Pei, Hefei University of Technology, China

Lecture. When Platform Exploits the Advantage in Supply Chain: Change of Structure and Efficient Scheduling

Abstract of Jun Pei's lecture 

Summer School ORA 2022 will include student session, where students will present the results of their joint projects with INTEL company.

Co-Chairs of the school

Panos M. Pardalos, University of Florida, USA and LATNA, NRU HSE,

Natalia Aseeva, NRU 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

Alexander Koldanov, NRU HSE

Daria Maltseva,NRU HSE, Laboratory of Applied Network Research

Dmitriy Malyshev, NRU HSE

Andrey Raigorodskii, Moscow Institute of Physics and Technology, Moscow State University, Yandex 

Olga Razvenskaya, NRU HSE

Nikolay Zolotykh, Lobachevsky State University, Nizhny Novgorod

Andrey Savchenko, NRU HSE 

Organizing Committee

Panos M. Pardalos, University of Florida, USA

Natalia Aseeva, NRU HSE, Russia

Valery Kalyagin, NRU HSE, Russia

Timur Medvedev, NRU HSE, Russia

Olga Razvenskaya, NRU HSE, Russia


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