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. To attend the school as a participant you must register before May 18, 2022. If you have any questions, please do not hesitate to contact us: email@example.com
Important Dates and Schedule:
Registration - May 18, 2022
Notification acceptance: Ad hoc
Summer School: May 26-28, 2022.
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
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
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
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
Yury Kochetov, Russian Academy of Sciences, Novosibirsk
Andrey Raigorodskii, Moscow Institute of Physics and Technology, Moscow State University, Yandex
Nikolay Zolotykh, Lobachevsky State University, Nizhny Novgorod
Panos M. Pardalos, University of Florida, USA
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