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Regular version of the site

XI Summer School on Operations Research, Data, and Decision Making ORA 2019


XI Summer School on Operations Research, Data, and Decision Making,
ORA 2019, May 21-23, 2019.
Higher School of Economics, Nizhny Novgorod, Rodionova street 136, room 104

Higher School of Economics, Nizhny Novgorod.


The Summer School on Operational Research, Data  and Decision Making will take place on May 21-23, 2019 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. The school follows the tradition of previous summer schools on operational research and applications 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018:

Summer school 2012
Summer school 2013
Summer school 2014
Summer school 2015
Summer school 2016
Summer school 2017
Summer school 2018


The school is organized for last-year bachelor, master and PhD students. To attend the school as a participant you must register before May 5, 2019. 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: 


Important Dates

Registration / Abstract submission  May 5 / April 15

Notification acceptance: Ad hoc

Summer School: May 21-23, 2019


School program




School  lectures


Co-Chairs of the school

Panos M. Pardalos University of Florida and LATNA, HSE
Natalia Aseeva
, HSE, Nizhny Novgorod

School  lecturers

Alexander Dolgui, IMT Atlantique, Nantes, France,

Combinatorial design of manufacturing systems: new approaches and real life applications 

Replenishment planning in assembly systems under lead time uncertainty 

Simone Minucci
Inverse Problems in Electromagnetism: Applications to Plasma Control in Nuclear Fusion Devices (PDF, 12.46 Mb) 


Mario Guarracino,

Supervised and unsupervised classification of networks


Petr Koldanov, HSE NN,
Introduction to multiple hypotheses testing


Alexander Lazarev, Institute of Control Sciences of Russian Academy of Science, Moscow,
Approximation of objective function of the scheduling problem

Metrics and approximations in Scheduling Theory



Nenad Mladenovic, Emirates College of Technologies, Abu Dhabi, UAE,

Variable neighborhood programming for symbolic regression

Review of Basic Local Searches for Solving the Minimum Sum-of-Squares Clustering Problem


Panos Pardalos, University of Florida USA and HSE,
Optimization and Data Sciences in Energy Networks


Oleg Prokopyev, University of Pittsburg, USA and HSE,
Fractional 0–1 Programming: Applications, Complexity, Algorithms and Recent Advances (PDF, 58 Kb)


Yakov Zinder, University of Technology, Sydney, Australia,
Scheduling with Limited Storage: computational complexity, exact and approximation algorithms, polynomial-time approximation schemes

Program Committee
Fuad Aleskerov

Mikhail BatsynNRU HSE

Fedor FominBergen University, Norway and St Petersburg department of Steklov Mathematical Institute

Valery KalyaginNRU HSE

Yury KochetovRussian Academy of Sciences, Novosibirsk

Petr KoldanovNRU HSE
Valentina KuskovaNRU HSELaboratory of Applied Network Research
Dmitry MalyshevNRU HSE

Oleg ProkopyevUniversity of Pittsburgh, USA

Andrey Savchenko, NRU HSE

Andrey RaigorodskiMoscow Institute of Physics and TechnologyMoscow State UniversityYandex 

Nikolay ZolotykhLobachevsky State University, Nizhny Novgorod



Local Organizers

Artem Aroslankin
Evgeny Burashnikov
Mikhail Batsyn
Ilya Bychkov
Konstantin Chernyshov
Timur Medvedev
Maxim Makridin
Anastasia Popova
Sergey Slashchinin
Dmitry Sirotkin
Ilya Sedunov


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