• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

XII Summer School on Operations Research, Data, and Decision Making ORA 2020

XII Summer School on Operations Research, Data, and Decision Making,
ORA 2020, May 19-21, 2020.
Higher School of Economics, Nizhny Novgorod, Rodionova street 136

The Summer School on Operational Research, Data and Decision Making will take place on May 19-21, 2020 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 19-20, 2020 in distant format in Zoom.
Interested participants have to register (see below) and 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, decision science, and stochastic programming. The school follows the tradition of previous summer schools on operational research and applications 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019:
Summer school 2012
Summer school 2013
Summer school 2014
Summer school 2015
Summer school 2016
Summer school 2017
Summer school 2018
Summer school 2019

The school is organized for last-year bachelor, master and PhD students. To attend the school as a participant you must register before May 17, 2020. 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: vkalyagin@hse.ru

Important Dates and Shedule:
Registration / Abstract submission: May 17 / April 15
Notification acceptance: Ad hoc
Summer School: May 19-20, 2020. Every day 4 lectures from 15:00 to 19:00


ORA2020_Program (PDF, 107 Kb) 


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.

Darina Dvinskikh (Weierstrass Institute for Applied Analysis and Stochastics, Berlin, MIPT, IITP) and Alexander Gasnikov (MIPT, HSE, IITP)

Two approaches for population Wasserstein barycenter problem: Stochastic Averaging versus Sample Average Approximation (PDF, 86 Kb) 

Mario Guarracino, University of Cassino and ICAR-CNR, Italy

Association rules: from zero to hero (PDF, 30 Kb) 

Ilias Kotsireas, Wilfrid Laurier University, Canada

Decision Tree algorithms and Big Data processing (PDF, 28 Kb) 

Panos Pardalos, University of Florida, USA and HSE

From Local to Global in Numerical Optimization (PDF, 28 Kb) 

George Tsaklidis, School of Mathematics, Aristotle University of Thessaloniki, Greece

Estimation of the two-sided jumps of asset returns via Kalman filtering (PDF, 29 Kb) 

Julius Zilinskas, University of Vilnius, Lithuania

Non-convex Multi-objective Optimization (PDF, 29 Kb) 

Co-Chairs of the school
Panos M. Pardalos University of Florida and LATNA, HSE
Natalia Aseeva, HSE, Nizhny Novgorod

Program Committee 

Fuad AleskerovNRU HSE

Mikhail BatsynNRU HSE

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

Valery KalyaginNRU HSE

Yury Kochetov, Russian Academy of Sciences, Novosibirsk

Alexander KoldanovNRU HSE

Valentina KuskovaNRU HSELaboratory of Applied Network Research
Dmitriy MalyshevNRU HSE

Oleg Prokopyev, University of Pittsburgh, USA

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

Nikolay Zolotykh, Lobachevsky State University, Nizhny Novgorod

Andrey SavchenkoNRU HSE 

Local Organizers:
Staff of the Lab LATNA



Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!
To be used only for spelling or punctuation mistakes.