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

Summer School on Operational Research and Applications

The Summer School on Operational Research and Applications will take place on May 10 – 14, 2017 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:

Summer school 2012
Summer school 2013
Summer school 2014
Summer school 2015

Summer school 2016


The school is organized for last-year bachelor, master and PhD students. To attend the school as a participant you must register before April 20, 2017. Students are also encouraged to present the recent results of their research related to the topics of the summer school. Selected school papers will be published in a conference NET 2017 proceeding (indexed in Scopus).


If you have any questions, please do not hesitate to contact us: iutkina@hse.ru (Irina Utkina).


Important Dates

Registration / Abstract submission  April 30 / April 02

Notification acceptance: April 30

Summer School: May 10-14



School lectures


Mikhail Khachay, Institute of Mathematics and Mechanics of Russian Academy of Science, Ural Branch, Ekaterinburg

Lecture 1: Deterministic approximation algorithms and PTAS for the Traveling Salesman Problem and its generalizations
Lecture 2: Randomized approximation algorithms for TSP and its generalization
Lecture 3: Polynomial time approximation schemes for Vehicle Routing Problems

Ilias Kotsireas, Wilfrid Laurier University, Ontario, Canada
Lecture 1: Introduction to high-performance computing (HPC) and Parallel Programming
Lecture 2: Meta-programming with Maple
Seminar: Low Autocorrelation Binary Sequences (LABS)

Alexander Lazarev
, Institute of Control Science of Russian Academy of Science, Moscow

Lecture 1: Scheduling Theory and Applications 

Lecture 2: Scheduling Theory and Applications 

Lecture 3: Scheduling Theory and Applications 


Panos PardalosUniversity of Florida, USA

Lecture: On Objective Function Representation Methods in Optimization

Jun Pei
, School of Management, Hefei University of Technology, Hefei City, China 

Lecture 1: Study of coordinated scheduling and transportation based on serial-batching 
Lecture 2: Serial batching scheduling of deteriorating jobs to minimize the makespan 
Seminar: Data-driven scheduling in manufacturing

Stefan Pickl
Universität der Bundeswehr München, Germany 

Lecture 1: Introduction to Data Science: Data Mining and Data Farming
Lecture 2: From Data Science to Predictive Analytics
Seminar: Risk Assessment and Optimal Behavior

Oleg ProkopyevUniversity of Pittsburgh, USA

Lectures: Fractional 0–1 Programming: Applications, Complexity and Algorithms 

Co-Chairs of the school

Panos M. Pardalos University of Florida and LATNA, HSE

Natalia Aseeva
, HSE, Nizhny Novgorod


Organizing Committee

Mikhail Batsyn

Ilya Bychkov

Ivan Grechikhin

Valery Kalyagin

Petr Koldanov

Timur Medvedev

Alexey Nikolaev

Alexander Ponomarenko

Oleg Prokopyev

Andrey Savchenko

Irina Utkina


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.