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FCS Team Takes First Place at Rosneft Universities’ Hackathon

FCS Team Takes First Place at Rosneft Universities’ Hackathon

© HSE University

A team from HSE University’s Faculty of Computer Science took first place in a Rosneft hackathon held in October among the country’s universities. The hackathon was organised by the research institute RN-BashNIPIneft LLC. The competition participants had the chance to try their hand at solving real production problems.

The task was to select an algorithm and create a program for predicting the values ​​of a certain unknown quantity on 2D maps.

This year’s hackathon involved:

  • Over 400 participating students

  • 44 cities

  • 8 research universities

  • 7 partner universities

In general, the task was aimed at using cognitive technologies to identify multidimensional, implicit relationships that are actively used in various fields of knowledge, such as economics, medicine, meteorology, geology, and geophysics.

The participants had to:

 know statistical analysis and data processing;

 know the Python and C/C++ programming languages;

know artificial intelligence methods.

The best teams in the online stage went through to the finals, which took place at Rosneft’s partner universities and research institutes. Among them was Better Call Saul, a team of first-year undergraduate students from the Applied Mathematics and Information Science Programme of the Faculty of Computer Science: Maxim Kirilyuk, Dmitry Kutsenko, Nikita Romanov, and Kirill Demekhin.

Maxim Kirilyuk

— There was an interesting abstract problem. The techniques we have learned will be useful in many other cases. And our victory once again proves that age is not as important as knowledge and the ability to learn.

Dmitry Kutsenko

— I had not come across data in this format before, so I had to spend a day analysing and finding peculiarities in the data presented. After our victory, I felt the desire to go into the areas that were unusual for me and solve complex problems.

Nikita Romanov

— The hackathon featured an unusual problem for which there are still few ready-made approaches. Thanks to this, the winners were not those who honed their skills solving similar cases, but those who knew how to research, experiment, and find effective solutions to new problems.

Kirill Demekhin

— This was my first experience of working together in the field of AI. We divided responsibilities wisely and carefully monitored the development of each stage. Together, we were able to test a large number of hypotheses, which is why we won.

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