SCIENCE BRINGS NATIONS TOGETHER
6th International Workshop on Deep Learning in Computational Physics (DLCP-2022)

Europe/Moscow
Description

We are pleased to invite you to participate to the DLCP-2022 – The 6th International Workshop on Deep Learning in Computational Physics which will be held in the Meshcheryakov Laboratory of Information Technologies (MLIT) of the Joint Institute for Nuclear Research (JINR) on July 6-8, 2022. 
The workshop will be held in a mixed format: face-to-face and remote. However, the poster section will be held in face-to-face only.

The workshop primarily focuses on the use of machine learning in particle astrophysics and high energy physics, but is not limited to this area. Topics of interest are various applications of artificial neural networks to physical problems, as well as the development of new modern machine learning methods for analyzing various scientific data, including big data.

The working languages are English and Russian.

All relevant information on the workshop website: dlcp2022.jinr.ru.

The group photo will be on July 7 before lunch at 13:00!

Organizers

Joint Institute for Nuclear Research, Meshcheryakov Laboratory of Information Technologies (MLIT JINR, Dubna, Russia) and
M.V. Lomonosov Moscow State University, D.V. Skobeltsyn Institute of Nuclear Physics (SINP MSU, Moscow, Russia).

SnipMsu JINR MlitJINR

The main topics

The list is not limited these themes.

Track 1. Machine Learning in Particle Astrophysics and High Energy Physics 

  • Machine learning methods in particle astrophysics and high energy physics
  • Fast event generators based on machine learning for modelling of physics phenomena.
  • Multi-messenger data analysis of experimental data.
  • Application machine learning for data analysis in LHC, NICA, TAIGA and other experimental facilities.

Track 2. Modern Machine Learning Methods

  • Convolutional neural networks.
  • Recurrent neural networks.
  • Graph neural networks.
  • Modern trends in machine learning.

Track 3. Machine Learning in Natural Sciences

  • Biology and bioinformatics.
  • Engineering sciences.
  • Climate prediction and Earth monitoring.

Track 4. Machine Learning in Education

  • Machine learning in High education.
  • Outreach knowledge in machine learning.

The workshop will feature:

  • invited presentations – 30 minutes,
  • regular presentations – 15 minutes,
  • posters (only face to face) A1 or A0 format, vertical arrangement.

Program committee

A. Kryukov (SINP MSU, Moscow) — Co-Chair
V. Korenkov, professor (MLIT JINR, Dubna) — Co-Chair
E. Boos, corresponding member of the RAS (SINP MSU, Moscow) 
A. Demichev (SINP MSU, Moscow)
V. Ilyin (NIC “Kurchatov Institute”, Moscow)

G. Ososkov, professor (MLIT JINR, Dubna)
O. Streltsova (MLIT JINR, Dubna)
P. Zrelov (MLIT JINR, Dubna)

Local organizing Committee

A. Kryukov (SINP MSU, Moscow) — Co-Chair 
V. Korenkov (MLIT JINR, Dubna) — Co-Chair 
D. Priakhina (MLIT JINR, Dubna) — Scientific Secretary
M. Plyashkevich (MLIT JINR, Dubna)
O. Rumyantseva (MLIT JINR, Dubna)
I. Sokolov (MLIT JINR, Dubna)
D. Stankus (MLIT JINR, Dubna)
O. Streltsova (MLIT JINR, Dubna)
T. Strizh (MLIT JINR, Dubna)
А. Vorontsov (MLIT JINR, Dubna)
T. Zaikina (MLIT JINR, Dubna)

Important dates

Abstract submission — June 22, 2022 June 27, 2022
Notification of acceptance — June 29, 2022 
Registration — until July 4, 2022
The Workshop — July 6-8, 2022
Paper submission — August 9, 2022 
August 15, 2022
Notification of paper acceptance — September 19, 2022

The review process has been completed.

We apologize for the increase in the time of reviewing papers.
 

Until November 1, 2022 authors will receive an information letter with the results of the  review and further instructions.

Registration and abstract submission

The registration and abstract submission should be done via the website: Registration and Call for Abstracts.
No fee for participation.

Proceedings

Selected articles will be recommended for publication in the scientific journals:

The journals is included in the Higher Attestation Commission (Russian Federation).

Also all accepted articles will be published online in the proceedings of the workshop in the Proceedings of Science and submitted for indexing by Scopus.

We invite two types of submissions:
REGULAR PAPERS describe research not published or submitted elsewhere (10-12 pages).
SHORT PAPERS may be position papers, descriptions of research prospects, challenges, projects, ongoing works, or applications (5-9 pages).

Place and transportation

JINR (Dubna, Russia). Directions to the meeting venue, information about trains and buses can be found on the conference website: Place & Transportation.

The workshop will be held face to face. However, given the epidemiological situation on COVID-19, it will be possible to participate remotely too.
The ZOOM link will only be sent to registered participants 2 days before the start of the workshop.

Accommodation

Information about accommodation can be found on the conference website: Accommodation.
The Organizing Committee will allocate rooms in the hotel "Dubna", but Participants themselves must call and book a room. While booking, participants must indicate that they are from the DLCP 2022 conference (the organizing committee sends a list of participants to the hotel).

Contacts

All correspondence concerning the workshop should be addressed by e-mail.

Conference e-mail: dlcp2022@jinr.ru.
 

Sponsors

ITCost rscgroup Softline

 

Participants
  • Aida Galoyan
  • Alexander Ayriyan
  • Alexander Degtyarev
  • Alexander Kryukov
  • Alexander Nezvanov
  • Alexander Uzhinskiy
  • Alexey Serenko
  • Alexksander Dik
  • Anastasia Anikina
  • Anastasiya Lavrova
  • Anastasiya Prikazchikova
  • Andrei Kopylov
  • Andrei Zaborenko
  • Andrey Demichev
  • Anna Ilina
  • Anna Vlaskina
  • Anton Selivanov
  • Anton Tsvetkov
  • Arkadiy Taranenko
  • Arsenii Gavrikov
  • Artem Maminov
  • Artem Petrosyan
  • Bakytbek Mauyey
  • Cheremisina Evgenia
  • Chitta Ranjan Das
  • Danila Oleynik
  • Daria Priakhina
  • Dastan Ibadullayev
  • David Coelho
  • Diana Seitova
  • Diptiranjan Pattanaik
  • Dmitriy Kunitsyn
  • Dmitry Zinchenko
  • Eduard Nikonov
  • Egor Shchavelev
  • Ekaterina Pavlova
  • Elena Akishina
  • Elena Kokoulina
  • Elizaveta Gres
  • Faig Ahmadov
  • Gennady Ososkov
  • Gulshat Amirkhanova
  • Hari Haran Balakrishnan
  • Hovik Grigorian
  • Igor Gapon
  • Igor Isaev
  • Igor Kakorin
  • Igor Kuzmenkov
  • Ilnur Gabdrakhmanov
  • Ilya Dashkov
  • Ilya Tsvetkov
  • Inna Kolesnikova
  • Irina Filozova
  • Ivan Morkovnikov
  • Ivan Sokolov
  • JASUR KIYAMOV
  • Kristina Lyakhova
  • Kristina Zhatkina
  • Leonid Kuzmichev
  • Lev Dudko
  • Lyubov Truntova
  • Maria Dima
  • Marko Ćosić
  • Martin Vala
  • Maxim Zuev
  • Medha Chakraborty
  • Mihai-Octavian Dima
  • Mihai-Tiberiu Dima
  • Mikhail Krinitskiy
  • Mridupawan Deka
  • Natalia Belyakova
  • Nickolay Shchurov
  • Nikita Fedorov
  • Nikita Veremev
  • Nugzar Makhaldiani
  • Nurlan Barlykov
  • Oksana Streltsova
  • Oleg Iakushkin
  • Olga Petrova
  • Pavel Glukhovtsev
  • Pavel Goncharov
  • Peter Parfenov
  • Petr Volkov
  • Robert Yamaleev
  • Roman Chervitsov
  • Roman Mukhin
  • Sara Shadmehri
  • Saveliy Zavertyaev
  • Sergei Dolenko
  • Sergei Khruschev
  • Sergei Perelygin
  • Sergei Shmatov
  • Sergey Belov
  • Sergey Nepochatykh
  • sergey ulyanov
  • Serkan Akkoyun
  • Stanislav Polyakov
  • Stepanova Margarita
  • Sudhir Pandurang Rode
  • Svetlana Tsvetkova
  • Tatiana Zaikina
  • Toktar Belgibayev
  • Vadim Rezvov
  • Vasilisa Koshkina
  • Victor Ivanov
  • Victor Perelygin
  • Viktor Golikov
  • Vladimir Dudin
  • Vladimir Korenkov
  • Vladimir Moroz
  • Vladimir Papoyan
  • Vladimir Roudnev
  • Yersultan Arynbek
  • Yulia Dubenskaya
  • Yuri Butenko
  • Yuriy Balandin
  • Zhanibek Kurmanaliyev