On 15 April, the JINR Spring School of Information Technologies got its start at the Meshcheryakov Laboratory of Information Technologies at JINR. During two days, 30 students from Moscow, St. Petersburg, Dubna, Vladikavkaz, Chelyabinsk, Vladivostok and Petropavlovsk-Kamchatsky will present the preliminary results of their graduation theses within JINR projects.

MLIT Scientific Leader Vladimir Korenkov opened the Spring IT School. He said that the School continued the work of the JINR Autumn School of Information Technologies 2023. 52 students from 11 Russian universities and over 30 lecturers from JINR and various scientific and educational centres took part in the Autumn School. Following its results, scientific groups, including students, their supervisors from universities and the Institute’s specialists, were formed for joint work in JINR projects. Most students will graduate this year and present their findings at the Spring IT School. “The scientific programme of our Laboratory embraces the development of the JINR Multifunctional Information and Computing Complex, the development of the JINR Digital EcoSystem, participation in computing for megascience projects and a multitude of other projects relevant to the development of JINR’s scientific programme,” Vladimir Korenkov noted. The topics of reports at the School also cover distributed computing within JINR experimental and theoretical research, mathematical modeling and numerical methods, methods and technologies for information processing and analysis.

The School’s programme was opened by reports of FEFU students, winners of the Hackathon held within the JINR Autumn IT School. Their talks were devoted to the development of a system for monitoring the state of the compute nodes of the HybriLIT heterogeneous platform.

Eight reports at the School are related to the SPD experiment of the NICA megascience project, including three reports on the physical event catalogue and two reports on the metadata information system of the experiment. The participants will talk about the automation of distributed data stream processing within the NICA BM@N experiment and the construction of the geometry of NICA MPD experiment detectors in the ROOT environment. The speakers will pay attention to the application of neural network algorithms, for example, in the reconstruction of the neutron spectrum and in the development of the JINR MLIT platform for detecting plant diseases. The participants will focus on the automation of some administrative processes and the development of JINR information services. Four reports are devoted to the development of the Institute’s Digital EcoSystem.

Students from seven universities, namely, NRNU MEPhI, ITMO University, Dubna State University, North Ossetian State University named after K.L. Khetagurov, South Ural State University, Far Eastern Federal University, and Kamchatka State University named after Vitus Bering, participate in the School.

Within the School there will be held a competition for the best report. All participants will be awarded certificates of completion. The working language of the event is Russian.

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