Hackathon winners at MLIT

On 4-8 July 2022, the Meshcheryakov Laboratory of Information Technologies hosted winners of the “|Technological Modernization” hackathon in the “Information Processes” direction, organised by the “Dubna” Special Economic Zone in April this year. A team of students of the Institute of System Analysis and Management of Dubna State University got an opportunity for an internship at MLIT within JINR’s special prize.
The internship programme was diverse and comprised excursions, meetings with the Institute’s specialists, and workshops. Students visited the interactive exhibition “JINR Basic Facilities”, the JINR Press Office, where Chief Editor of the JINR website Kristina Moisenz talked about how the Institute’s scientific projects and achievements are now covered on different information sites.
At MLIT, students met with leading specialists of the Laboratory, who are engaged in projects related to areas of students’ interest such as programming, information system architectures, online data processing, computer design, machine learning. Danila Oleynik spoke in detail about the processing of data of physics experiments using high-performance computing systems, touching upon the history of MLIT’s formation from bubble chambers and scanning machines to state-of-the-art data centres and grid computing. Slavomir Hnatič in his presentation revealed the topic of software engineering on the example of developing scientific software for the MPD experiment at the NICA collider. A meeting with Konstantin Lukyanov was devoted to web design and website development, trends and prospects for the development of web technologies. During a tour of the JINR Multifunctional Information and Computing Complex, students learned about the tasks solved using the MICC resources, including on the supercomputer “Govorun”.
Within the internship, hackathon winners participated in the sixth international workshop on Deep Learning in Computational Physics (DLCP-2022), which was held at MLIT in a mixed format and dedicated to different applications of artificial neural networks to physics problems and to the development of novel modern machine learning methods for data analysis.
It is noteworthy that starting from September, students who won the hackathon will be able to join JINR’s projects that aroused their greatest interest.


Information on the JINR website.