Laboratory of Information Technologies

Joint Laboratory Seminar

Date and Time: Tuesday, 24 March 2026, at 3:00 PM

Venue: room 310, Meshcheryakov Laboratory of Information Technologies, online on Webinar

Link to join the seminar

1. Seminar topic: “Application of machine learning and computer vision methods for experimental data analysis in radiobiological studies”

   Speaker: Tatevik Bezhanyan

   Abstract:
   

   The speaker will present the results of the development of algorithms based on computer vision and machine learning methods for analysing experimental data in radiobiological research, and the creation of web services for the automation data analysis.
   To analyse video data obtained in behavioural experiments on small laboratory animals in the “Morris Water Maze” test system, a web service was developed based on an algorithm which utilised computer vision methods and the YOLOv11 deep learning model. Here, one of the main problems are addressed: tracking and obtaining numerical characteristics of the object movement. A study of platform search strategies by rodents was conducted using unsupervised learning methods to determine the possible number of classes.
   To automate the radiation-induced foci analysis, the web service “MOSTLIT” was developed based on a two-stage deep learning approach. MOSTLIT allows the user to observe the identified nuclei, automatically detect two marked foci and obtain the numerical characteristics.
   Data annotation, algorithm development, and web service deployment were carried out using the ML/DL/HPC ecosystem of the HybriLIT Heterogeneous Computing Platform.




2. Seminar topic: “Mathematical modelling of hybrid Josephson structures consisting of superconductors and magnets”

   Speaker: Dmitrii Kokaev

   Abstract:
   

   The phase dynamics and resonance properties of the φ0 Josephson junction implemented in a superconductor-ferromagnet-superconductor hybrid structure are studied. Algorithms for calculating the current–voltage characteristic (CVC) and constructing the voltage dependence of the magnetisation component amplitudes in the φ0 junction are developed. It is shown that the amplitudes of magnetisation components are modulated along the CVC. An approximate analysis demonstrates that this modulation is due to the implementation of parametric resonance in the φ0 junction.
   Additionally, the results are obtained from studying a system of three nanomagnets coupled to a Josephson junction will be presented.