School of Data Analysis and Artificial Intelligence

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The School of Data Analysis and Artificial Intelligence was created in 2014 as part of the Department of Data Analysis and Artificial Intelligence. The school consists of world-renowned researchers who actively participate in international research projects.

Publications

Book

17th International Conference, SCSM 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Gothenburg, Sweden, June 22–27, 2025, Proceedings, Part II. Social Computing and Social Media. LNCS, volume 15787

Fedyanin D.

Vol. 2. Switzerland: Springer, 2025.

Article

Reproducible Benchmark of Wavelet-Enhanced Intrabody Communication Biometric Identification

Jin S., Komarov M. M.

Scientific Reports. 2026.

Book chapter

Interpretable Machine Learning in Guided Synthesis of Stable Sols Based on Nanosized Titanium Oxides

Glushko A., Neznanov A., Kuz'micheva G. et al.

In bk.: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 5-7 Feb. 2026. IEEE, 2026. P. 1-6.

Working paper

Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset

Меньшиков И. А., Бернадотт А. К., Elvimov N. S.

Statistical mechanics. arXie. arXive, 2025

All publications

Delivered by:: School of Data Analysis and Artificial Intelligence

Type:: Compulsory course

When:: 4 year, 3 module

Instructor

Karpov, Ilia

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Abstract

This course introduces methods and algorithms for analysing and visualizing graphs and networks. The course includes a review of modern network analysis and visualization techniques with their applications in various domains. We will concern on three main topics: network analysis methods based on applied graph theory, graph drawing algorithms, applications of network analysis and visualization to real problems.

Analysis and Visualization of Networks

Instructor

Course Syllabus

Abstract