BSC Computer Science

Overview: Computer Science project covers modern areas of digital transformation in enterprises, as well as the development and applied use of intelligent systems. Digital transformation as a scientific field is interdisciplinary in nature, at the intersection of artificial intelligence, machine learning, cloud computing, the Internet of Things, and big data analytics. Participants in the collaboration jointly build the scientific foundations of these fields by developing new methods and approaches, while also implementing practical solutions based on artificial intelligence technologies. Bauman Scientific Collaboration: Computer Science serves as a platform for sharing experience, generating synergy of ideas, and preparing high-level joint publications, which will accelerate scientific progress in the field of intelligent systems. Participation in Bauman Scientific Collaboration enables not only recognized experts, but also young researchers and their scientific supervisors to join forces in advancing research results and increasing their international visibility.

Objective: The project focuses on developing the fundamental scientific and practical foundations of digital transformation and intelligent systems. This includes advancing theoretical frameworks and creating new technical solutions that will foster the transition to intelligent information technologies across all sectors—from industry to education. BSC: Computer Science provides an organizational and technological platform to consolidate the efforts of specialists from various universities, research organizations, and real-sector enterprises, while facilitating the exchange of scientific and practical experience among them.

Key Tasks:

• Development and analysis of algorithms and machine learning models;
• Research in computer vision, natural language processing (NLP), and human–computer interaction;
• Creation of innovative software and IT system architectures.