Laboratory of Network Systems and IT Infrastructure
Laboratory of Network Systems and IT Infrastructure has been functioning since September 2022. As a structural unit of the School of Information Technology and Data Science, the laboratory has several directions of activity: educational - the implementation of the learning process on ongoing educational programs at a new technological level, which provides improving the quality of training, retraining and advanced training of students by implementation of the latest training and research equipment, programme-technical tools; research direction - development of research programs of the laboratory and the implementation of the results when implementing research and development, study programs of the School of Information Technology and Data Science as well as INRTU end-to-end technologies.
Key personnel
Aleksei Anoshko
Head of the Laboratory of Network Systems and IT Infrastructure:
Networking Technology Lab
Phone
+7 395-240-5161
Mail
aaf@istu.edu
Stanislav Grigorev
Associate Professor, Head of the Center:
Data Analysis and Data Governance Center
Associate Professor:
Laboratory of Network Systems and IT Infrastructure
Phone
+7 902-176-7946
Mail
svg@istu.edu
Roman Kononenko
Head of the Laboratory:
Hardware and Software Computing Lab
Associate Professor:
Laboratory of Network Systems and IT Infrastructure
Phone
+7 950-052-5920
Mail
istu_politeh@mail.ru
Edita Kuular
Phone
+7 924-831-8712
Mail
Kuular1991@mail.ru
Nikita Lukianov
Associate Professor:
Laboratory of Network Systems and IT Infrastructure
Head of the Center:
E-learning Center
Phone
+7 395-240-5616
Mail
Lukyanovnd@istu.edu
Vladimir Mironenko
Associate Professor:
Laboratory of Network Systems and IT Infrastructure
Phone
+7 395-240-5904
Teaching staff
Research projects
-
Streamlining the installation process, configuration and maintenance of software and hardware-software complexes, design issues and implementation of IT-structure systems.
-
Application of Network Science methods when processing of large amounts of information, building relevant ontologies and using integrated services.
-
Learning advanced technologies in the field of data transmission, robotics control and internet of things control.
-
Formation of projects for use of machine vision systems.