3 - 5 November, 2017, Brno University of Technology (Czech) hosted the International round table of 5 universities on wireless 5G IoT nets and inter-university cooperation. RUDN was represented by Konstantin Samuilov, Director of RUDN Institute of Applied Mathematics and Telecommunications and Yulia Gaidamaka, associate professor of the Department of applied informatics and probability theory.
Among universities-partners – Tampere Technilogical University (Finland), Vienna University (Austria), St. Petersburg State University of aerospace machinery building (Russia).
At the round table the universities presented Next Generation Network laboratories existing in each of them.
«In 2017, we are opening a lab of advanced research of wireless 5G IoT nets», said professor Samuilov. The laboratory will demonstrate the possibilities of tactile Internet, augmented reality, flying video platform, Internet of things and many other innovations working for the benefit of digital economy of big cities.
In 2016, RUDN University and BUT signed an agreement of scientific cooperation. At a working meeting after the round table the parties discussed building a segment of RUDN – BUT 5G net.
After the round table the participants went to Munich to the 9th International Congress on Ultra Modern Telecommunications and Control Systems, ICUMT.
A RUDN chemist has obtained a new compound — a dumbbell-shaped phosphate-bridged molybdenum cluster. The cluster accelerates the reaction of the formation of sulfides from oxides and can be used in pharmaceutical and cosmetic manufacturing.
Mathematicians from RUDN University have studied the properties of compositional operators in spaces with mixed Lebesgue norms. It will help describe the diffusion of liquids in materials with cracks and in porous materials. Such spaces are also useful for obtaining estimates for solutions to the Navier-Stokes equation.
A biophysicist from RUDN University and his colleagues modelled the molecular dynamics of growth of microtubules, the most important elements of cell activity. The researchers have built a model for the interaction of microtubule subunits, which takes into account their internal and external connections. The results will help form a more complete model of the dynamic instability of microtubules. It will allow choosing chemical agents for the treatment of certain diseases, including neoplasms and neurodegenerative pathologies.