Tactile gloves, robotic hands, augmented reality cameras and glasses, hexacopters with a WiGig station on board – this is what is used by RUDN mathematicians to demonstrate the possibilities of 5G nets and IoT research.
G.Klimenko, RF President’s advisor: «Digital economy is the latest trend and Russia is one of three full digital cycle countries – Russia, China and the USA. We need better connection and faster Internet, which requires substantial research».
Leading RUDN mathematicians cooperate with colleagues from «YL-Verkot Oy» (Finland), Saint-Petersburg State University of Telecommunications n.a.prof.Bonch-Bruevich (Russia) and Brno Technological University (Czech) to use the research results for complex solutions in digital economy of big cities. Leading RUDN mathematicians cooperate with colleagues from «YL-Verkot Oy» (Finland), Saint-Petersburg State University of Telecommunications n.a.prof.Bonch-Bruevich (Russia) and Brno Technological University (Czech) to use the research results for complex solutions in digital economy of big cities.
RUDN Rector V.Filippov: «RUDN mathematical school has been solving applied problems for dozens of years, and we are ready to share knowledge to create and develop Smart cities and digital economy. This is one of the priorities to strengthen RUDN position among leading universities in the frame of 5-100 project».
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.