RUDN University Participation in the 3rd International Conference on Building Materials and Construction (ICBMC 2018) in Nha Trang (Vietnam)
On the 23-25 of February, representatives of the RUDN University Department of Architecture and Construction of the Engineering Academy, consisting of 3 people (the fifth year student of the Bachelor's degree in Architecture, Lidiya Natali Somarriba Sokolova (Nicaragua), the full-time PhD student Jean Paul Vladimir (Haiti) and the associate professor Rynkovskaya M.I.) participated in the international scientific conference "3rd International Conference on Building Materials and Construction (ICBMC 2018)" in Nha Trang (Vietnam) and successfully delivered 4 reports. Within the framework of the conference there were 5 sections:
- Civil and Structural Engineering
- Architecture and Urban Planning
- Materials Science and Engineering
- Materials Properties, Measuring Methods and Applications
- Materials Manufacturing and Processing
It was interesting to learn from the plenary report of Professor Low Sui Pheng (National University of Singapore (QS13) that in Singapore the technology of building modular buildings was actively developing, the report of Professor Jin-Keun Kim from Korea Advanced Insitute of Sciences and Technology (KAIST, QS41) was about serious research of building structures, including the mechanical properties of concrete, depending on the distribution of moisture in it, in Korea.
Associate Professor Rynkovskaya M.I. presented 2 reports that aroused the interest of the plenary lecturer from Macau, Professor Zongjin Li (University of Macau), who proposed to discuss the possibility of joint research on BRICS-supported projects.
RUDN scientist named neural networks that will help doctors interpret the results of an electroencephalogram (EEG) and other test of brain activity. The best of them works with almost 100% accuracy, while not only giving the result, but explaining why it turned out the way it did.
To obtain information about objects on the earth's surface and in near-Earth space, it is advisable to use not one, but several satellites. Such satellites move in different orbits, but operate as a whole. This allows us to increase the efficiency and accuracy of the obtained data but requires additional efforts to control the relative motion of satellites. RUDN engineers together with colleagues from Malaysia found a way to effectively control such formations of several satellites.
Ice rock, overnight in the mountains and 6100 meters above sea level... A scientist from the Agricultural Technological Institute went on an expedition to the Tien Shan.
RUDN scientist named neural networks that will help doctors interpret the results of an electroencephalogram (EEG) and other test of brain activity. The best of them works with almost 100% accuracy, while not only giving the result, but explaining why it turned out the way it did.
To obtain information about objects on the earth's surface and in near-Earth space, it is advisable to use not one, but several satellites. Such satellites move in different orbits, but operate as a whole. This allows us to increase the efficiency and accuracy of the obtained data but requires additional efforts to control the relative motion of satellites. RUDN engineers together with colleagues from Malaysia found a way to effectively control such formations of several satellites.