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.
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.
Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
Alexandra Sentyabreva, a junior researcher at the Laboratory of Cell Technologies and Tissue Engineering at RUDN Research Institute of Molecular and Cellular Medicine at the Russian University of People's Friendship, won the competition for young scientists at the All-Russian Scientific Conference “Topical Issues of Morphogenesis in Norm and Pathology.” She was awarded the Academician A.P. Avtsyn Prize.