RUDN University scientists participated in the 2nd International Conference on Gas, Oil & Petroleum Engineering (GOPE-2018)
On the 25 — 28 of February 2018 in Houston, USA, was held the 2nd International Conference on Gas, Oil & Petroleum Engineering (GOPE-2018) — the largest international industrial and scientific event in the field of creation and application of various technologies of the oil refining industry.
GOPE-2018 aimed to join the scientific community working on various aspects of research and development to promote the exchange of ideas across a wide range of disciplines, including significant advancement and challenges in the energy sector — gas, oil, coal and fuel engineering. Prospects for the development of the oil and gas industry are mainly associated with the wide manufacturing application of advanced technologies and equipment to improve the efficiency of technological processes, their economy, reliability and safety.
This year the conference attracted more than 150 scientists working in the fields of gas, oil, coal and fuel engineering from the USA, the Netherlands, Mexico, Korea, Japan, Australia, Singapore, China. During the work of the conference were presented more than 100 reports. In particular, the conference was attended by representatives of fuel corporations and universities: Schlumberger, Davis L. Ford & Associates Nalco Champion, University of Maryland (129 QS World University Rankings), Louisiana State University (USA), University of Edinburgh (23 QS World University Rankings, United Kingdom), Petro China Southwest Oil and Gas Field Company, China University of Petroleum, University of Houston (USA), etc.
Jointly with representative of A.V. Topchiev Institute of Petrochemical Synthesis of Russian Academy of Sciences (TIPS RAS) was presented report “Peculiarities of hydrocarbons transformation of benzene and adamantane range in the conditions of acid catalysis”. The report was devoted to the description of intramolecular reorganizations and displacements in the mechanism of isomerization reactions of hydrocarbons of the adamantane series.
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.