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Regular version of the site

Faculty of Humanities

 

The Faculty of Humanities was created on December 1, 2014. It trains instructors and researchers in the field of language and literature, as well as specialists in philosophy, history, and modern culture.

The main goal of the faculty is to teach students how to understand and analyse various cultural processes, employ current research strategies, and effectively put their knowledge into practice.

The faculty’s staff are leading Russian academics and practitioners from various cultural fields, as well as invited foreign specialists. Students receive a modern education in the humanities, as well as thorough language preparation, which allows them to find extensive professional opportunities upon graduation. Students are given the opportunity to conduct research and gain practical experience at major private and public establishments.

Our strengths:

1. Interdisciplinary approach

We study the humanities alongside other academic fields so that students can apply their skills in various areas.

2. International cooperation

We maintain active international ties, which allows students to undertake internships and study abroad, as well as broaden their outlook and cultural experiences.

3. Research

We encourage and support student participation in research projects. This gives them an opportunity to apply their knowledge in practice and make a contribution to the development of the humanities.

Our graduates pursue careers in public and commercial organisations and various types of mass media. They also implement their own media, cultural, social, and educational projects.

Publications

  • Book

    Kim H. R.

    Social Science & Humanities

    This study analyzes the biography and work of Kim Bok-jin (pseudonym: Chongwan), the first Korean to graduate from the sculpture department of Tokyo University of the Arts in Japan during the Japanese colonial period (in 1925) and the first sculptor to introduce Western realist techniques to Korea. The study will also examine the national motifs in the works of Kim Bok-jin against the backdrop of a difficult historical period, and analyze a number of his little-known works through the prism of Korean studies. The main content of the study is the sculptures of Kim Bok-jin “standing woman”, “statue of Maitreya Buddha” “Baek Hwa”, “Youth (Boy)”, “Old man”. He is a significant figure in Korean sculpture: from 1925 until his death in 1940, Kim Bok-jin regularly exhibited his works at the Joseon Art Exhibition, and in addition to his artistic activities, he also ran the Art Research Institute, nurturing young artists. He also engaged in journalism, criticism, and political activity as a member of the Joseon Communist Party. The purpose of this study is to rethink the work of Kim Bok-jin, the founder of Korean sculpture, who was posthumously awarded the Order of Merit of the National Foundation in 1993.

    Prt. 10: Social Science & Humanities. Iss. 7. International Journal of Current Science Research and Review, 2024.

  • Article

    Fomin D., Ilya Makarov, Voronina M. et al.

    Heterogeneous Graph Attention Networks for Scheduling in Cloud Manufacturing and Logistics

    Efficient task scheduling and resource allocation in manufacturing are vital for gaining competitive advantages in dynamic economic environments. Modern manufacturing systems must integrate logistics considerations such as delivery times and costs, yet traditional scheduling methods often overlook these factors. To address this gap, we investigate task scheduling in cloud manufacturing systems, emphasizing logistics integration. We propose a novel Graph Neural Network architecture for optimizing task scheduling by representing the problem on a heterogeneous graph, where nodes denote tasks and locations. Our model minimizes both manufacturing and logistics costs, achieving significant performance improvements over greedy algorithms and comparable results to strong genetic algorithms in large-scale scenarios with up to 20 locations. This work advances the efficiency and flexibility of cloud manufacturing systems, offering practical solutions for dynamic, cost-sensitive environments.

    IEEE Access. 2024. Vol. 12. P. 196195-196206.

  • Book chapter

    Tanis K.

    Traveling Tibet: the Case Study of One Film's Translocation

    This paper performs a case study on the film Secret Tibet (Geheimnis Tibet, 1943). The footage was filmed during the German expedition to Tibet in 1938–1939, and the first version was released on German screens in 1943. However, in 1945, the Soviet troops transported the film as part of the Reichsfilmarchiv in the USSR, made significant changes, and re-issued it as a Soviet documentary. The distributional history of Secret Tibet provides a fruitful platform for juxtaposing the film cultures and cultural policies of both states. Applying a comparative approach to the goals, features, and historical contexts of the film releases in both cases, it is possible to reveal German and then Soviet imagination on Tibet.

    In bk.: New Europe College Yearbook. Bucharest: New Europe College, 2025.

  • Working paper

    Konstantin Zaitsev.

    Exploring the Effectiveness of Methods for Persona Extraction

    The paper presents a study of methods for extracting information about dialogue participants and evaluating their performance in Russian. To train models for this task, the Multi-Session Chat dataset was translated into Russian using multiple translation models, resulting in improved data quality. A metric based on the F-score concept is presented to evaluate the effectiveness of the extraction models. The metric uses a trained classifier to identify the dialogue participant to whom the persona belongs. Experiments were conducted on MBart, FRED-T5, Starling-7B, which is based on the Mistral, and Encoder2Encoder models. The results demonstrated that all models exhibited an insufficient level of recall in the persona extraction task. The incorporation of the NCE Loss improved the model's precision at the expense of its recall. Furthermore, increasing the model's size led to enhanced extraction of personas.

    arxiv.org. Computer Science. Cornell University, 2024

All publications