Laboratory About Adress Staff
Laboratory of Digital Technology in Logistics Faculty of Economics and Business, Department of Logistics and Marketing The educational laboratory conducts classes using AXELOT WMS X5 and AXELOT TMS X4 software (software for higher and secondary education institutions). The courses taught using the software are: Warehouse Management Systems (WMS), Intelligent Transport Systems (TMS), Fundamentals of Digital Logistics Technology, Financial Technology and Their Application in Logistics. Kibalchicha Street, 1, room 38
  • D.E. Tarasov, Head; e-mail: detarasov@fa.ru, tel.: +7 926 983-19-80
Laboratory of Tourist Destination Development Faculty of Economics and Business, Department of Tourism and Hospitality Industry

Tourist Destination Development Multimedia Laboratory was opened at the Department of Tourism and Hospitality Industry of the Financial University under the Government of the Russian Federation in November 2020. It was opened by the Financial University under the Government of the Russian Federation under the EURDIQ grant project. The Laboratory’s global mission is to contribute to the Russian tourism sector systemic development by engaging students in their own project development. The Laboratory operations are aimed at expanding students' understanding of each component of the systemic tourism sector development through practical engagement in the following:

  • Making their own tourist product;
  • Developing tourist routes;
  • Examining the destinations’ infrastructure;
  • Tourist product/territory brand creation and promotion on the market;
  • Tourism sector management.

The Laboratory is mainly engaged in the following:

  • Educational and research projects aimed at developing tourist destinations in Russia;
  • Basic training of persons operating in the multimedia sector. They obtain an opportunity to learn how to set up a frame, create audio/video content, and edit videos;
  • Forming Tourist Destination Development student research society
Kibalchicha Street, 1, room 60
  • Yu. Shvets, Head; e-mail: IYShvets@fa.ru, tel.: (499)270-4629
  • S.A. Zvonareva, assistant
Laboratory of Mobile Solutions Faculty of Information Technology and Big Data Analysis, Department of Data Analysis and Machine Learning Avrora Mobile Solutions Laboratory was founded on 10 December 2022. The laboratory trains students in using Aurora OS-based technology, develops corporate software for Aurora OS-based devices, develops a PIN-based identification technology where a user's face 2D image is used. The laboratory staff members created some programs for the Aurora OS, incl. the step-counter and Maroon, and educational game, connected with a port to a Desktop and a device running on the Aurora OS (these were the first assignments done). Three copyrighted video lectures were developed and recorded, several master classes were organized in receiving sensor data in the Aurora OS using QML and JavaScript. We cooperate with Rostelecom via a program aimed at training highly qualified personnel for Russia’s digital economy. This is part of the Aurora OS development project in education institutions. 4th Vishnyakovsky Lane 4/1, room 1209 V.G. Abashin, Head, e-mail: vgabashin@fa.ru, tel.: 8 (953) 817-88-87
Computer Vision Laboratory Faculty of Information Technology and Big Data Analysis, Department of Data Analysis and Machine Learning

The Laboratory develops and implements a computer vision system, image classification system, detects objects in an image, performs video data analysis, and develops efficient face recognition systems. The Laboratory’s goal is to engage undergraduate and post-graduate students in research and practical work using machine and deep learning methods, including computer vision methods and models. The laboratory was founded in late 2022; it became fully operational in February 2023. Our researcher team members have performed under grant agreements, participated in various projects, published their works in peer-reviewed journals and took part in national and international conferences. Our staff members not only examine computer vision, but are also engaged in natural language processing, signal and image processing, develop smart data systems and intelligent machine learning systems. The Head of the Laboratory is the Umnik (Smart Guy) competition winner. He presented his Bluetooth 4.0-based Wireless Data Collection Modules Development project (2014 - 2016). As part of the project, Bluetooth Low Energy technology-based energy meters data collection and transmission modules and an energy meter monitoring mobile application based on the modules were developed. Today, our researcher team develops algorithms for detecting objects in non-optical images using the convolutional neural networks-based approaches and use the developed model optimization technology to ensure high operational efficiency. This is part of the R&D SP-3738.2022.5 supported by the Council for Grants under the President of the Russian Federation. The title of the research project launched in 2022 is Productive Algorithm Development for Detecting Unauthorized Items in X-rayed Luggage. When problems are solved, the detection accuracy is about 89%. The staff workers took part in such conferences as OpenTalks AI, CrossConf, DSPA, ITNT, ICPR and others. They are included in the list of researchers applying for grants. For instance, applications were submitted for developing Driver Vision Test Sets ensuring traffic safety, for developing secure recognition systems to prevent visual attacks. The research findings are published in journals indexed by Scopus (Q2) and journals included into the list approved by the Russian State Commission for Academic Degrees and Titles. The Computer Vision Laboratory staff are engaged in the following projects:

  • An embedding-based face identification system development. This will not require further trainings and will help add and remove users from the database easily.
  • A scientometrics web application development. The project team uses data analysis technology, visualization techniques, graph-based models, and machine learning methods.

The Laboratory is working on establishing a partnership with VisionLabs, a leading IT company that specializes in computer vision analysis. It occupies a leading position not only in Russia but also on the international market.

The results obtained by the Laboratory staff in 2023 are the following:

  • Fifteen bachelor program students and one master program student of the Faculty of Information Technology and Big Data Analysis were trained during the practical training period at the Laboratory. Four articles were written that were based on the results of the practical training. We are planning to submit them to the journals included in the list endorsed by the Financial University.
  • The Laboratory staff supervised the preparation of seven final graduation papers dedicated to computer vision issues.
  • An application was submitted to a grant competition organized jointly by the Russian Science Foundation and NSFC (Russia and China). Project title: Efficiency and Productivity Improvement in a Fruit Crops Analysis and Yield Assessment Computer Vision System.
  • Laboratory staff took part in the Radar Location, Navigation, and Communication 29th International Researcher Conference (RLNC-2023). Abstracts of the works will be indexed by the Russian Science Citation Index.
  • The Laboratory Head took part in the Machines can See major international forum (2-3 May 2023, Dubai, UAE).
  • The Laboratory staff made a presentation on an apple-picking robot computer vision system at the OpenTalks AI conference held on 5-8 March 2023 in Yerevan, Armenia.
  • The Laboratory has been working on establishing a partnership with VisionLabs.
  • The students’ research work is supervised that was supported at the researchers’ competition developing Measurements in Computer Vision Based Face Identification. Highly efficient face identification systems are developed.
  • An application was submitted for the start-up competition organized by the Financial University and Rosbank (AI-Bolit scanning system). The application was approved at the preliminary selection stage.
  • Laboratory staff take part in the Scientometrics visualization, author, organizations and publication statistical analysis project.
4th Vishnyakovsky Lane 4/1, rooms 3510 and 3511
  • N.A. Andriyanov, Head, e-mail: naandriyanov@fa.ru, tel.: 8 (937) 037-96-90
Robotics Laboratory Faculty of Information Technology and Big Data Analysis, Department of Data Analysis and Machine Learning

The Robotics Laboratory is the platform where projects on robotic systems and intelligent services are implemented. The Laboratory has a range of robotic equipment, including manipulators, quadcopters, quadricycles, virtual reality systems, microcontrollers operating on Arduino, Raspberry Pi boards, STM, and others, equipped with sensors and controlling elements. The highly-qualified engineers are engaged in the teaching process, do the research for the industrial partners and are ready to take part in international projects.

The Robotics Laboratory staff are engaged in the following:

  • The project for building the AgroRob apple picking manipulator is based on the use of computer vision technology optimizing the apple gathering process.
  • AgroMob unmanned platform building project. The unmanned platform was based on a quadricycle where the movement and steering control was integrated with a digital platform.
  • KickPower martial arts strength and reaction time measuring simulator building project. Measuring the karate athletes’ speed was automated through the use of an artificial neural network based on inertial measuring modules.
  • PunchRulezz kinematic punch characteristics measuring simulator building project. Experiments were made to identify single direct attacks in boxing based on the MediaPipe framework, which included the BlazePose convolutional neural network models for identifying the human pose.
  • IRsensorBody checkpoint remote temperature taking project. In the course of the research, a device was developed and manufactured that enabled the rapid measurement of the temperature using the MLX90640 thermographic camera, a laser rangefinder, and identification of a person passing through the checkpoint.
  • LED screen platform building project. The laboratory staff developed a reference system that could work as a voice assistant, identity recognition device and gesture manager on the Financial University campus. The project can be scaled.
  • Digital carrier building project. During the work, a software and hardware platform for monitoring the use, monitoring the technical condition, planning the equipment maintenance and repair and monitoring the transportation vehicle location at an extractive industry enterprise is built.
4th Vishnyakovsky Lane 4/1, rooms 3510 and 3511
  • A.N. Alyunov, Head, e-mail: analyunov@fa.ru, tel.: 8 (911) 502-22-29
Special Research and Educational Laboratory Faculty of Information Technology and Big Data Analysis, Department of Information Security

The Laboratory staff are engaged in the following:

  • They examine and select modern technical teaching aids for conducting classes and ensure that they are used when offering the courses of the Information Security program when specialized laboratory equipment is required in accordance with the Federal State Higher Education Standard;
  • They prepare for use laboratory boards and models, required instruments and devices used in the classroom when the Information Security program is taught;
  • They form an environment for the students’ research, their creativity development by introducing them to research into financial sector information security and information protection.
  • The Laboratory staff supervises the students’ work when they are trained to participate in researcher conferences, forums, competitions of research work authors in the above field.
4th Vishnyakovsky Lane 4/3, room 3610 Mikhail V. Valeev, MVValeev@fa.ru +7(499)503-4743 (add 4721)
Laboratory for the Digital Transformation of Business Processes in the Industrial Sector Higher School of Management, Department of Management and Innovation

The Laboratory staff members are engaged in teaching the students who study additive technologies, Internet of Things, smart homes, and industrial design.

The Laboratory staff members assist in teaching the following courses:

  • Prototyping and Building of a Digital Prototype;
  • Internet of Things: Technologies and Tools;
  • Development, Prototyping and Testing of a Product;
  • Building a Digital Product Based on No-Code Platforms;
  • Industrial Design;
  • Innovation and Digital Transformation of Business.
Verkhnyaya Maslovka Street, 15/1, room 319 D.A. Aksenov, Head, e-mail: daaksenov@fa.ru, tel.: +7 495 249 52 13, ext. 5213
International Finance Laboratory Faculty of International Economic Relations

International finance laboratory is part of the Department of World Finance of the Faculty of International Economic Relations. It is one of the forms of research and training arranged in English (or in part in English) aimed at developing practical work skills in the chosen field, in particular, at expanding the students’ research potential, at engaging students in conducting fundamental and applied research, including by acquiring skills needed to use BAHA and Wind information systems acquired by the Financial University in the 2022/2023 academic year. The Laboratory’s goal is to develop researcher’s competencies, conduct interdisciplinary innovative research and improve the teaching and learning process with the practical material used. In order to achieve this ambitious result, the Laboratory intends to develop internationally recognized research and methodological programs in order to maintain the high Financial University standards, as far as the research quality and innovation, the high training and research standards are concerned. To achieve the goal, the Laboratory solves the following problems:

  • To build the research infrastructure of the standards compared to the ones available in the world's best research and education centers;
  • To ensure research integration, that is, to ensure proactive participation of the leading international research centers in the development, implementation and quality control of the research programs developed by the Laboratory;
  • To ensure academic integration, that is, cooperation between the Laboratory and the leading Russian and overseas academic research centers;
  • To ensure data integration, that is, to cooperate with the leading data providers providing data for experts in finance; to use their resources in order to develop professional information system use skills in the Financial University students and instructors; to publish Review of Business and Economics Studies English-language peer-reviewed journal dedicated to the world economy issues; and to prepare works to be published in international peer-reviewed journals.
Address: Leningradsky Prospekt, 49/2, room 422 I.V. Lukashenko, Head, e-mail: vlukashenko@fa.ru, tel.: +7916-695-82-10, (499)943-9871, ext. 1472
Educational and Research Laboratory of Sociology Faculty of Social Sciences and Mass Communications, Department of Sociology

The Laboratory is engaged in a wide range of activities aimed at conducting sociological and marketing research. The research findings can help make important managerial decisions. The customers of the commissioned research are the Financial University management and various external organizations.

The Laboratory’s research projects include:

  • Monitoring of the quality of training;
  • Monitoring of the employees’ working conditions and their degree of job satisfaction;
  • Monitoring of economic and financial behavior.
Leningradsky Prospekt, 49, room 515а D.A. Kunizheva, Head, e-mail: dakunizheva@fa.ru, tel.: +7 (499) 943-98-43.
Educational and Research Laboratory of Virtual Reality Faculty of Social Sciences and Mass Communications, Department of Humanities
  • We are engaged in visual support of the program in Philosophy taught at the University;
  • We are engaged in the Financial University Virtual Museum of Money building project.
In the Educational and Research VR Laboratory students can implement various research and educational projects, design research using virtual reality simulation technologies.
The laboratory has modern equipment. You can create projects in various development environments, such as Unity, Unreal Engine, Var Win and others. The VR laboratory is supposed to conduct classes in various disciplines - from practical philosophy to digital methods in the humanities science, as well as perform research and scientific work with students.
The VR laboratory complex will allow students to master professional competencies and gain experience in creating their own projects that can become part of professional portfolios, which will contribute to the successful employment of graduates of the Financial University.
Laboratory projects:
  • visual support of the program in Philosophy taught at the University;
  • virtual Museum of Money.
Leningradsky Prospekt, 51, bld. 1, room 0626 N.A. Orekhovskaya, Head, Department of Humanities, e-mail: naorehovskaya@fa.ru, tel.: (495)249-5286 ext. 0621
Laboratory of the New Media Faculty of Social Sciences and Mass Communications, Department of Mass Communications and Media Business

The key goal of the Laboratory is to give an opportunity to the students to use their knowledge of communication technologies in real-life projects. The Laboratory's activities include the research into the new media platforms, solving practical problems in promoting various companies’ brands and developing students' professional skills in producing and placement of media content on SMM platforms.

Leningradsky Prospekt, 51/1, room 0724 N.I. Kholoptsova, Head, e-mail: nikholoptsova@fa.ru, tel.: +7(499)553-11-93, ext. 1137
Educational and Research Laboratory of Experimental Psychology Faculty of Social Sciences and Mass Communications, Department of Psychology and Human Capital Development

The Laboratory is engaged in teaching and research. For students majoring in Psychology, the Laboratory equipment is used to teach the following courses:

  • Anatomy and Physiology of the Central Nervous System (models of the brain, spinal cord, an eye, and an ear are used):
  • A Practical Training in General Psychology (psychodiagnostic methods, incl. Lüscher color test, MMPI, etc. are used);
  • Experimental Psychology and Psychodiagnostics (laptops with software are used);
  • Counseling Psychology (VR-glasses are used).

For students majoring in other subjects, lessons are organized where the capabilities of a polygraph are demonstrated. The Laboratory staff held two student research conferences. It was part of the student research work. The students in their final year have an opportunity to use psychodiagnostic methods in their research and use the Laboratory equipment when preparing their final graduation papers. We are planning to offer a further education program that is tentatively titled Polygraph as a Tool for Making HR Decisions.

Address: Leningradsky Prospekt, 49, room 501, 502 S.M. Buyanova, Head, e-mail: sbuyanova@fa.ru, tel.: +7 926 424 38 66
Educational and Research Laboratory of Modern IT in Political Analysis Faculty of Social Sciences and Mass Communications, Department of Political Science

The Laboratory’s goals include the following:

  • To advise instructors and students of the Department of Political Science on the ways to build auto-update models based on Big Data;
  • To arrange on-the-job practical trainings and practical trainings for bachelor and master program students of the Department of Political Science, to arrange trainings in the basics of business analysis;
  • To assist the staff of the Department of Political Science in forming researcher teams;
  • To prepare articles for publication in high-ranking journals.
Leningradsky Prospekt, 49, room 415a L.V. Zhukova, Head, e-mail: LVZhukova@fa.ru, tel.: +7 (925) 617 32 27
Educational and Research Laboratory of Web-Based Projects and Research Faculty of Social Sciences and Mass Communications, Department of Political Science

The key goal of the Laboratory is to give the students an opportunity to become engaged in social media work and to learn how to use available SMM tools. The Laboratory staff develop special professional skills in students of the Faculty Social Sciences and Mass Communications, organize practical trainings in the Internet and political content analysis for the final year students; and engage students in promoting the Department of Political Science in social media and messengers.

Leningradsky Prospekt, 49 A.A. Suslova, Head, e-mail: aasuslova@fa.ru, tel.: +7 963 963 98 89
International Laboratory of Public Financial Control (Audit) Faculty of Finance, Department of Financial Control and Treasury Business

The International Laboratory’s goal is to conduct research into public financial control (audit), be engaged in educational activity and methodological research work in the above field in cooperation with the Center for Research, Analysis and Efficiency Assessment of the Supreme Audit Chamber of the Republic of Kazakhstan and other international partners. The Laboratory staff ensure professional development of employees of the Office of the Supreme Audit Chamber of the Republic of Kazakhstan by organizing open lectures and round table discussion sessions as part of the Lektory joint project (in partnership with the Treasury of Russia, the Accounts Chamber of the Russian Federation, the Ministry of Finance of Russia, and the teaching staff of the Gumilyov Eurasian National University). The Laboratory staff arrange international academic mobility programs for the teaching staff of the Financial University and the Gumilyov Eurasian National University, are engaged in development of a list of sector-specific personnel competencies of the Supreme Audit Chamber of the Republic of Kazakhstan, and are going to open a data channel where the Laboratory’s activity is described in VKontakte social media.

The key goals and objectives of the International Laboratory are the following:

  • To offer further education programs in transformational formats of public financial control (audit) in cooperation with the international partners;
  • To open a data channel on public financial control (audit) using the potential of the researchers of the Department of Financial Control and Treasury Business of the Faculty of Finance and the Center for Research, Analysis and Efficiency Assessment of the Supreme Audit Chamber of the Republic of Kazakhstan;
  • To arrange all-Russia or international student and young scholar research competitions related to transformational formats of public financial control (audit);
  • To present independent experts’ reports following the audit conducted by the Supreme Audit Chamber of the Republic of Kazakhstan;
  • To offer video courses related to the public financial control (audit) and the ways it will be developed in the future.
Maly Zlatoustinsky Alleyway 7/ 1, room 301 E.A. Isayev, Head, e-mail: eaisaev@fa.ru, tel.: 8 (499) 503-47-75, ext. 4064
Laboratory of Online Education and Analysis of Education Data Institute of Online Education (IOE)

The Laboratory is engaged in advanced research and educational projects in the following areas:

  • Online technology use in the teaching process at the Institute of Online Education of the Financial University (development of adaptive courses, chat bots, interactive e-learning courses, student self-testing capabilities, etc.);
  • Analysis of the quality of online education provided by the Institute of Online Education of the Financial University (operations with Big Data, educational process analysis, building a set of competencies and individual learning trajectories);
  • Applied research in digitalization of education and neurotechnology, development of neurogames;
  • Development and implementation of EdTech projects (educational simulators).

The Laboratory staff develop educational projects, hold conferences and educational events, publish educational digests, research works, and analytical reports. The Laboratory was opened in March 2020. Since 2020, the Laboratory staff have published 17 articles on didactics, psychology and neuroeducation (including two works indexed by the SCOPUS system, 9 works in the journals included into the list approved by the Russian State Commission for Academic Degrees and Titles, and 6 articles indexed by the Russian Science Citation Index.) The Laboratory staff take part in the Russian and international researcher events and workshops. About 50 presentations were made on topical education digitalization issues during the past 2 years. Instructor’s Digital Workshop is one of the significant projects implemented by the Laboratory. It is aimed at teaching the instructors how to use digital educational technologies. More than 50 webinars were held, with more than 11,000 viewers, and with more than 2,000 participants from 8 countries who represented more than 200 higher education institutions. The Laboratory staff and the Financial University instructors developed the Try an Occupation simulator. It won an award in the special Business Education category in the EdCrunch – 2021 international educational technology products competition. The innovative simulator allows the students to try their hand in the chosen profession in real time. The simulator is built to improve students’ awareness when they make their choice of a profession. The simulator is used in the teaching process when bachelor degree programs are taught at the Financial University. Real Estate Management Lawyer simulator is yet another Laboratory staff product. It shows operational algorithms observed in transactions with various types of real estate, teaches the students to identify risks when registering property rights and handling documents associated with a rent, pledge, purchase, sales of residential and non-residential real estate. In order to include neurotechnology into the learning process, the Laboratory staff examine the experience gained by Russian and overseas researchers, organize tours and conduct master classes for secondary school students, post-secondary school students, university students on the use of neurogadgets in education, using Neuroplay neurogadgets, conduct experiments with students in order to detect the concentration and involvement in the learning process; organize hackathons and neurogames. The Laboratory staff are engaged in the analysis of educational data uploaded from the Moodle learning management system (LMS). Using descriptive and predictive analysis, current IOE students’ academic performance data are generated and forecasts are made. Up-to-date analytical reports and training data reports are prepared regularly. The Laboratory staff also manage educational events and arrange interactive games. Webinars and master classes for instructors were held as part of the Instructors’ Winter and Summer School -2021/2022 (more than 10 presentations were made). More than 20 presentations were made during Lan and Yurait electronic library system-related events in 2020-2022.

We have implemented secondary school student, post-secondary school student, university student projects, incl. the following:

  • /be_neuro> Neurogame (2021/2022);
  • I want to study this in an online mode (2020/2021);
  • IOE Professionals’ Cup-2022;
  • Digital Impact: Society, Economics, Innovations International Student Research Online Conference where more than 1,500 students participated; abstracts of works were published in a collection of works indexed by the Russian Science Citation Index in 2021 and 2022.
  • Career guidance events were organized, incl. the following:
  • FinRise competition for secondary school students in 2022;
  • Open Door Day for bachelor and master program applicants in 2021 and 2022;
  • Squadruga_Games Career Championship for secondary school students, bachelor and master degree program students in 2022

Our partners:

The Laboratory for Online Learning and Education Data Analysis closely cooperates with the International Association of Financial and Economic Education Institutions, Yurait and Lan e-library systems, Innopolis University, Neurobotics OOO, Simulizator.com, and other partners.

What the media said about us
  • Our Laboratory was mentioned in the annual review of educational technologies market made by Sber University in 2021.
  • Our award in the special Business Education category in the EdCrunch – 2021 international educational technology products competition was mentioned.
  • TASS news agency and VC.RU mentioned our Laboratory when reporting on neurotechnology in education.
Oleko Dundicha Street, 23, room А118. Ye. O. Vyatkina, Head, e-mail: eovyatkina@fa.ru, tel.: 8(499)277-2841 ext. 1315

CYBERHUB is a center where virtual reality-based educational technology and VR research methodology is implemented. Today, VR-based technology use in education is considered to be very promising. VR presents data in such a way that students can make use of a full-fledged three-dimensional model of an object. VR-based technology is especially useful when students need to absorb a large amount of data. VR technology-based education helps instructors improve the transmission of educational content and allows the users (that is, students) to see the content and interact with it. Full immersion helps the students to better progress in the learning process. Moreover, if the VR is used, less effort and time are required from the student to fully process the information.

Why should we introduce virtual technologies into the Financial University learning process?

  • The sector, market and industry develop rapidly, new technologies emerge that improve and accelerate the educational process;
  • Various universities around the world engage the VR-based technology in the learning process;
  • It is a completely new format of education digitalization;
  • Students and applicants are quite interested in taking interactive courses;
  • It provides an opportunity to occupy top positions in the national and international university rankings;
  • It provides an opportunity to attract new sponsors and partners.

VR-based Technology Capabilities

Virtual classrooms make it possible for the instructor to open any number of windows with data presented in various manners (as a PDF file, as a Power Point presentation, as an Excel file, etc.); use an Internet browser to solve any types of problems (testing using Kahoot system, showing a video clip on YouTube, etc.); use a virtual board for writing, make students solve problems, both on the board and on their computers. The instructor does not need to worry as you cannot possibly cheat when the virtual board is used, and the instructor can ask a system administrator for help. The system administrator is in the Center’s classroom.

VR -based technology used in education

The VR simulator is a method of rationalizing the process of knowledge acquisition. It presents information to the students from a new perspective, while speeding up the learning process.

Today, the staff of the Center have selected VR-technology based programs that can be used when teaching the following courses:

  • Public Speech (basics of business communication and public speech);
  • Cryptocurrency, BlockChain Technology and Digital Money;
  • Mathematical Analysis and Visualization of Functions;
  • Logic and Theory of Reasoning;
  • Programming in Java, C# and JS;
  • Foreign Language;
  • Emergency Management
Leningradsky Prospekt, 49, room 520 G.A. Ivanov, Director; e-mail: GAIvanov@fa.ru, tel.: +7 (495)249-5205, +7(499)553-12-10