The Big Data Analytics section aims to advance research projects related to applied methods of artificial intelligence. Special attention is given to advanced machine learning, image processing and computer vision, audio and speech processing, text analysis, and database management systems. Mastery of data skills is valuable in business, science, and education, requiring a deep understanding of mathematics and statistics. Analysts are capable of conducting research, formulating hypotheses, and visualizing data. The section’s participants are invited to present their research and projects in order to enrich the section’s overview of contemporary achievements in data analytics.

• Here, you will learn to create, adapt, and apply artificial intelligence and data analysis algorithms to various subject areas.
• You will gain advanced knowledge of machine learning techniques, storage and processing of structured and unstructured data, text mining, and computer vision.
• We will not limit ourselves to theory: you will also solve practical problems in deep learning, image processing, and text-based natural language processing.
• Our students participate in scientific research and development in the field of computer vision with the program’s partner organization, research-and-production enterprise Videomix.

Partner:

RPE Videomix is the only company in Russia that develops hardware-software suites in the field of biometric video analytics. The products are aimed at providing decision support to specialists in various applied fields. These unique systems allow for the assessment of human behavioral reactions, identification of individuals with deviant behavior, evaluation of a person's psycho-emotional state, and completion of other relevant tasks in the field of biometric video analytics.

This section addresses issues related to the use of statistics; descriptive and predictive data mining tools; optimization tools and modeling techniques; as well as ecology, resource conservation, chemical technologies, and geosecurity. The ultimate goal of all these tools is decision-making, optimization of technological and business tasks, and the identification of opportunities to produce the best forecasts, detect patterns, and determine trends in resource consumption and humanity's ecological footprint.

The section welcomes Bachelor’s, Master’s, PhD students, and young scientists.

Recent advancements in artificial intelligence have led to promising achievements in biology and medicine. In this context, machine learning has proven to be a powerful tool for both gaining new insights into biological and medical data and for achieving various goals and exploring new alternative methodologies for solving complex biomedical and bioengineering problems in a more automated manner. The main focus of the section is on applying information technology to address issues in biology and medicine, advancements in molecular modeling, bioinformatics, and chemometrics, and exploring the use of AI, machine learning, and computer modeling for breakthrough achievements in these fields.

This section is dedicated to research projects at various stages of implementation that utilize an interdisciplinary approach in the fields of chemistry and biotechnology. The presented projects may combine experimental research methods and computational modeling methods, as well as information technology tools. We invite Bachelor’s, Master’s, and PhD students involved in both fundamental and practice-oriented projects to participate.

ITMO University’s Infochemistry Scientific Center implements educational Bachelor’s and Master’s programs in which students are engaged in various scientific research projects and use information technology tools in a wide range of areas, including fundamental science, food technologies, agriculture, and oil refining.

This section is dedicated to projects in the field of optoelectronic instrumentation, as well as the calculation and modeling of the operation of devices used to solve practical problems in various fields of science and technology. The development of such devices typically relies on knowledge from many areas: fundamental physics, spectral analysis, computational optics, the theory of optical radiation sources and receivers, and signal detection and processing.

We invite everyone who wishes to share their ideas and represent their teams working in the following areas:

• imaging optics
• illumination optics
• spectral instruments
• laser optics
• sources and receivers for optical devices
• space optics and optics for flying vehicles
• design of optical and optoelectronic devices and instruments
• data acquisition and processing in optoelectronic devices

We invite young scientists to showcase their work in the field of machine vision! Both students and industry professionals are welcome to share their experiences, results, and plans.

Our section’s partners are LLC Special Technology Center (LLC STC) and Joint Stock Company United Metallurgical Company (JSC OMK). A presentation contest will be held in nominations curated by our partners.

This section focuses on contemporary interdisciplinary research in the fields of technological management and innovation. We welcome researchers who study society/technology/innovation/economics in the context of modern challenges. Participants may present results of both applied empirical and theoretical studies or discuss their methodological aspects.

ITMO’s Faculty of Technological Management and Innovations is a leader in technological management and innovative entrepreneurship. It is home to a unique community that sets the direction for management education, creates trends within the startup community, and fosters collaboration between science, business, and education in Russia.

We invite the students and young researchers of ITMO University to participate in an interdisciplinary section dedicated to scientific communication, health sciences, digital methods in humanities, science art, and product design. You will have the opportunity to showcase projects focused on building public trust in science, technology, medicine, and data-driven management decisions, as well as the production of such data through digital transformation and critical examination of the anthropocentric worldview.

We’re not ITMO’s resident humanities scholars; we’re specialists from various fields who work with science and technology, study and influence the public trust in these topics, and create useful and user-friendly solutions using methods from art, design, marketing, PR, programming, and product approaches. We study and promote evidence-based practices in science, technology, and medicine and work with diverse audiences.

This section is dedicated to scientific and engineering creativity across various fields of science and technology. It will also feature an exhibition where you can demonstrate the results of your work. A roundtable discussion is planned on the topic Scientific and Engineering Creativity and the Development of the Nation’s Human Resources, where organizers of clubs, communities, and engineering workshops will be able to exchange their experience.

Do you have a product? Bring it along! Do you have a work-in-progress? Tell us about it! If you are the head of a project or a student team, register to participate in the discussion!

OLIMP is a community of both novice and experienced specialists in various fields: creativity, technology, science, programming, mentoring, and more. It is not just a resource center or a conventional laboratory; OLIMP is a community for passionate individuals open to collaboration.

The school is dedicated to a wide range of topics related to algebra, number theory, discrete mathematics, mathematical physics, and their applications. The lectures will be of interest to both students of mathematical specializations and young researchers who utilize modern mathematical tools. We will discuss topics in commutative algebra and number theory, algebraic geometry and topology, group theory and Lie algebras and their representations, certain issues of mathematical physics and functional analysis, probability theory and stochastic processes, mathematical logic, and computer science.

Description of lectures: https://mathdep.itmo.ru/lections/

The Research and Educational Center for Mathematics

At the foresight session of the Student Research Association (SRA), we will focus on three key areas: student motivation, mentoring, and the development of SRA. We will discuss methods of increasing student engagement and interest in scientific activities, as well as the best mentoring practices to support their growth. Additionally, we will explore strategic development paths for the SRA with the goal of strengthening and expanding its role in the educational process.

The Student Research Association of ITMO is a voluntary association of students involved in scientific research, innovation, and educational activities within the university.
We believe that the exchange of ideas fosters a broader and deeper understanding of scientific subjects across various disciplines.
Our goal is to assist students in developing the professional skills necessary for a successful scientific career.

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The roundtable discussion will feature a wide range of reports across various fields of linguistics. All presentations will be delivered in foreign languages, including Russian as a foreign language (RFL). Special emphasis will be placed on interdisciplinarity, the use of scientific approaches, and the practical significance of the presented results.

Address: Московский государственный лингвистический университет г. Москва, ул. Остоженка, д. 36

We invite you to a meetup dedicated to scientific open source developments!

The meetup is organized by the ITMO.OpenSource community with the support of the "Strong AI in Industry" Research Center. The meetup is useful for both students interested in team development experience and scientists who want to expand their professional horizons and improve the quality of their code by implementing new practices. Information about past meetups (broadcast recordings, talk topics, and photos) can be found on our ODS hub.

Регистрация в качестве докладчика:

If you have a scientific open source project, experience in developing open solutions or a pet project that you have long wanted to talk about, register with a report. To register, write to eailinskaya@itmo.ru with the subject "Scientific Open Source Meetup".