• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

HSE MIEM and Ozon Launch Joint Workshop on AI Systems Security

HSE MIEM and Ozon Launch Joint Workshop on AI Systems Security

© HSE University

The Machine Learning in Information Security workshop is being launched as part of a strategic cooperation agreement between the HSE Tikhonov Moscow Institute of Electronics and Mathematics (HSE MIEM) and Ozon. The programme will train specialists capable of ensuring the security of artificial intelligence systems. Students will study methods for protecting large language models and develop tools aimed at improving the resilience of AI systems to attacks.

HSE MIEM and Ozon signed a cooperation agreement aimed at enhancing the quality of IT education, as well as developing and updating academic programmes and course syllabi. The agreement was signed on March 24, 2026, at HSE MIEM.

Ozon Tech is responsible for IT development across various areas of Ozon’s digital platform, including customer and seller applications, automated warehouse systems, and developer platforms, as well as information security and much more. The team currently includes more than 8,000 IT engineers.

As part of the agreement, a unique workshop is being launched at HSE MIEM, where students will work at the intersection of machine learning and digital platform security. The main objective is to train specialists capable of ensuring the security of modern AI systems. The new workshop follows a practice-oriented format: students will work on real industry tasks together with company engineers.

Students will explore methods for protecting large language models, analyse vulnerabilities, and develop mechanisms to improve the resilience of AI systems against various types of attack. In addition, significant attention will be given to teaching methods for identifying and assessing the risks of integrating AI into company processes, as well as designing secure architectures for AI-powered products.

Oleg Evsyutin

‘Ensuring the security of artificial intelligence systems is a new area within cybersecurity that requires training a new type of specialist at the intersection of disciplines—professionals who are well versed in AI technologies while also possessing a comprehensive foundation in information security. Such competencies can only be developed through work on practical tasks drawn from the real sector. The educational model we will apply in the workshop fully reflects these requirements,’ emphasised Oleg Evsyutin, Head of the School of Cybersecurity Studies at HSE MIEM.

The practical approach to learning will be supported by real projects supervised by Ozon experts. Students will have the opportunity to work with advanced information security technologies, develop teamwork skills, and build a portfolio of real-world projects. Experts will help students analyse industry challenges, apply theory in practice, develop engineering thinking, and prepare and defend their solutions.

Dmitry Kovalenko

‘Today, the security of AI systems is a promising research field with many unknowns, and it is still at an early stage of development,’ said Dmitry Kovalenko, HSE Vice Rector and Director of HSE MIEM. ‘The demand for such protection is growing ever stronger. That is precisely why we are launching a specialised workshop for HSE students today. Choosing an industry partner for a new initiative like this is a strategic task for MIEM. Ozon Tech is a team with a high level of practical expertise, supporting advanced IT infrastructure used by tens of millions of people and actively incorporating AI. We are sincerely grateful to our colleagues for supporting our educational projects. This year, we are also launching a new Master’s programme in Information Security of AI Systems, whose graduates will be in high demand among HSE’s major employer partners.’

Kirill Myakishev

‘The Ozon Tech Information Security Workshop at HSE MIEM will fully immerse students in solving real-world practical tasks at the intersection of machine learning and cybersecurity—challenges that IT specialists on our digital platform work on every day,’ noted Kirill Myakishev, Chief Information Security Officer at Ozon. ‘In IT disciplines, it is particularly important to build a strong portfolio of real practical cases and to gain hands-on knowledge and skills that will be needed in future work. In our workshop, students will be able to gain this experience without interrupting their university studies. Ozon experts will act as mentors and share their own development experience with the students. The cooperation agreement with HSE MIEM will be another step for us in developing the national IT community, strengthening communication between academia and big tech, and helping us build a strong talent pipeline.’

Participation conditions include a flexible working schedule of 15–20 hours a week, allowing students to combine work in the workshop with their main academic programme. The workshop is open to HSE University IT students interested in developing a career in information security. Applicants will need to complete several stages: submitting an application, completing a test assignment, and attending an interview. The number of places in the workshop is limited.

Further details are available on the workshop’s website (in Russian).

See also:

HSE University Expands Cooperation with Malaysia in Technology Foresight

HSE University researchers will take part in a study of the future of engineering education in Malaysia, while the Malaysian Industry-Government Group for High Technology (MIGHT) will use the iFORA big-data analysis system to validate the findings of its foresight research. These are the outcomes of a visit by HSE representatives to Kuala Lumpur.

Scientists Train Neural Network to Generate Process Plans from 3D Models

Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

Biologists Discover 'Molecular Fingerprint' of Preeclampsia

Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.

Laboratory of Future Networks: HSE Telecommunications Research Institute Develops 5G/6G Research Testbed

The 5G/6G testbed at the HSE Telecommunications Research Institute is becoming a research platform, an educational laboratory, and a foundation for developing new software components for future networks. It makes it possible not only to observe how a mobile network operates, but also to change its operating conditions and measure the results: data-transmission speed, latency, errors, radio-resource utilisation, and other parameters. Based on the testbed, researchers plan to develop MIMO, O-RAN, xApp, and IAB technologies, as well as experiment with artificial intelligence.

‘Hedgehog’ Versus ‘Relatives’: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech

Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.

Hybrid Intelligence: Competencies in the Age of AI Discussed at Technoprom-2026

Artificial intelligence is not creating new professions, but rather transforming the nature of existing ones. This was the conclusion reached by participants in the panel session ‘Hybrid Intelligence: Digital and Human Drivers of Development,’ organised by the Institute for Statistical Studies and Economics of Knowledge (ISSEK) at HSE University as part of the 13th International Forum of Technological Development (Technoprom-2026). The experts discussed how the nature of work is changing, which skills are becoming increasingly sought after, and what prevents companies from fully capitalising on new technologies.

Scientists Develop New Solution for 6G Communication Systems

A terahertz neuromorphic circuit developed by scientists at HSE University could make 6G communication systems both more accurate and energy-efficient. The circuit enables indoor tracking of mobile devices with an accuracy of up to 99%. The results were presented at PIERS 2026, an international symposium on Photonics and Electromagnetism held in China.

Scientists Develop Algorithm for More Reliable Processors in Data Centres

Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.

Researchers Rank Recommendation Algorithms Using Sports Tournament Model

Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed an approach for selecting recommendation algorithms more effectively. Their approach uses pairwise comparisons of algorithms to create a tournament table, with the overall ranking based on their performance across all datasets in the tournament. This can reduce the number of algorithms that need to be tested when developing new services, saving both time and money. The study was presented at the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026).

Researchers Develop Method for Direct Generation of Regulatory DNA

Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’