HSE Develops Its Own MLOps Platform
HSE researchers have developed an MLOps platform called SmartMLOps. It has been created for artificial intelligence researchers who wish to transform their invention into a fully-fledged service. In the future, the platform may host AI assistants to simplify educational processes, provide medical support, offer consultations, and solve a wide range of other tasks. Creators of AI technologies will be able to obtain a ready-to-use service within just a few hours. Utilising HSE’s supercomputer, the service can be launched in just a few clicks.
Many researchers working in AI development lack sufficient experience in building web services, managing distributed computing resources, system administration, information security, and deployment process automation. SmartMLOps was created to help eliminate the need to learn additional technologies and to address issues of repeatability and reproducibility in machine learning experiments.
The project partners include the HSE AI Research Centre, the School of Software Engineering at the HSE Faculty of Computer Science, and the HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM). Experienced and highly qualified HSE specialists are involved in the development and deployment of the MLOps platform.
According to the project lead, Hadi Saleh, the platform is already undergoing pilot testing. Its primary goal is to reduce the time and resources required to deliver product-level services. SmartMLOps ensures the necessary level of reliability, security, and transparency in the use of AI technologies. It allows developers to save time on non-core activities such as system administration, DevOps, and CI/CD. The platform provides a unified graphical interface through which users can create a repository with an AI module template, access models, a monitoring system, orchestrators, and the supercomputer, as well as track their services’ metrics and promptly address issues.
To create a multifunctional, user-friendly, and modern service, the platform’s developers tackled the complex challenge of integrating HSE’s cHARISMa supercomputer cluster into cloud computing. The platform is based on a microservice architecture, with the main component being a framework developed by the HSE AI Research Centre.
Hadi Saleh
‘The platform's functionality includes the creation, storage, versioning, training and fine-tuning of AI models; the deployment of ready-made models as product services with REST APIs; the construction of training pipelines; the monitoring of services and the overall state of computing resources; the ability to use data from HSE’s corporate information systems; and access to cloud storage and supercomputer resources. The framework itself and the first AI modules have already been deployed, and analytical dashboards for monitoring the platform’s status have been implemented. A special autoscaling technology was developed and introduced to save resources,’ said Hadi Saleh.
Unlike commercial solutions such as Amazon SageMaker or Google AI, SmartMLOps is primarily aimed at researchers and students at HSE. To gain access, they simply need to submit an application and await approval. Until the end of 2025, anyone interested may take part in the platform's pilot use.
A special ETL process was developed to securely extract and anonymise information from HSE’s corporate systems. This helps in analysing student behaviour and building predictive models, for example, to forecast career prospects.
Elena Kozhina
‘We expect that the implementation of the SmartMLOps system will mark a significant milestone in accelerating the development of AI-based services at our university,’ noted Elena Kozhina, Deputy Vice Rector and project curator.
At present, eight AI models have been deployed on the platform, and integration has been carried out with three of HSE’s corporate information systems. Two subsystems of the MLOps platform, developed with the involvement of specialists from the Faculty of Computer Science and MIEM, have been registered with the Russian Federal Service for Intellectual Property (Rospatent).
Sergey Lebedev
‘The development of such an ambitious and promising infrastructure project posed a considerable challenge and a timely necessity for the university. SmartMLOps enables the simultaneous solution of research, educational, and administrative tasks of various scales and levels. We managed to form a unique team of professionals and involve students and research assistants in the process,’ said Sergey Lebedev, Head of the School of Software Engineering at the HSE Faculty of Computer Science.
Anton Sergeev
Anton Sergeev, Director of the Centre for Software Development and Digital Services at HSE MIEM, emphasised that systematic work with AI models is impossible without MLOps platforms, which support the full lifecycle of models—from data import and cleaning to controlling the outcomes. ‘Such high-tech projects set a benchmark for AI leadership not only within our university, but across the country as a whole. They represent HSE’s scientific excellence in the form of a system that will assist ML specialists in applying AI models to a wide range of real-world problems,’ he said.
Pavel Kostenetskiy
Pavel Kostenetskiy, Head of the Supercomputer Modelling Unit, gave the service high praise. ‘The MLOps platform will make it easier for HSE researchers working in AI to access the ‘cHARISMa’ supercomputing cluster and will lower the entry threshold into high-performance computing. In a sense, HSE’s supercomputer will appear like a cloud within this MLOps platform, which many will find convenient,’ concluded Pavel Kostenetskiy.
See also:
HSE University to Host BRICS International School: New Generation
Registration for the BRICS International School: New Generation, one of the leading international educational projects aimed at prospective leaders interested in the agenda of global development and cooperation within the framework of BRICS, has opened.
HSE University Strengthens Ties with Peking University
On July 21, 2025, representatives from Peking University led by Zhang Jin, Vice President of Peking University and Chancellor of Shenzhen Graduate School, paid a visit to HSE University. The delegation included forty students, teachers, and administrators. During their visit, leaders from both universities discussed potential areas for future collaboration, and representatives from three HSE University departments held meetings with Chinese students.
HSE University Brings Together Researchers at International AI Summer Institute in Shanghai
In early July 2025, the International Summer Institute on Artificial Intelligence in Education took place in Shanghai. It was organised by the HSE Institute of Education in cooperation with East China Normal University (ECNU). More than 50 early-career researchers and keynote speakers from nine countries—ranging from Russia and China to Canada and Singapore—gathered to share the latest findings from their work and to forge new international partnerships.
'We Are Now Nearing Practical Application of a Stimulus-Free Brain-Mapping System'
Neural interfaces developed by scientists at HSE University in collaboration with clinicians make it possible to communicate with the brain and decode its signals. The use of such interfaces opens up opportunities to stimulate brain activity, restore and normalise muscle control in patients who have suffered a stroke, heart attack, or other neurological disorders, and support the rehabilitation of individuals with traumatic brain injuries or limb loss. Alexey Ossadtchi, Director of the Centre for Bioelectric Interfaces at the HSE Institute for Cognitive Neuroscience, discusses the centre and its work.
HSE University Presents Smart Orthosis at Hope for Technology Forum
On July 10–11, 2025, Moscow hosted the 10th Hope for Technology National Forum of the Rehabilitation Industry and Universal Design. The event was aimed at discussing innovative achievements in the rehabilitation industry. The MIEM Student Design Bureau and the HSE Institute for Cognitive Neuroscience presented a smart orthosis, which was developed at the request of orthopedists.
Experts Assess How BRICS Countries’ Education Systems Are Evolving
The BRICS Expert Council–Russia, based at HSE University and operating in collaboration with the HSE Institute of Education, has released an analytical report titled ‘The Transformation of General Education in BRICS Countries.’ The study explores how BRICS nations are addressing shared challenges, including equitable access to schooling, digital integration, support for inclusion, linguistic diversity, and intercultural dialogue.
Centre for Language and Brain Conducts First Neurolinguistic Field Study of Reading in Yakut
In July, a team from the HSE Centre for Language and Brain, in collaboration with the Centre for the Study, Preservation, and Development of Native Languages of the Academy of Sciences of the Republic of Sakha (Yakutia), conducted the first-ever neurolinguistic expedition to the village of Churapcha to study reading in the Yakut language using electroencephalography (EEG). For the first time, EEG data from 43 adults and behavioural data from 40 children was collected during the two-week expedition.
HSE Neurolinguists Reveal What Makes Apps Effective for Aphasia Rehabilitation
Scientists at the HSE Centre for Language and Brain have identified key factors that increase the effectiveness of mobile and computer-based applications for aphasia rehabilitation. These key factors include automated feedback, a variety of tasks within the application, extended treatment duration, and ongoing interaction between the user and the clinician. The article has been published in NeuroRehabilitation.
HSE University Strengthens Ties with Central Asia
Experts from the HSE Faculty of Urban and Regional Development (FURD) took part in the international forum ‘The SCO in the Era of Digital Diplomacy: Scientific Initiatives for Global Balance.’ The event, held in Astana, was organised by the Eurasian Association for International Studies and the Institute for the Study of Regional Integration (Kazakhstan).
Scientists Develop AI Tool for Designing Novel Materials
An international team of scientists, including researchers from HSE University, has developed a new generative model called the Wyckoff Transformer (WyFormer) for creating symmetrical crystal structures. The neural network will make it possible to design materials with specified properties for use in semiconductors, solar panels, medical devices, and other high-tech applications. The scientists will present their work at ICML, a leading international conference on machine learning, on July 15 in Vancouver. A preprint of the paper is available on arxiv.org, with the code and data released under an open-source license.