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Regular version of the site

Research & Expertise news at HSE University

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May 6, 16:00

Linguistic Convergence Laboratory Seminar: Phonological Adaptation of Russian Borrowings in Avar-Andic Languages

May 17 – May 18
S.-T. Yau College Student Mathematics Contest

Registration deadline - April 30 

May 23 – May 24
7th International Russia Longitudinal Monitoring Survey of HSE User Conference

Deadline for proposal submission: March 23, 2025 

Jun 6
India Day 2025 at IOCS

Application deadline: May 20 

Illustration for news: Cerium Glows Yellow: Chemists Discover How to Control Luminescence of Rare Earth Elements

Cerium Glows Yellow: Chemists Discover How to Control Luminescence of Rare Earth Elements

Researchers at HSE University and the Institute of Petrochemical Synthesis of the Russian Academy of Sciences have discovered a way to control both the colour and brightness of the glow emitted by rare earth elements. Their luminescence is generally predictable—for example, cerium typically emits light in the ultraviolet range. However, the scientists have demonstrated that this can be altered. They created a chemical environment in which a cerium ion began to emit a yellow glow. The findings could contribute to the development of new light sources, displays, and lasers. The study has been published in Optical Materials.

Illustration for news: IX All-Russian Scientific Student Conference: Supporting Early-Career Scientists

IX All-Russian Scientific Student Conference: Supporting Early-Career Scientists

The IX All-Russian Scientific Student Conference has taken place at the Nizhny Novgorod campus of HSE University, bringing together almost 200 early-career researchers and experts from 14 cities across Russia, from Kaliningrad to Vladivostok, as well as representatives from the African continent.

Illustration for news: Genetic Prediction of Cancer Recurrence: Scientists Verify Reliability of Computer Models

Genetic Prediction of Cancer Recurrence: Scientists Verify Reliability of Computer Models

In biomedical research, machine learning algorithms are often used to analyse data—for instance, to predict cancer recurrence. However, it is not always clear whether these algorithms are detecting meaningful patterns or merely fitting random noise in the data. Scientists from HSE University, IBCh RAS, and Moscow State University have developed a test that makes it possible to determine this distinction. It could become an important tool for verifying the reliability of algorithms in medicine and biology. The study has been published on arXiv.

Illustration for news: 'I Would Be Interested to Speak with Chinese Farmers'

'I Would Be Interested to Speak with Chinese Farmers'

Veronika Smirnova studies China's approach to global food security and has spent a year at Renmin University in Beijing. In this interview with the HSE Young Scientists project, she speaks about Xi Jinping's flagship initiatives, her interest in John Boyd Orr of the UN Food and Agriculture Organization (FAO), and her love for malatang and xiao long bao.

Illustration for news: Artificial Intelligence as a Catalyst for Sustainable Development

Artificial Intelligence as a Catalyst for Sustainable Development

Artificial intelligence is transforming every aspect of life, expanding both our capabilities and our boundaries. At the same time, it presents new challenges for humanity, including concerns about safety, ethics, and environmental sustainability. Today, each neural network leaves a significant carbon footprint. However, with responsible management, AI has the potential to benefit the planet and become a cornerstone of a sustainable future economy. Panos Pardalos, Academic Supervisor of the Laboratory of Algorithms and Technologies for Network Analysis at the HSE Campus in Nizhny Novgorod, emphasised this point as he addressed the XXV Yasin (April) International Academic Conference on Economic and Social Development.

Illustration for news: Stuck in the Net: How Much Time Children Spend Online

Stuck in the Net: How Much Time Children Spend Online

On average, a schoolchild spends 48 hours a week on studies—equivalent to a six-day working week for an adult. This was highlighted by experts at the round table ‘Domains of Children’s Well-Being Evaluation for Human Potential and Evidence-Based Social Policy Development,’ held as part of the 25th Yasin (April) International Academic Conference.

Illustration for news: 'The Six Handshakes Rule Applies to Social Media'

'The Six Handshakes Rule Applies to Social Media'

Ivan Samoylenko specialises in graph theory; in his third year of university, he developed an idea that later became the foundation of a highly cited academic article. In this interview with the HSE Young Scientists project, he speaks about the Watts-Strogatz small-world model, being a performer in the Bolshoi Children's Choir, and making the choice between science and industry. 

Illustration for news: HSE Develops Its Own MLOps Platform

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.

Illustration for news: Habits Stem from Childhood: School Years Found to Shape Leisure Preferences in Adulthood

Habits Stem from Childhood: School Years Found to Shape Leisure Preferences in Adulthood

Moving to a big city does not necessarily lead to dramatic changes in daily habits. A study conducted at HSE University found that leisure preferences in adulthood are largely shaped during childhood and are influenced by where individuals spent their school years. This conclusion was drawn by Sergey Korotaev, Research Fellow at the HSE Faculty of Economic Sciences, from analysing the leisure habits of more than 5,000 Russians.

Illustration for news: Russian Scientists Reconstruct Dynamics of Brain Neuron Model Using Neural Network

Russian Scientists Reconstruct Dynamics of Brain Neuron Model Using Neural Network

Researchers from HSE University in Nizhny Novgorod have shown that a neural network can reconstruct the dynamics of a brain neuron model using just a single set of measurements, such as recordings of its electrical activity. The developed neural network was trained to reconstruct the system's full dynamics and predict its behaviour under changing conditions. This method enables the investigation of complex biological processes, even when not all necessary measurements are available. The study has been published in Chaos, Solitons & Fractals.