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News
April 30, 2026
HSE Researchers Compile Scientific Database for Studying Childrens Eating Habits
The database created at HSE University can serve as a foundation for studying children’s eating habits. This is outlined in the study ‘The Influence of Age, Gender, and Social-Role Factors on Children’s Compliance with Age-Based Nutritional Norms: An Experimental Study Using the Dish-I-Wish Web Application.’ The work has been carried out as part of the HSE Basic Research Programme and was presented at the XXVI April International Academic Conference named after Evgeny Yasin.
April 30, 2026
New Foresight Centre Study Identifies the Most Destructive Global Trends for Humankind
A team of researchers from the HSE International Research and Educational Foresight Centre has examined how global trends affect the quality of human life—from life expectancy to professional fulfilment. The findings of the study titled ‘Human Capital Transformation under the Influence of Global Trends’ were published in Foresight.
April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.

 

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Proceedings of the Second ACM SIGCOMM workshop on Hot topics in Software Defined Networking (HotSDN-2013)

NY : ACM Press, 2013.
Academic editor: N. Foster, R. Sherwood
In press
Chapters
Towards Efficient Implementation of Packet Classifiers in SDN/OpenFlow
Kogan K., Nikolenko S. I., Culhane W. et al., , in: Proceedings of the Second ACM SIGCOMM workshop on Hot topics in Software Defined Networking (HotSDN-2013).: NY: ACM Press, 2013. P. 153–154.
Traffic classification is a core problem underlying efficient implementation of network services. In this work we draw from our experience in classifier design for commercial systems to address this problem in SDN and OpenFlow. We identify methods from other fields of computer science and show research directions that can be applied for efficient design of ...
Added: September 24, 2013
Priority areas: IT and mathematics
Language: English
Keywords: schedulingnetworkingсетевые алгоритмыpacket classification
Proceedings of the Second ACM SIGCOMM workshop on Hot topics in Software Defined Networking (HotSDN-2013)
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Ising models on the hydrogen peroxide and other lattices
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We perform a Monte Carlo analysis of the Ising model on many three-dimensional lattices. By means of finite-size scaling we obtain the critical points and determine the scaling dimensions. As expected, the critical exponents agree with the three-dimensional Ising universality class for all models. The irrelevant field, as revealed by the correction-to-scaling amplitudes, appears to ...
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Iterative Ricci-Foster Curvature Flow with GMM-Based Edge Pruning: A Novel Approach to Community Detection
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