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News
November 10, 2026
Physicists Train AI to Optimise Particle Beams in Accelerators
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science and the Budker Institute of Nuclear Physics at the Siberian Branch of the Russian Academy of Sciences have developed RLABC (Reinforcement Learning for Accelerator Beamline Control), a framework that uses reinforcement learning to identify optimal settings for a particle accelerator. In a computer simulation, RLABC optimised the accelerator's parameters to achieve a particle transmission rate of 70%. The study has been published in Computer Physics Communications.
November 9, 2026
'Organ-on-a-Chip Technology Could Eliminate the Need for Animal Testing'
The Laboratory of Molecular Physiology at the HSE Faculty of Biology and Biotechnology investigates how molecular regulators known as microRNAs control gene expression and contribute to the development of diseases, including cancer, viral and inflammatory conditions, and pregnancy complications. At HSE University, researchers develop organ-on-a-chip models: miniature devices containing living cells that mimic the functions of human organs, such as the placenta and intestines. These models help researchers understand how diseases develop and how drugs affect them. HSE News Service spoke with Evgeny Knyazev, Head of the Laboratory.
November 9, 2026
Flattened Terrain Models Underestimate Vehicle-to-Vehicle Communication Outages
Researchers at HSE MIEM have shown that widely used simulators of vehicle-to-vehicle communication significantly overestimate its reliability because they assume flat terrain. When terrain features, bridges, and tunnels are taken into account, the outage rate on a mountain serpentine road rises from 21% to 30%, on an overpass from 20% to 33%, and in a tunnel from 0% to 80%. The results have been published in Future Transportation.

 

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Optimization, Simulation, and Control

Issue 76. NY : Springer, 2013.
Under the general editorship: Chinchuluun A., Pardalos P. M., Rentsen E., Pistikopoulos E.

Optimization, simulation and control are very powerful tools in engineering and mathematics, and play an increasingly important role. Because of their various real-world applications in industries such as finance, economics, and telecommunications, research in these fields is accelerating at a rapid pace, and there have been major algorithmic and theoretical developments in these fields in the last decade.

This volume brings together the latest developments in these areas of research and presents applications of these results to a wide range of real-world problems.

  • - Collection of selected contributions giving a state-of-the-art account of recent developments in the field
  • - Covers a broad range of topics in optimization and optimal control, including unique applications
  • - Written by an international group of experts in their respective disciplines
  • - Broad audience of researchers, practitioners, and advanced graduate students in applied mathematics and engineering
Research target: Mathematics Computer Science
Priority areas: management mathematics engineering science
Language: English
Sample Chapter
Keywords: оптимальные системыnumerical analysisapplied optimizationcontrol theorymathematical modeling and simulationnonlinear optimizationvariational inequalitiesматематическая теория управленияоптимальное управление
Optimization, Simulation, and Control
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