Гущин Михаил Иванович
Факультет компьютерных наук
Профессиональные интересы
Должности
- Заместитель заведующего лабораторией — Факультет компьютерных наук, Институт искусственного интеллекта и цифровых наук, Научно-учебная лаборатория методов анализа больших данных
- Ведущий научный сотрудник — Факультет компьютерных наук, Институт искусственного интеллекта и цифровых наук, Научно-учебная лаборатория методов анализа больших данных
- Доцент — Факультет компьютерных наук, Департамент больших данных и информационного поиска
Био
- · Начал работать в НИУ ВШЭ в 2017 году.
- · Научно-педагогический стаж: 8 лет.
Образование
- 2020 · Кандидат наук: Московский физико-технический институт (национальный исследовательский университет)
- 2019 · Аспирантура: Московский физико-технический институт (национальный исследовательский университет), специальность «Информатика и вычислительная техника»
- 2015 · Магистратура: Московский физико-технический институт (государственный университет), специальность «Прикладные математика и физика», квалификация «Магистр»
- 2013 · Бакалавриат: Московский физико-технический институт (государственный университет), специальность «Прикладные математика и физика», квалификация «Бакалавр»
Опыт работы
- · 2014 - 2017: Исследователь-разработчик в OOO "Яндекс"
Награды и поощрения
- · Благодарность первого проректора НИУ ВШЭ (август 2024)
- · Благодарность НИУ ВШЭ (май 2024)
- · Благодарность проректора НИУ ВШЭ (сентябрь 2022)
- · Благодарность факультета компьютерных наук НИУ ВШЭ (август 2022)
- · Надбавка за публикацию в журнале из Списка А (и приравненном к нему научном издании) (2025–2026, 2024–2025, 2023–2024)
- · Надбавка за публикацию в международном рецензируемом научном издании (2022–2023, 2021–2022, 2020–2022, 2018–2019)
- · Лучший преподаватель — 2024
Гранты и проекты
- — · на соискание учёной степени кандидата наук
Конференции (1)
Показать все
- · 2021: ACAT 2021 (Daejeon). Доклад: Robust Neural Particle Identification Models
Идентификаторы исследователя
- ORCID:
0000-0002-8894-6292 - ResearcherID:
V-4864-2019 - SPIN РИНЦ:
3997-5907 - Google Scholar: https://scholar.google.ru/citations?user=RfWYT08AAAAJ&hl=ru
- Scopus AuthorID:
57208118316
Публикации (313)
Observation of sizeable ω contribution to χc1(3872)→π+π−J/ψ decays
2023 · ARTICLE · en
https://journals.aps.org/prd/abstract/10.1103/PhysRevD.108.L011103
Nuclear Modification Factor of Neutral Pions in the Forward and Backward Regions in p−Pb Collisions
2023 · ARTICLE · en
https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.131.042302
Search for the doubly heavy baryon Ξbc+ decaying to J/ψΞc+
2023 · ARTICLE · en
https://iopscience.iop.org/article/10.1088/1674-1137/ace9c8#artAbst
Search for CP violation in the phase space of D0 → π−π+π0 decays with the energy test
2023 · ARTICLE · en
A search for CP violation in D0 → π−π+π0 decays is reported, using pp collision data collected by the LHCb experiment from 2015 to 2018 corresponding to an integrated luminosity of 6 fb−1. An unbinned model-independent approach provides sensitivity to local CP violation within the two-dimensional phase space of the decay. The method is validated using the Cabibbo-favoured channel D0 → K−π+π0 and background regions of the signal mode. The results are consistent with CP symmetry in this decay.
Precise determination of the 𝐵0s–𝐵⎯⎯⎯⎯0s oscillation frequency
2022 · ARTICLE · en
Mesons comprising a beauty quark and strange quark can oscillate between particle (𝐵0sBs0) and antiparticle (𝐵⎯⎯⎯⎯0sB¯s0) flavour eigenstates, with a frequency given by the mass difference between heavy and light mass eigenstates, Δms. Here we present a measurement of Δms using 𝐵0s→𝐷−sBs0→Ds−π+ decays produced in proton–proton collisions collected with the LHCb detector at the Large Hadron Collider. The oscillation frequency is found to be Δms = 17.7683 ± 0.0051 ± 0.0032 ps−1, where the first uncertainty is statistical and the second is systematic. This measurement improves on the current Δms precision by a factor of two. We combine this result with previous LHCb measurements to determine Δms = 17.7656 ± 0.0057 ps−1, which is the legacy measurement of the original LHCb detector.
Measurement of χc1(3872) production in proton-proton collisions at √s = 8 and 13 TeV
2022 · ARTICLE · en
The production cross-section of the χc1(3872) state relative to the ψ(2S) meson is measured using proton-proton collision data collected with the LHCb experiment at centre-of-mass energies of √s = 8 and 13TeV, corresponding to integrated luminosities of 2.0 and 5.4fb−1, respectively. The two mesons are reconstructed in the J/ψπ+π− final state. The ratios of the prompt and nonprompt χc1(3872) to ψ(2S) production cross-sections are measured as a function of transverse momentum, pT, and rapidity, y, of theχc1(3872) and ψ(2S) states, in the kinematic range 4
Measurement of the lifetimes of promptly produced Ωc0 and Ξc0 baryons
2022 · ARTICLE · en
A measurement of the lifetimes of the Ωc0 and Ξc0 baryons is reported using proton-proton collision data at a centre-of-mass energy of 13TeV, corresponding to an integrated luminosity of 5.4 fb−1 collected by the LHCb experiment. The Ωc0 and Ξc0 baryons are produced directly from proton interactions and reconstructed in the pK−K−π+ final state. The Ωc0 lifetime is measured to be 276.5 ± 13.4 ± 4.4 ± 0.7 fs, and the Ξc0 lifetime is measured to be 148.0 ± 2.3 ± 2.2 ± 0.2 fs, where the first uncertainty is statistical, the second systematic, and the third due to the uncertainty on the D0 lifetime. These results confirm previous LHCb measurements based on semileptonic beauty-hadron decays, which disagree with earlier results of a four times shorter Ωc0 lifetime, and provide the single most precise measurement of the Ωc0 lifetime.
Measurement of the W boson mass
2022 · ARTICLE · en
The W boson mass is measured using proton-proton collision data at s√s = 13 TeV corresponding to an integrated luminosity of 1.7 fb−1 recorded during 2016 by the LHCb experiment. With a simultaneous fit of the muon q/pT distribution of a sample of W → μν decays and the ϕ* distribution of a sample of Z → μμ decays the W boson mass is determined to be (formula) where uncertainties correspond to contributions from statistical, experimental systematic, theoretical and parton distribution function sources. This is an average of results based on three recent global parton distribution function sets. The measurement agrees well with the prediction of the global electroweak fit and with previous measurements.
Advances in Neural Computation, Machine Learning, and Cognitive Research VI : Selected Papers from the XXIV International Conference on Neuroinformatics, October 17-21, 2022, Moscow, Russia
2022 · BOOK · en
Methods of Stokes profile inversion based on spectral polarization analysis represent a powerful tool for obtaining information on magnetic and thermodynamic properties in the solar atmosphere. However, these methods involve solving the radiation transport equation. Over the past decades, several approaches have been developed to provide an analytical solution to the inverse problem, but despite its advantages, in many cases it requires large computing resources. Neural networks have been shown to be a good alternative to these methods, but in general they tend to be overly confident in their predictions. In this paper, the uncertainty estimation of atmospheric parameters prediction is presented. It is shown that deterministic networks containing partially-independent MLP blocks allow one to estimate uncertainty in predictions achieving the high accuracy results.
Observation of the Decay Λ0b→Λ+cτ−¯ντ
2022 · ARTICLE · en
The first observation of the semileptonic b-baryon decay Λ0b→Λ+cτ−¯ντ, with a significance of 6.1σ, is reported using a data sample corresponding to 3 fb−1 of integrated luminosity, collected by the LHCb experiment at center-of-mass energies of 7 and 8 TeV at the LHC. The τ− lepton is reconstructed in the hadronic decay to three charged pions. The ratio K=B(Λ0b→Λ+cτ−¯ντ)/B(Λ0b→Λ+cπ−π+π−) is measured to be 2.46±0.27±0.40, where the first uncertainty is statistical and the second systematic. The branching fraction B(Λ0b→Λ+cτ−¯ντ)=(1.50±0.16±0.25±0.23)% is obtained, where the third uncertainty is from the external branching fraction of the normalization channel Λ0b→Λ+cπ−π+π−. The ratio of semileptonic branching fractions R(Λ+c)≡B(Λ0b→Λ+cτ−¯ντ)/B(Λ0b→Λ+cμ−¯νμ) is derived to be 0.242±0.026±0.040±0.059, where the external branching fraction uncertainty from the channel Λ0b→Λ+cμ−¯νμ contributes to the last term. This result is in agreement with the standard model prediction.
Курсы (8)
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Глубинное обучение · 3 раза
2025/2026, 2024/2025, 2023/2024 · Магистратура / Маго-лего · рус
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Машинное обучение 1 · 3 раза
2025/2026, 2024/2025, 2023/2024 · Бакалавриат · рус
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Генеративные модели в машинном обучении
2024/2025 · Магистратура / Магистратура направление: 01.04.02 Прикладная математика и информатика / Маго-лего · рус
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Основы глубинного обучения · 2 раза
2023/2024, 2022/2023 · Майнор · рус
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Машинное обучение
2022/2023 · Бакалавриат · рус
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Research Seminar "Data Analysis in the Natural Sciences"
2022/2023 · Бакалавриат · Анг
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Научно-исследовательский семинар "Прикладные задачи анализа данных"
2022/2023 · Магистратура · рус
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Прикладные задачи анализа данных
2022/2023 · Майнор · рус