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--- | ||
layout: fellow | ||
pagetype: fellow | ||
shortname: Andreylen | ||
permalink: /fellows/Andreylen.html | ||
fellow-name: Andrii Len | ||
title: Andrii Len - IRIS-HEP Fellow | ||
active: False | ||
dates: | ||
start: 2022-06-27 | ||
end: 2022-09-18 | ||
start: 2023-07-03 | ||
end: 2023-09-22 | ||
photo: /assets/images/team/fellows-2022/Andrii-Len.jpg | ||
institution: Taras Shevchenko National University of Kyiv | ||
e-mail: [email protected] | ||
projects: | ||
- project_title: The usage of Deep Learning for QCD background estimation | ||
project_goal: > | ||
The focus of the present project is to find optimal deep learning models to be used for the separation of signal and background events. | ||
mentors: | ||
- Ece Asilar (CERN) | ||
proposal: /assets/pdf/fellows-2022/211-proposal-Andrii-Len.pdf | ||
- project_title: Predict CMS data popularity to improve its availability for physics analysis | ||
project_goal: > | ||
The focus of the project is to aggregate and extract data usage information, find data's features and optimal Machine Learning models to predict the probability that a dataset will be accessed in the next month. | ||
mentors: | ||
- Dmytro Kovalskyi, Rahul Chauhan, Hasan Ozturk | ||
proposal: /assets/pdf/fellows-2023/U009-proposal-Andrii-Len.pdf | ||
presentations: | ||
- title: The usage of Deep Learning for QCD background estimation | ||
date: 2022-10-19 | ||
url: https://indico.cern.ch/event/1199559/contributions/5097272/attachments/2531407/4355497/IRIS-Hep%20Andrii_Len_Final_Presentation.pdf | ||
meeting: IRIS-HEP Fellows Presentations 2022 | ||
meetingurl: https://indico.cern.ch/event/1199559/ | ||
recordingurl: https://youtu.be/gEaqn7C9ipY | ||
focus-area: ia | ||
current_status: | ||
github-username: Andreylen | ||
--- |