IRIS-HEP Fellow: Volodymyr Svintozelskyi
Fellowship dates: Jun – Sep, 2022
Home Institution: Taras Shevchenko National University of Kyiv
Project: Development of high-performance reconstruction algorithms for detecting long-lived particles
Development of new Artificial Intelligence applications that are impossible to implement with the current hardware solutions due to the requirements of high-speed response and power constraints. Development and implementation of particle reconstruction algorithms using GPUs and/or FPGAs, as well as the real-time processing of massive data from the LHCb experiment. This will be crucial for detecting long-lived particles predicted in new physics models, and also interesting for industrial and real-life applications.More information: My project proposal
Mentors:
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Arantza Oyanguren (IFIC - University of Valencia/CSIC, Spain)
- 27 Jul 2022 - "Volodymyr Svintozelskyi - Development of high-performance reconstruction algorithms for detecting long-lived particles", Volodymyr Svintozelskyi, IRIS-HEP Fellows Introductory Presentations Recording: Volodymyr Svintozelskyi - Development of high-performance reconstruction algorithms for detecting long-lived particles
- 23 Aug 2022 - "SciFi-Velo matching optimization", Volodymyr Svintozelskyi, RTA: Reconstruction WP2 meeting Recording: SciFi-Velo matching optimization
- 19 Oct 2022 - "Volodymyr Svintozelskyi - Development of high-performance reconstruction algorithms for detecting long-lived particles", Volodymyr Svintozelskyi, IRIS-HEP Fellows Presentations 2022 Recording: Volodymyr Svintozelskyi - Development of high-performance reconstruction algorithms for detecting long-lived particles
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