People

Research Fellow

Nikita Kazeev

Title

Research Fellow

Degree

PhD

Research Interests

Design of new materials with AI Multi-modal training of ML algorithms on both experimental and theoretical data

Selected Publications

  • Derkach, D., Kazeev, N., Ratnikov, F., Ustyuzhanin, A., & Volokhova, A. (2020). Cherenkov detectors fast simulation using neural networks. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 952, 161804.
  • Anderlini, L., Archilli, F., Cardini, A., Cogoni, V., Fontana, M., Graziani, G., Kazeev, N., … & Gomez, R. V. (2020). Muon identification for LHCb Run 3. Journal of Instrumentation, 15(12), T12005.
  • Aaij, R., Albrecht, J., Belous, M., Billoir, P., Boettcher, T., Brea Rodríguez, A., Kazeev, N., … & Williams, M. (2020). Allen: A high-level trigger on GPUs for LHCb. Computing and Software for big Science, 4(1), 1-11.
  • Borisyak, M., & Kazeev, N. (2019). Training machine learning algorithms on background-contaminated data, Second Workshop on Machine Learning and the Physical Sciences (NeurIPS 2019), Vancouver, Canada.
  • Borisyak, M., & Kazeev, N. (2019). Machine Learning on data with sPlot background subtraction. Journal of Instrumentation, 14(08), P08020.