Dr. Alexander Kryukov | Astronomy and Space | Best Researcher Award

Head of Laboratory | Lomonosov Moscow State University | Russia

Dr. Alexander Kryukov is a distinguished physicist and computational scientist with an extensive career in high-energy particle physics, distributed computing, and machine learning applications in cosmic and gamma-ray astronomy. He graduated from Lomonosov Moscow State University in 1977, earning a specialization in Physics with a focus on High Energy Physics, and completed his Ph.D. in 1988 on the design and implementation of integrated dialogue systems for analytical computing software. Since 1980, he has progressed through roles from Junior Researcher to Head of the Laboratory at the Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, demonstrating exemplary leadership and research management. Dr. Kryukov’s professional experience includes leading large-scale national and international projects, including the Russian national grid network for the Large Hadron Collider (CERN), CERN-INTAS projects, and multiple RSF-funded initiatives on machine learning for astrophysical data analysis. His research interests encompass computational modeling of elementary particle interactions, computer algebra methods, cloud and grid computing, and applications of artificial intelligence in physics. He has contributed to major international collaborations such as CMS (CERN), Hyper-Kamiokande (Japan), TAIGA (Russia), and JUNO (China), and his publication record includes over 200 documents in reputed journals such as Physics Letters B, Journal of Instrumentation, and Computer Physics Communications. Dr. Kryukov’s work has had significant scientific and societal impact through mentorship, leadership in international collaborations, and the development of advanced computational infrastructures. His professional skills include Fortran, C/C++, Python, Mathematica, Maple, REDUCE, Linux, distributed computing, cloud computing, and machine learning frameworks. Recognized for his excellence, he has been cited extensively, reflecting his influential contributions to physics and computational science. With a sustained record of innovation, leadership, and mentorship, Dr. Kryukov continues to shape the future of high-energy physics and computational research. 8,089 Citations, 200 Documents, 17 h-index.

Profiles: Scopus | ORCID | ResearchGate

Featured Publications

1. 1. Prosin, V., Astapov, I., Bezyazeekov, P., Bonvech, E., Borodin, A., Bulan, A., … Yashin, I. (2023, September 29). Primary cosmic ray energy spectrum and mean mass composition using data from the TAIGA astrophysical complex. SciPost Physics Proceedings, 13(037). https://doi.org/10.21468/SciPostPhysProc.13.037

   2. Ivanova, A. L., Astapov, I., Bezyazeekov, P., Bonvech, E., Borodin, A., Budnev, N., … (2023, September 28). The Tunka-Grande scintillation array: Current results. SciPost Physics Proceedings, 13(011). https://doi.org/10.21468/SciPostPhysProc.13.011

   3. Budnev, N. M., Chernov, D. V., Gress, O. A., Gress, T. I., Korosteleva, E. E., Kuzmichev, L. A., … Prosin, V. V. (2021). The primary cosmic-ray energy spectrum measured with the Tunka-133 array. Astroparticle Physics, 117, 102406. https://doi.org/10.1016/j.astropartphys.2019.102406

   4. Ivanova, A. L., Astapov, I., Bezyazeekov, P., Bonvech, E., Borodin, A., Budnev, N., … (2022). The Tunka-Grande scintillation array: Current results. arXiv. https://arxiv.org/abs/2207.09680 arXiv+1

   5. Prosin, V., Astapov, I., Bezyazeekov, P., & collaborators. (2021). Energy spectrum and mass composition of cosmic rays from the data of the astrophysical complex TAIGA. Physics of Atomic Nuclei.