Chief researcher at Scientific Research Institute for System Analysis of the National Research Center “Kurchatov Institute”, Russia
Dr. Boris Kryzhanovsky is a distinguished researcher with over five decades of experience in the fields of quantum electrodynamics, laser physics, and mathematical methods in neural networks, statistical physics, and nanotechnology. He graduated from Yerevan State University in 1971 and has since contributed significantly to scientific advancements. His work includes pioneering research in nonstationary four-wave mixing, the development of vector neural networks with large memory, and innovative methods for calculating partition functions of spin systems. Dr. Kryzhanovsky has published over 200 articles in renowned journals and holds an h-index of 19, reflecting the impact of his research. He is also the Editor-in-Chief of Optical Memory and Neural Networks and a Corresponding Member of the Russian Academy of Sciences. His leadership and extensive collaboration with international scientific communities further underscore his prominent role in advancing research in his fields of expertise.
Professional Profile
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Scopus Profile
ORCID Profile
Education
Dr. Boris Kryzhanovsky completed his education at Yerevan State University, Armenia, where he graduated from the Physical Department in 1971. His academic foundation laid the groundwork for a distinguished career in scientific research. Throughout his career, Dr. Kryzhanovsky has maintained a strong commitment to advancing his knowledge in complex scientific fields, particularly in quantum electrodynamics, laser physics, and mathematical methods applied to neural networks and statistical physics. His early training at one of Armenia’s most prestigious universities provided him with the critical thinking and theoretical skills that have shaped his extensive body of work in these areas.
Professional Experience
Dr. Kryzhanovsky’s professional career spans over five decades, starting as a scientific researcher at the Institute for Physical Research in Armenia (1971-1991). He later worked at the Institute for Optical-Neuron Technologies RAS (1996-2006) and currently holds a chief researcher position at the Scientific Research Institute for System Analysis RAS. His career has seen significant contributions to the fields of neural networks and statistical physics, with leadership roles including Editor-in-Chief of Optical Memory and Neural Networks. Dr. Kryzhanovsky’s work is widely recognized for its deep theoretical insights and practical applications in various scientific domains.
Research Interests
Dr. Kryzhanovsky’s research interests are diverse, encompassing neural networks, statistical physics, and nanotechnology. He has made groundbreaking contributions in developing mathematical methods for the analysis of neural networks, especially focusing on vector neural networks with large memory for recognizing noisy patterns. Additionally, his work on the theory of nonstationary processes in quantum electrodynamics and the development of methods for calculating partition functions of spin systems highlights his interdisciplinary approach. His research also explores nanotechnology, particularly in relation to statistical mechanics, contributing to advances in both theoretical and applied physics.
Awards and Honors
Dr. Kryzhanovsky has received numerous honors throughout his career, underpinned by his significant contributions to scientific research. He is a Corresponding Member of the Russian Academy of Sciences and holds leadership positions in various academic and scientific societies. His work is frequently cited, reflected in his impressive h-index of 19 on Google Scholar, and he has authored over 200 journal articles in reputable SCI and Scopus-indexed publications. His professional standing and achievements are also evident from his role as Editor-in-Chief of Optical Memory and Neural Networks, further cementing his reputation in the scientific community.
Conclusion
Dr. Boris Kryzhanovsky is a highly respected researcher whose contributions to quantum electrodynamics, laser physics, neural networks, and statistical physics have had a profound impact on both theoretical and applied sciences. His academic background, coupled with extensive professional experience, has led to groundbreaking research that continues to shape the direction of several scientific fields. With a remarkable publication record and leadership roles within the scientific community, Dr. Kryzhanovsky remains a key figure in advancing knowledge and innovation. His achievements and dedication to research make him a standout in his field, deserving recognition for his substantial contributions to science.
Publications Top Noted
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Title: Magnetic Field-Controlled Phase Transitions in Antiferromagnetic Structures
Authors: V.I. Egorov, Boris V. Kryzhanovsky
Year: 2024
Source: Optical Memory and Neural Networks (Information Optics)
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Title: On Recognition Capacity of a Phase Neural Network
Authors: Boris V. Kryzhanovsky
Year: 2024
Source: Optical Memory and Neural Networks (Information Optics)
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Title: Accuracy and Performance Analysis of the 1/t Wang-Landau Algorithm in the Joint Density of States Estimation
Authors: V.I. Egorov, Boris V. Kryzhanovsky
Year: 2024
Source: Optical Memory and Neural Networks (Information Optics)
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Title: Stability of an Optical Neural Network Trained by the Maximum-Likelihood Algorithm
Authors: Boris V. Kryzhanovsky, V.I. Egorov
Year: 2023
Source: Optical Memory and Neural Networks (Information Optics)
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Title: In Memory of M.L. Ter-Mikaelyan
Authors: Gayane G. Grigoryan, Boris V. Kryzhanovsky, Aram Papoyan
Year: 2023
Source: Optical Memory and Neural Networks (Information Optics)
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Title: Characteristics of an Ising-like Model with Ferromagnetic and Antiferromagnetic Interactions
Authors: Boris V. Kryzhanovsky, V.I. Egorov, Leonid B. Litinskii
Year: 2023
Citations: 1
Source: Entropy
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Title: Density Function of Weighted Sum of Chi-Square Variables with Trigonometric Weights
Authors: V.I. Egorov, Boris V. Kryzhanovsky
Year: 2023
Citations: 1
Source: Optical Memory and Neural Networks (Information Optics)
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Title: Modeling of Thermodynamic Properties of Optical Neural Network Based on 3D Ising Model
Authors: Boris V. Kryzhanovsky, Leonid B. Litinskii, V.I. Egorov, O.G. Maksimova
Year: 2023