Prof. Dr. Ihor Lubashevsky | Complex system | Best Researcher Award
Prof. Dr. Ihor Lubashevsky , HSE Tikhonov Moscow Institute of Electronics and Mathematics , Russia.
Prof. Dr. Ihor Lubashevsky ๐, is a distinguished physicist and applied mathematician. He currently serves as Professor at the National Research University Higher School of Economics (HSE), Moscow ๐๏ธ. With over four decades of academic and research experience ๐, His career spans leading institutions in Russia, Japan ๐ฏ๐ต, and Germany ๐ฉ๐ช. His expertise bridges the fields of statistical physics, human behavior modeling, traffic dynamics ๐, and nonlinear systems. An influential thinker in sociophysics and decision-making science ๐ง , Prof. Lubashevsky has contributed significantly to both theoretical frameworks and applied research across disciplines ๐ฌ.
Professional Profile
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Educationย
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๐ 1978: Masterโs Degree in Solid State Physics โ Moscow Institute of Physics and Technology
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๐ 1980: Ph.D. (Candidate of Science) in Physics & Mathematics โ Moscow Institute of Physics and Technology
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๐ 1990: Senior Researcher Degree in Solid State Physics โ Center of Mechanical Engineering
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๐ 1993: Doctor of Science (Habilitation) โ M.V. Lomonosov Moscow State University
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๐จโ๐ซ 2004: Professor Degree โ Moscow Technical University of Radio-Engineering, Electronics, and Automation
Experienceย
Present Position:
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๐จโ๐ซ 2021โPresent: Professor, Dept. of Applied Mathematics, HSE, Moscow ๐ท๐บ
Past Positions:
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๐ฏ๐ต 2010โ2021: Professor, University of Aizu, Japan โ Complex Systems Modeling Lab
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๐ท๐บ 1997โ2010: Leading Research Fellow, A.M. Prokhorov General Physics Institute, RAS
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๐ง 1999โ2010: Chair, Dept. for Modeling of Radio-Physical Processes, MIREA
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๐ฉ๐ช 2001โ2003: Visiting Professor, German Aerospace Center (DLR), Berlin
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๐๏ธ 1995โ2001: Research Fellow, Moscow State University โ Faculty of Physics
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๐๏ธ 1994โ1997: Associate Professor, Moscow Technical University of Machine Engineering
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๐งช 1988โ1991: Senior Researcher, Central Institute of Technology & Engineering
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๐งฒ 1981โ1988: Researcher, various research institutes in physics and micro-devices
Summary suitability
Prof. Dr. Ihor Lubashevsky is a distinguished nominee for the Best Researcher Award for his outstanding and interdisciplinary contributions to the fields of complex systems science, statistical physics, sociophysics, and applied mathematics. With a prolific academic and research career spanning over four decades across Russia, Japan, and Germany, he has demonstrated extraordinary leadership, innovation, and depth in tackling real-world phenomena through mathematical modeling and nonlinear system analysis.
Professional Development
Prof. Lubashevsky’s professional journey spans interdisciplinary research ๐งช, academic mentorship ๐, and global collaboration ๐. His transition from solid-state physics to complex systems and sociophysics reflects a dynamic career focused on bridging physical sciences with human behavior modeling ๐ง ๐. He has published extensively ๐ and collaborated with institutions across Japan ๐ฏ๐ต, Russia ๐ท๐บ, and Germany ๐ฉ๐ช. Dedicated to advancing both theoretical foundations and applied methodologies, he engages in mentoring young researchers ๐จโ๐ซ and contributing to international research networks. His commitment to innovation and scientific inquiry has solidified his reputation as a pioneering thinker in complex system modeling ๐ฌ๐งฉ.
Research Focusย
Prof. Lubashevskyโs research is deeply rooted in complex systems science, combining physics with behavioral and social sciences ๐๐ง . He specializes in mathematical modeling of decision-making, cognition, and cooperative dynamics in human and social systems ๐งฎ๐ฅ. His work on traffic flow physics, self-organization, and nonlinear dynamics has practical applications in engineering and psychology ๐๐. Additionally, he explores anomalous transport phenomena, cryosurgery modeling, and statistical mechanics in biological and electronic systems ๐ง๐งฌ๐. Bridging disciplines such as econophysics, psychophysics, and sociophysics, his research contributes to both theoretical insight and real-world problem solving ๐โ๏ธ.
Publication Top Notes
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Probabilistic Description of Traffic Flow
๐๏ธ R. Mahnke, J. Kaupuลพs, I. Lubashevsky
๐ Physics Reports, Volume 408, Issues 1โ2, Pages 1โ130, 2005
๐ Citations: 242 -
Physics of Stochastic Processes: How Randomness Acts in Time
๐๏ธ R. Mahnke, J. Kaupuลพs, I. Lubashevsky
๐ John Wiley & Sons, 2009
๐ Citations: 133
๐ ISBN: 9783527407296 -
Long-lived States in Synchronized Traffic Flow: Empirical Prompt and Dynamical Trap Model
๐๏ธ I. Lubashevsky, R. Mahnke, P. Wagner, S. Kalenkov
๐ Physical Review E, Volume 66, Issue 1, Article 016117, 2002
๐ Citations: 133 -
Probabilistic Description of Traffic Breakdowns
๐๏ธ R. Kรผhne, R. Mahnke, I. Lubashevsky, J. Kaupuลพs
๐ Physical Review E, Volume 65, Issue 6, Article 066125, 2002
๐ Citations: 86 -
Bounded Rational Driver Models
๐๏ธ I. Lubashevsky, P. Wagner, R. Mahnke
๐ The European Physical Journal B โ Condensed Matter and Complex Systems, Volume 32, Pages 243โ247, 2003
๐ Citations: 77 -
Towards a Variational Principle for Motivated Vehicle Motion
๐๏ธ I. Lubashevsky, S. Kalenkov, R. Mahnke
๐ Physical Review E, Volume 65, Issue 3, Article 036140, 2002
๐ Citations: 77 -
Rational-Driver Approximation in Car-Following Theory
๐๏ธ I. Lubashevsky, P. Wagner, R. Mahnke
๐ Physical Review E, Volume 68, Issue 5, Article 056109, 2003
๐ Citations: 57 -
On the Principles of the Vascular Network Branching
๐๏ธ V. V. Gafiychuk, I. A. Lubashevsky
๐ Journal of Theoretical Biology, Volume 212, Issue 1, Pages 1โ9, 2001
๐ Citations: 57
Conclusion
Prof. Dr. Ihor Lubashevsky exemplifies the spirit of the Best Researcher Award through his relentless pursuit of scientific excellence, global academic engagement, and transformative contributions to complex systems research. His ability to unify concepts across disciplines and translate theory into application positions him as a leading voice in modern physics and applied mathematics. His work continues to inspire future generations and solve pressing challenges through rigorous, innovative research.