Prof. Dr. Ihor Lubashevsky | Complex system | Best Researcher Award

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 ๐ŸŽ“, is a distinguished physicist and applied mathematician. He currently serves as Professor at the National Research University Higher School of Economics (HSE), Moscow ๐Ÿ›๏ธ. With over four decades of academic and research experience ๐Ÿ“š, His career spans leading institutions in Russia, Japan ๐Ÿ‡ฏ๐Ÿ‡ต, and Germany ๐Ÿ‡ฉ๐Ÿ‡ช. His expertise bridges the fields of statistical physics, human behavior modeling, traffic dynamics ๐Ÿš—, and nonlinear systems. An influential thinker in sociophysics and decision-making science ๐Ÿง , Prof. Lubashevsky has contributed significantly to both theoretical frameworks and applied research across disciplines ๐Ÿ”ฌ.

Professional Profile

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Educationย 

  • ๐ŸŽ“ 1978: Masterโ€™s Degree in Solid State Physics โ€“ Moscow Institute of Physics and Technology

  • ๐ŸŽ“ 1980: Ph.D. (Candidate of Science) in Physics & Mathematics โ€“ Moscow Institute of Physics and Technology

  • ๐Ÿ“œ 1990: Senior Researcher Degree in Solid State Physics โ€“ Center of Mechanical Engineering

  • ๐ŸŽ“ 1993: Doctor of Science (Habilitation) โ€“ M.V. Lomonosov Moscow State University

  • ๐Ÿ‘จโ€๐Ÿซ 2004: Professor Degree โ€“ Moscow Technical University of Radio-Engineering, Electronics, and Automation

Experienceย 

Present Position:

  • ๐Ÿ‘จโ€๐Ÿซ 2021โ€“Present: Professor, Dept. of Applied Mathematics, HSE, Moscow ๐Ÿ‡ท๐Ÿ‡บ

Past Positions:

  • ๐Ÿ‡ฏ๐Ÿ‡ต 2010โ€“2021: Professor, University of Aizu, Japan โ€“ Complex Systems Modeling Lab

  • ๐Ÿ‡ท๐Ÿ‡บ 1997โ€“2010: Leading Research Fellow, A.M. Prokhorov General Physics Institute, RAS

  • ๐Ÿง  1999โ€“2010: Chair, Dept. for Modeling of Radio-Physical Processes, MIREA

  • ๐Ÿ‡ฉ๐Ÿ‡ช 2001โ€“2003: Visiting Professor, German Aerospace Center (DLR), Berlin

  • ๐Ÿ›๏ธ 1995โ€“2001: Research Fellow, Moscow State University โ€“ Faculty of Physics

  • ๐Ÿ—๏ธ 1994โ€“1997: Associate Professor, Moscow Technical University of Machine Engineering

  • ๐Ÿงช 1988โ€“1991: Senior Researcher, Central Institute of Technology & Engineering

  • ๐Ÿงฒ 1981โ€“1988: 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 ๐Ÿงช, academic mentorship ๐ŸŽ“, and global collaboration ๐ŸŒ. His transition from solid-state physics to complex systems and sociophysics reflects a dynamic career focused on bridging physical sciences with human behavior modeling ๐Ÿง ๐Ÿ“Š. He has published extensively ๐Ÿ“š and collaborated with institutions across Japan ๐Ÿ‡ฏ๐Ÿ‡ต, Russia ๐Ÿ‡ท๐Ÿ‡บ, and Germany ๐Ÿ‡ฉ๐Ÿ‡ช. Dedicated to advancing both theoretical foundations and applied methodologies, he engages in mentoring young researchers ๐Ÿ‘จโ€๐Ÿซ 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 ๐Ÿ”ฌ๐Ÿงฉ.

Research Focusย 

Prof. Lubashevskyโ€™s research is deeply rooted in complex systems science, combining physics with behavioral and social sciences ๐Ÿ”„๐Ÿง . He specializes in mathematical modeling of decision-making, cognition, and cooperative dynamics in human and social systems ๐Ÿงฎ๐Ÿ‘ฅ. His work on traffic flow physics, self-organization, and nonlinear dynamics has practical applications in engineering and psychology ๐Ÿš˜๐Ÿ”„. Additionally, he explores anomalous transport phenomena, cryosurgery modeling, and statistical mechanics in biological and electronic systems ๐ŸงŠ๐Ÿงฌ๐Ÿ“‰. Bridging disciplines such as econophysics, psychophysics, and sociophysics, his research contributes to both theoretical insight and real-world problem solving ๐ŸŒโš™๏ธ.

Publication Top Notes

  1. Probabilistic Description of Traffic Flow
    ๐Ÿ–Š๏ธ R. Mahnke, J. Kaupuลพs, I. Lubashevsky
    ๐Ÿ“˜ Physics Reports, Volume 408, Issues 1โ€“2, Pages 1โ€“130, 2005
    ๐Ÿ“ˆ Citations: 242

  2. Physics of Stochastic Processes: How Randomness Acts in Time
    ๐Ÿ–Š๏ธ R. Mahnke, J. Kaupuลพs, I. Lubashevsky
    ๐Ÿ“• John Wiley & Sons, 2009
    ๐Ÿ“ˆ Citations: 133
    ๐Ÿ“– ISBN: 9783527407296

  3. Long-lived States in Synchronized Traffic Flow: Empirical Prompt and Dynamical Trap Model
    ๐Ÿ–Š๏ธ I. Lubashevsky, R. Mahnke, P. Wagner, S. Kalenkov
    ๐Ÿ“˜ Physical Review E, Volume 66, Issue 1, Article 016117, 2002
    ๐Ÿ“ˆ Citations: 133

  4. Probabilistic Description of Traffic Breakdowns
    ๐Ÿ–Š๏ธ R. Kรผhne, R. Mahnke, I. Lubashevsky, J. Kaupuลพs
    ๐Ÿ“˜ Physical Review E, Volume 65, Issue 6, Article 066125, 2002
    ๐Ÿ“ˆ Citations: 86

  5. Bounded Rational Driver Models
    ๐Ÿ–Š๏ธ I. Lubashevsky, P. Wagner, R. Mahnke
    ๐Ÿ“˜ The European Physical Journal B โ€“ Condensed Matter and Complex Systems, Volume 32, Pages 243โ€“247, 2003
    ๐Ÿ“ˆ Citations: 77

  6. Towards a Variational Principle for Motivated Vehicle Motion
    ๐Ÿ–Š๏ธ I. Lubashevsky, S. Kalenkov, R. Mahnke
    ๐Ÿ“˜ Physical Review E, Volume 65, Issue 3, Article 036140, 2002
    ๐Ÿ“ˆ Citations: 77

  7. Rational-Driver Approximation in Car-Following Theory
    ๐Ÿ–Š๏ธ I. Lubashevsky, P. Wagner, R. Mahnke
    ๐Ÿ“˜ Physical Review E, Volume 68, Issue 5, Article 056109, 2003
    ๐Ÿ“ˆ Citations: 57

  8. On the Principles of the Vascular Network Branching
    ๐Ÿ–Š๏ธ V. V. Gafiychuk, I. A. Lubashevsky
    ๐Ÿ“˜ Journal of Theoretical Biology, Volume 212, Issue 1, Pages 1โ€“9, 2001
    ๐Ÿ“ˆ 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.

Dr. Hadi Amirpour | Computer Science | Best Researcher Award

Dr. Hadi Amirpour | Computer Science | Best Researcher Award

Dr. Hadi Amirpour , University of Klagenfurt , Austria.

Dr. Hadi Amirpour ๐ŸŽ“ is a dynamic researcher in Computer Science, currently based in Austria ๐Ÿ‡ฆ๐Ÿ‡น. He earned his Ph.D. from the University of Klagenfurt in 2022 ๐Ÿง . With a solid foundation in both Biomedical ๐Ÿงฌ and Electrical Engineering โšก, Hadi blends interdisciplinary expertise to drive innovation in technology and healthcare. His academic journey spans prestigious institutions in Iran ๐Ÿ‡ฎ๐Ÿ‡ท and Europe, showcasing a global perspective ๐ŸŒ. Passionate about AI, systems design, and signal processing ๐Ÿค–๐Ÿ“ก, Hadi is also active in international collaborations and knowledge sharing via Skype and other platforms ๐Ÿ’ฌ๐ŸŒ.

Professional Profile

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Education & Experience

  • ๐ŸŽ“ Ph.D. in Computer Science โ€“ University of Klagenfurt, Austria (2022)

  • ๐ŸŽ“ M.Sc. in Electrical Engineering โ€“ K.N. Toosi University of Technology, Iran (2014)

  • ๐ŸŽ“ B.Sc. in Biomedical Engineering โ€“ Azad University, Iran (2016)

  • ๐ŸŽ“ B.Sc. in Electrical Engineering โ€“ Amirkabir University of Technology, Iran (2009)

  • ๐Ÿง‘โ€๐Ÿ’ป Researcher and Developer โ€“ Involved in interdisciplinary research across Europe and Asia

  • ๐ŸŒ International Academic Collaborator โ€“ Actively participating in global research networks

Summary Suitability

Dr. Hadi Amirpour is an exceptional candidate for the Best Researcher Award, recognized for his groundbreaking work at the intersection of computer science, multimedia systems, and biomedical signal processing. With a proven track record of high-impact research, pioneering patents, and leadership in global academic forums, Dr. Amirpour stands out as a thought leader who consistently advances the frontiers of multimedia communication and immersive media technologies.

Professional Development

Dr. Hadi Amirpour continually pursues professional development through cutting-edge research ๐Ÿ”, academic collaborations ๐Ÿค, and participation in scientific communities ๐Ÿง‘โ€๐Ÿ”ฌ. He regularly attends international conferences ๐ŸŒ, contributes to peer-reviewed journals ๐Ÿ“š, and engages in mentorship programs to support young researchers ๐ŸŽ“. His multi-disciplinary background in electrical, biomedical, and computer science empowers him to navigate complex research challenges ๐Ÿง โš™๏ธ. Hadi maintains active communication through professional platforms like Skype ๐Ÿ’ป and stays updated on emerging technologies, including AI and data-driven solutions ๐Ÿค–๐Ÿ“ˆ. His commitment to lifelong learning and global innovation sets him apart as a proactive academic leader ๐Ÿš€.

Research Focusย 

Dr. Hadi Amirpourโ€™s research focus lies at the intersection of Computer Science, Biomedical Engineering, and Electrical Systems ๐Ÿง โšก๐Ÿงฌ. His primary interests include artificial intelligence ๐Ÿค–, signal processing ๐ŸŽ›๏ธ, embedded systems โš™๏ธ, and data analysis for healthcare applications ๐Ÿฅ๐Ÿ“Š. By integrating engineering techniques with computational intelligence, he contributes to the advancement of smart medical technologies ๐Ÿ’‰๐Ÿ“ฑ and real-time system optimization ๐ŸŒ๐Ÿ•’. Hadi’s cross-disciplinary expertise allows him to approach research problems with a holistic view ๐Ÿ”ฌ, fostering innovation in both academic and industrial settings ๐Ÿข๐Ÿ’ก. He aims to make impactful contributions to technology that improves human health and well-being ๐ŸŒโค๏ธ.

Awards & Honors

  • ๐Ÿงช Organizer & Contributor โ€“ ACM Multimedia Workshops
    โ€ข Multimedia Computing for Health and Medicine (MCHM), 2025 ๐Ÿฉบ๐Ÿ“น
    โ€ข Interactive eXtended Reality (IXR), 2022 & 2023 ๐Ÿ•ถ๏ธ๐ŸŒ

  • ๐ŸŽ“ Organizer โ€“ MobiSys SMS Workshop
    โ€ข Students in MobiSys (SMS), 2021 ๐Ÿ‘จโ€๐Ÿ’ป๐Ÿ“ฑ

  • ๐Ÿ“˜ Tutorial Presenter at Prestigious Conferences
    โ€ข ACM Multimedia 2025 โ€“ Perceptual Visual Quality Assessment ๐Ÿง ๐Ÿ“บ
    โ€ข IEEE ICME 2025 โ€“ Video Coding in HTTP Adaptive Streaming ๐ŸŽž๏ธ๐ŸŒ
    โ€ข IEEE ICME 2023 โ€“ HAS, Video Codecs & Encoding Optimization โš™๏ธ๐Ÿ”„
    โ€ข IEEE VCIP 2023 โ€“ Video Encoding for Adaptive Streaming ๐Ÿ“ก๐ŸŽฌ

Publication Top Notes

  • ๐Ÿ“Š VCA: Video Complexity Analyzer
    Authors: V.V. Menon, C. Feldmann, H. Amirpour, M. Ghanbari, C. Timmerer
    Venue: Proceedings of the 13th ACM Multimedia Systems Conference, pp. 259โ€“264
    Citations: 67
    Year: 2022
    ๐Ÿ” A comprehensive tool for analyzing video complexity to optimize streaming workflows.

  • ๐ŸŒ A Tutorial on Immersive Video Delivery: From Omnidirectional Video to Holography
    Authors: J. Van Der Hooft, H. Amirpour, M.T. Vega, Y. Sanchez, R. Schatz, T. Schierl, et al.
    Venue: IEEE Communications Surveys & Tutorials, Vol. 25(2), pp. 1336โ€“1375
    Citations: 58
    Year: 2023
    ๐Ÿง  An authoritative tutorial exploring advanced immersive media delivery technologies.

  • ๐Ÿ“ฝ๏ธ PSTR: Per-Title Encoding using Spatio-Temporal Resolutions
    Authors: H. Amirpour, C. Timmerer, M. Ghanbari
    Venue: IEEE International Conference on Multimedia and Expo (ICME), pp. 1โ€“6
    Citations: 49
    Year: 2021
    ๐Ÿงฉ Proposes a novel per-title encoding method that leverages spatio-temporal optimization.

  • ๐Ÿ“‰ INTENSE: In-depth Studies on Stall Events and Quality Switches and Their Impact on the Quality of Experience in HTTP Adaptive Streaming
    Authors: B. Taraghi, M. Nguyen, H. Amirpour, C. Timmerer
    Venue: IEEE Access, Vol. 9, pp. 118087โ€“118098
    Citations: 44
    Year: 2021
    โš™๏ธ Explores the user experience impact of buffering and bitrate changes in streaming.

  • ๐ŸŽฌ OPTE: Online Per-Title Encoding for Live Video Streaming
    Authors: V.V. Menon, H. Amirpour, M. Ghanbari, C. Timmerer
    Venue: ICASSP 2022 โ€“ IEEE International Conference on Acoustics, Speech and Signal Processing
    Citations: 39
    Year: 2022
    ๐Ÿ•’ Introduces a real-time approach to optimize live streaming quality through encoding.

  • ๐Ÿค– DeepStream: Video Streaming Enhancements using Compressed Deep Neural Networks
    Authors: H. Amirpour, M. Ghanbari, C. Timmerer
    Venue: IEEE Transactions on Circuits and Systems for Video Technology
    Citations: 38
    Year: 2022
    ๐Ÿง  Applies deep learning for enhanced video streaming performance and compression.

  • ๐Ÿ“ฆ Multi-Codec Ultra High Definition 8K MPEG-DASH Dataset
    Authors: B. Taraghi, H. Amirpour, C. Timmerer
    Venue: Proceedings of the 13th ACM Multimedia Systems Conference, pp. 216โ€“220
    Citations: 32
    Year: 2022
    ๐ŸŽž๏ธ Presents a rich dataset to support benchmarking and research in 8K video streaming.

Conclusion

Dr. Hadi Amirpour’s sustained research excellence, technical innovations, and global academic contributions make him highly deserving of the Best Researcher Award. His work not only demonstrates scholarly depth and innovation but also shows clear translational impact on the future of multimedia technologies and intelligent streaming systems. His unique combination of interdisciplinary expertise, prolific output, and international leadership defines the essence of a world-class researcher.