Yuri Kurilenkov | Computational Methods | Best Researcher Award

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Dr. Yuri Kurilenkov | Computational Methods | Best Researcher Award

Dr. Yuri Kurilenkov | P.N. Lebedev Physical Institute RAS | Russia

šŸ‘Øā€šŸŽ“ Profile

šŸ“š Early Academic Pursuits

Dr. Yuri K. Kurilenkov began his academic journey with a M.S. in Physics of Strongly Coupled Ionic SystemsĀ from the Moscow Power Engineering Institute in 1971. His early research focused on the theoretical and experimental aspects of plasma physics, culminating in aĀ Ph.D. in “Fluctuating Microfields and Opacities in Strongly Coupled Plasmas”Ā from the Institute for High Temperatures, Russian Academy of Sciences, in 1978. This foundational education established his expertise inĀ plasma dynamics and microfield fluctuations, pivotal for his later contributions.

šŸ‘Øā€šŸ”¬ Professional Endeavors

Dr. Kurilenkov has been associated with the Institute for High Temperatures, Russian Academy of Sciences, since 1971, starting as aĀ Research ScientistĀ in the Department of Plasma Physics. In 1981, he transitioned to the Department of Optics and Applied Physics, where he has served as aĀ Senior Researcher. Over decades, his work has spannedĀ optical and transport properties of strongly coupled plasmas, laser-material interactions, and the exploration of hot dense matter physics.

šŸ”¬ Contributions and Research Focus

Dr. Kurilenkov’s research interests encompass a wide array of cutting-edge topics, including:

  • Anomalous Stopping: Understanding energy dissipation in plasma systems.
  • High Energy Density Matter: Studying x-ray generation and energy conversion under extreme conditions.
  • Modern Neutron Sources and Nuclear Synthesis: Exploring innovative methods like DD and aneutronic pB11 synthesis.
    His investigations intoĀ collective phenomena in collision-dominated plasmasĀ andĀ density effects in radiation and stoppingĀ have significantly advanced the understanding of non-ideal plasmas.

šŸŒŸ Impact and Influence

Dr. Kurilenkov has received numerous honors, including a Fellowship from MENESR, France, in 1996, and multiple visiting professorships at prestigious institutions like the University of Maryland and the University of California. HisĀ collaborative work under NATO Science ProgramsĀ has pioneered advancements in plasma absorption, stopping, and x-ray emission efficiency. These efforts have enriched global understanding ofĀ high energy density matterĀ and its practical applications.

šŸ“Š Academic Citations

Dr. Kurilenkov has contributed to over 60 refereed journal papersĀ andĀ 140 conference presentations, highlighting his prolific output. His single-authored book and multiple collaborative projects underscore hisĀ academic influenceĀ in the field of plasma physics.

šŸ› ļø Technical Skills

Dr. Kurilenkov is proficient in advanced experimental and theoretical techniques in:

  • Plasma Spectroscopy
  • High-Energy Particle Generation
  • Optical DiagnosticsĀ for dense plasmas
    His technical expertise enables precise insights intoĀ vacuum discharge phenomenaĀ andĀ x-ray efficiency under extreme conditions.

šŸ« Teaching and Knowledge Dissemination

As aĀ visiting professor at top universities worldwide, Kurilenkov has inspired the next generation of researchers. He has delivered lectures onĀ plasma dynamics,Ā energy conversion systems, andĀ innovative neutron source technologies, fostering cross-disciplinary knowledge exchange.

šŸ… Legacy and Future Contributions

Dr. Yuri K. Kurilenkovā€™s legacy lies in his groundbreaking insights into strongly coupled plasmasĀ and his role in advancing theĀ fundamentals of nuclear technologies. His work onĀ nano-second vacuum dischargesĀ andĀ virtual cathodesĀ continues to push the boundaries ofĀ nuclear microreactor development. Kurilenkovā€™s research ensures a lasting impact on the fields ofĀ plasma physics and high-energy density systems.

Top Noted Publications

On the Contribution of a Cluster Target to Generation of the DD Neutrons in a Nanosecond Vacuum Discharge
  • Authors: S.Y. Gusā€™kov, Y.K. Kurilenkov, A.V. Oginov, I.S. Samoilov
  • Journal: Plasma Physics Reports, 2024
Fully Electromagnetic Code KARAT Applied to the Problem of Aneutronic Protonā€“Boron Fusion
  • Authors: S.N. Andreev, Y.K. Kurilenkov, A.V. Oginov
  • Journal: Mathematics, 2023
Oscillating Plasmas for Proton-Boron Fusion in Miniature Vacuum Discharge
  • Authors: Y.K. Kurilenkov, V.P. Tarakanov, A.V. Oginov, S.Y. Gus’kov, I.S. Samoylov
  • Journal: Laser and Particle Beams, 2023
Electromagnetic Emissions in the MHz and GHz Frequency Ranges Driven by the Streamer Formation Processes
  • Authors: E.V. Parkevich, A.I. Khirianova, T.F. Khirianov, S.A. Ambrozevich, A.V. Oginov
  • Journal: Physical Review E, 2022
On the Plasma Quasineutrality under Oscillatory Confinement Based on a Nanosecond Vacuum Discharge
  • Authors: Y.K. Kurilenkov, V.P. Tarakanov, A.V. Oginov, S.Y. Gusā€™kov, I.S. Samoylov
  • Ā Journal: Plasma Physics Reports, 2022

 

 

Fangxia Zhao | Computational Methods | Best Researcher Award

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Mrs. Fangxia Zhao | Computational Methods | Best Researcher Award

Associate Professor at Capital University of Economics and Business, China

šŸ‘Øā€šŸŽ“Ā Profiles

Scopus

Orcid

Early Academic Pursuits šŸŽ“

Dr. Fangxia Zhao embarked on her academic journey with a strong foundation in Transportation Engineering. Her advanced studies and research helped her gain a deep understanding of complex transportation networks and big data analytics. Over the years, she honed her expertise in the modeling of traffic systems, urban mobility, and data-driven optimization. Her academic pursuits, supported by several national-level projects, allowed her to make significant strides in theoretical research, laying the groundwork for her future professional achievements.

Professional Endeavors šŸ’¼

Dr. Zhao is currently an Associate Professor and Masterā€™s Supervisor at the School of Management Engineering, where she also serves as the Head of the Department of Big Data. With years of academic leadership and research guidance, she has led cutting-edge projects funded by prestigious research bodies, including the Central University Research Fund and University Research Start-up Fund. Throughout her career, she has actively contributed to national and provincial research projects, consistently pushing the boundaries of transportation modeling and big data analytics.

Teaching Experience šŸ‘©ā€šŸ«

Dr. Zhao is a dedicated educator, teaching courses such as:

  • Computer Network Technology and Applications
  • Data Structures
  • Principles and Applications of Databases
  • Python Programming Design
  • Green, Intelligent, and Shared Transportation

Her teaching focuses on equipping students with the skills needed to succeed in data science, network optimization, and smart transportation systems. She emphasizes hands-on learning and problem-solving, ensuring that her students are well-prepared for the challenges of modern transportation engineering.

Contributions and Research Focus šŸ”

Dr. Zhaoā€™s primary research interests include:

  • Complexity Modeling of Transportation Networks šŸš—
  • Big Data Analysis in Transplantation šŸ’‰
  • Optimization of Urban Mobility šŸ™ļø
  • Intelligent and Green Transportation šŸŒ±

Her work has played a pivotal role in advancing transportation research, especially in the areas of electric vehicle behavior and network optimization. Through mathematical modeling, she has contributed to understanding how factors such as travel mode choice, vehicle scheduling, and urban road evolution influence the design of more efficient, sustainable, and intelligent transportation systems.

Academic Cites šŸ“š

Dr. Zhaoā€™s research has gained widespread recognition, particularly in the realms of transportation modeling and big data analytics. Her papers have been cited numerous times, including high-impact articles on the evolutionary dynamics of transportation networks, the role of electric vehicles, and the integration of bus services. Her work on the coevolution of population distribution and road networks has been particularly influential, establishing her as a key figure in the field of spatial economics and network theory.

Impact and Influence šŸŒŸ

Dr. Zhaoā€™s influence in the academic community is reflected in her extensive publication record, including SCI-indexed papers in leading journals such as Physica A, Networks & Spatial Economics, and Plos One. With over 20 academic papers, she has made major contributions to the study of transportation networks, population distribution, and disaster prevention systems. Her research is widely cited, and her contributions are used by scholars and industry professionals to design smarter, more resilient transportation systems.

Technical Skills šŸ’»

Dr. Zhao is a skilled data scientist, proficient in a variety of technical tools essential for big data analysis and computational modeling. Her expertise includes:

  • Python Programming šŸ
  • Database Management šŸ—„ļø
  • Network Design Optimization šŸ› ļø
  • Data Visualization šŸ“Š
  • Algorithm Development āš™ļø

These skills allow her to analyze complex datasets, develop robust optimization models, and design effective algorithms that improve transportation efficiency and sustainability. Additionally, her involvement in developing software like the School Bus Scheduling Solver and MaaS Systems highlights her technical prowess in real-world applications.

Invention Patents and Software Copyrights šŸ’”

In addition to her research papers, Dr. Zhao holds a national invention patent for the Railway Disaster Prevention System and has developed two software copyrights:

  • School Bus Scheduling Solver
  • MaaS System Based on Knowledge Graphs

These patents and software showcase her ability to transform research ideas into practical solutions, driving innovation in the field of transportation safety and mobility services.Dr. Zhaoā€™s legacy is marked by her pioneering work in the intersection of transportation, data science, and urban development, setting the stage for future breakthroughs in smart mobility and sustainable transportation systems.

Top Noted Publications

Multi-depot vehicle scheduling with multiple vehicle types on overlapped bus routes

  • Authors: Shang, H., Liu, Y., Wu, W., Zhao, F.
    Journal: Expert Systems with Applications, 2023

Role of electric vehicle driving behavior on optimal setting of wireless charging lane

  • Authors: Zhao, F., Shang, H., Cui, J.
    Journal: Physica A: Statistical Mechanics and Its Applications, 2023

Integration of conventional and customized bus services: An empirical study in Beijing

  • Authors: Shang, H., Chang, Y., Huang, H., Zhao, F.
    Journal: Physica A: Statistical Mechanics and Its Applications, 2022

Role of transportation network on population distribution evolution

  • Authors: Zhao, F.X., Shang, H.Y.
    Journal: Physica A: Statistical Mechanics and Its Applications, 2021