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

👨‍🎓 Profile

📚 Early Academic Pursuits

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

👨‍🔬 Professional Endeavors

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

🔬 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 into collective phenomena in collision-dominated plasmas and density effects in radiation and stopping have significantly advanced the understanding of non-ideal plasmas.

🌟 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. His collaborative work under NATO Science Programs has pioneered advancements in plasma absorption, stopping, and x-ray emission efficiency. These efforts have enriched global understanding of high energy density matter and its practical applications.

📊 Academic Citations

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

🛠️ Technical Skills

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

  • Plasma Spectroscopy
  • High-Energy Particle Generation
  • Optical Diagnostics for dense plasmas
    His technical expertise enables precise insights into vacuum discharge phenomena and x-ray efficiency under extreme conditions.

🏫 Teaching and Knowledge Dissemination

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

🏅 Legacy and Future Contributions

Dr. Yuri K. Kurilenkov’s legacy lies in his groundbreaking insights into strongly coupled plasmas and his role in advancing the fundamentals of nuclear technologies. His work on nano-second vacuum discharges and virtual cathodes continues to push the boundaries of nuclear microreactor development. Kurilenkov’s research ensures a lasting impact on the fields of 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. Gus’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 Proton–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. Gus’kov, I.S. Samoylov
  •  Journal: Plasma Physics Reports, 2022

 

 

Maurizio Dapor| Computational Methods | Best Researcher Award

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Dr. Maurizio Dapor| Computational Methods | Best Researcher Award

Physicist at Fondazione Bruno Kessler, Italy

Maurizio Dapor is an esteemed Italian physicist and Senior Research Scientist at the Interdisciplinary Laboratory for Computational Science at ECT*-FBK. Born on April 23, 1959, he has made significant contributions to both theoretical and experimental physics. With dual habilitations as a Full Professor in these fields, Dapor has been pivotal in advancing computational methods in materials science. His role as an Associate Editor for Computational Materials Science and various visiting professorships across Europe further exemplify his commitment to research and education. Recognized as one of Stanford’s Top 2% Scientists, his work continues to impact the scientific community.

 🎓Profile: 

Education:

Dapor earned his M.Sc. in Physics with Summa Cum Laude from the University of Trento in 1984. He later pursued a Ph.D. in Materials Science and Engineering from the same institution, completing it in 2013. His educational journey began at Liceo Antonio Rosmini, where he graduated with a High School Diploma in 1978. This strong academic foundation has enabled him to excel in various roles in academia and research, contributing extensively to the scientific understanding of materials and their applications.

Professional Experience:

With over three decades of experience, Dapor has held key positions, including Senior Scientist at ECT* and Head of the FBK Interdisciplinary Laboratory for Computational Science. He has served as a Teaching Fellow at the University of Trento, focusing on Solid State Physics and Computational Methods. His international experience includes visiting professorships at Gdansk University of Technology and the University of Sheffield, enhancing his global academic profile. Additionally, Dapor has contributed as a scientific consultant at ETH Zurich, reinforcing his expertise in computational materials research and development.

Research Focus:

Maurizio Dapor’s research primarily centers on computational science and its application to materials physics. He investigates complex phenomena in solid-state systems and develops innovative computational methods to enhance our understanding of material properties. His work addresses critical challenges in transport phenomena and aims to bridge theoretical insights with practical applications. By focusing on interdisciplinary collaborations, Dapor’s research not only advances theoretical frameworks but also contributes to the development of cutting-edge materials for various technological applications.

Awards and Honors:

Dapor’s contributions to physics and materials science have earned him notable recognition, including the distinction of being listed among Stanford’s Top 2% Scientists. His academic achievements are further highlighted by two National Scientific Habilitations as a Full Professor in both Theoretical and Experimental Physics of Matter. His work as an Associate Editor for Frontiers in Materials demonstrates his leadership in advancing the field. These accolades reflect his dedication to research excellence and his influence on the scientific community.

📚Publication Top Notes:

Title: Charge Phenomena in the Elastic Backscattering of Electrons from Insulating Polymers
  • Authors: Dapor, M.
    Publication Year: 2024
    Citations: 0
Title: Electron-induced hydrogen desorption from selected polymers (polyacetylene, polyethylene, polystyrene, and polymethyl-methacrylate)
  • Authors: Dapor, M.
    Publication Year: 2024
    Citations: 1
Title: The role of low-energy electrons in the charging process of LISA test masses
  • Authors: Taioli, S., Dapor, M., Dimiccoli, F., Villani, M., Weber, W.J.
    Publication Year: 2023
    Citations: 11
Title: Mechanical Properties of Twisted Carbon Nanotube Bundles with Carbon Linkers from Molecular Dynamics Simulations
  • Authors: Pedrielli, A., Dapor, M., Gkagkas, K., Taioli, S., Pugno, N.M.
    Publication Year: 2023
    Citations: 6
Title: The Role of Molecular Structure in Monte Carlo Simulations of the Secondary Electron Yield and Backscattering Coefficient from Methacrylic Acid
  • Authors: Wiciak-Pawłowska, K., Winiarska, A., Taioli, S., Franz, M., Franz, J.
    Publication Year: 2023
    Citations: 0
Title: Spin-polarization after scattering
  • Authors: Dapor, M.
    Publication Year: 2023
    Citations: 1
Title: In search of the ground-state crystal structure of Ta2O5 from ab initio and Monte Carlo simulations
  • Authors: Pedrielli, A., Pugno, N.M., Dapor, M., Taioli, S.
    Publication Year: 2023
    Citations: 5

 

 

 

D. Easwaramoorthy | Computational Methods | Best Researcher Award

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Assoc Prof Dr. D. Easwaramoorthy | Computational Methods | Best Researcher Award

Associate Professor at Vellore Institute of Technology, Vellore, India

Dr. D. Easwaramoorthy is an Associate Professor in the Department of Mathematics at Vellore Institute of Technology, Tamil Nadu, India. With a passion for mathematics and education, he has dedicated over 11 years to teaching and nurturing the next generation of mathematicians. Dr. Easwaramoorthy’s commitment to academic excellence is evident through his extensive research and publication record, which has earned him recognition both nationally and internationally. He actively engages in interdisciplinary research and is known for his contributions to fuzzy mathematics and fractal analysis.

🎓Profile:

Education:

Dr. Easwaramoorthy holds a Ph.D. in Mathematics from The Gandhigram Rural Institute, where he completed his thesis on Fuzzy Fractal Analysis with Applications. He earned his M.Sc. in Mathematics from Bharathidasan University with a focus on the Stone-Weierstrass Theorem, achieving a commendable 79.5%. His academic journey began with a B.Sc. in Mathematics from Bishop Heber College, where he excelled with 82%. His educational qualifications reflect a strong foundation in mathematical principles, further enhanced by various certifications in advanced topics, including machine learning and data science.

Professional Experience:

Dr. Easwaramoorthy has over 16 years of research experience and 11 years of teaching experience. He began his academic career as a Junior Assistant Professor at Vellore Institute of Technology and has progressed to his current role as an Associate Professor. Throughout his tenure, he has taught various courses, including Discrete Mathematics, Graph Theory, and Machine Learning. His role as a Ph.D. guide demonstrates his commitment to mentoring aspiring researchers. Dr. Easwaramoorthy’s experience is complemented by participation in international conferences and collaborative projects, enhancing his profile as a well-rounded academic.

Research Focus:

Dr. Easwaramoorthy’s research primarily focuses on Fractal Analysis, Fuzzy Mathematics, and Signal and Image Analysis. His notable work includes publications in peer-reviewed journals and contributions to various academic books. He is particularly interested in applying mathematical concepts to real-world problems, emphasizing the significance of fuzzy logic and fractals in various domains. His involvement in a UGC-funded project exploring chaotic dynamics in the human brain demonstrates his interdisciplinary approach to research. Dr. Easwaramoorthy continues to explore new frontiers in mathematics, aiming to contribute to both theoretical and applied mathematics.

Awards and Honors:

Dr. Easwaramoorthy has received several accolades for his contributions to mathematics, including the Young Scientist Award at the International Scientist Awards on Engineering, Science, and Medicine. He qualified for the Tamil Nadu State Eligibility Test (TNSET) in 2017, showcasing his proficiency in mathematical sciences. Additionally, he was awarded the GRI-Fellowship at The Gandhigram Rural Institute, further recognizing his academic achievements. His accolades reflect not only his research excellence but also his commitment to fostering a culture of academic achievement and innovation.

📚Publication Top Notes:

Generation of Fractals via Iterated Function System of Kannan Contractions in Controlled Metric Space
    • Authors: Thangaraj, C., Easwaramoorthy, D., Selmi, B., Chamola, B.P.
    • Year: 2024
    • Citations: 6
Enumeration of Multivariate Independence Polynomial for Iterations of Sierpinski Triangle Graph
    • Authors: Nithiya, K.S., Easwaramoorthy, D.
    • Year: 2024
    • Citations: 0
Multifractal Detrended Fluctuation Analysis on COVID-19 Dynamics
    • Authors: Dhanzeem Ahmed, M., Easwaramoorthy, D., Selmi, B., Darabi, S.
    • Year: 2023
    • Citations: 1
An Integrated Perspective of Fractal Time Series Analysis for Infected Cases of COVID-19
    • Authors: Gowrisankar, A., Easwaramoorthy, D., Valarmathi, R., Ananth, C., Vasiliev, I.
    • Year: 2023
    • Citations: 0
Fractal Based Automatic Detection of Complexity in COVID-19 X-ray Images
    • Authors: Thangaraj, C., Easwaramoorthy, D., Muhiuddin, G., Selmi, B., Kulish, V.
    • Year: 2023
    • Citations: 0
Fractals via Controlled Fisher Iterated Function System
    • Authors: Thangaraj, C., Easwaramoorthy, D.
    • Year: 2022
    • Citations: 2
Generalized Fractal Dimensions Based Comparison Analysis of Edge Detection Methods in CT Images for Estimating the Infection of COVID-19 Disease
    • Authors: Thangaraj, C., Easwaramoorthy, D.
    • Year: 2022
    • Citations: 9