Rami Ahmad El-Nabulsi | Theoretical | Lifetime Achievement Award

Prof. Dr. Rami Ahmad El-Nabulsi | Theoretical | Lifetime Achievement Award

Researcher at Czech Academy of Science, Czech Republic.

Dr. Rami Ahmad El-Nabulsi is a renowned physicist specializing in theoretical and applied mathematics, including nonlinear quantum systems, solid-state physics, and plasma MHD. With over 6,400 citations and 380 peer-reviewed publications, he is a professor at the Czech Academy of Sciences and a visiting professor at Chiang Mai University. He is known for developing mathematical tools to better understand physical processes and has contributed significantly to fields like nuclear engineering, astrophysics, and biophysics. πŸŒŸπŸ“šπŸŒ

Professional Profile:

ORCID Profile

Suitability for Lifetime Achievement Award πŸ†

Dr. Rami Ahmad El-Nabulsi is highly deserving of a Lifetime Achievement Award due to his profound contributions to theoretical and applied physics, spanning quantum dynamics, solid-state physics, plasma physics, and mathematical modeling. With over 380 peer-reviewed publications and 6,400+ citations, his research has significantly advanced our understanding of nonlinear quantum systems, astrophysics, and biophysics. His tenure as a professor at the Czech Academy of Sciences and visiting professor at Chiang Mai University reflects his global impact on scientific education and mentorship.

Education and Experience

  • PhD: Aix-Marseille University, France, in Particle Physics, Mathematical Physics, and Modeling πŸŽ“
  • Diploma of Advanced Studies (MS2): Aix-Marseille University, France, in Plasma Fusion and Radiation Astrophysics πŸ§‘β€πŸŽ“
  • MS1 and BS: Physics πŸ§‘β€πŸ”¬
  • Professor: Czech Academy of Sciences, Czech Republic πŸ‘¨β€πŸ«
  • Visiting Professor: Chiang Mai University, Thailand 🌏
  • Researcher and Speaker: Numerous international conferences 🌍

Professional Development

Dr. El-Nabulsi has an extensive career as a theoretical physicist, working across a broad range of scientific disciplines. He combines his expertise in applied mathematics and theoretical physics to create innovative models in nonlinear systems and complex physical processes. His research is bolstered by advanced computational tools, allowing for deeper insights into the behavior of quantum and classical systems. Over the years, he has also participated in and organized numerous global scientific events, advancing his field and contributing to academia and research worldwide. πŸŒŸπŸ“ˆπŸ§‘β€πŸ”¬

Research Focus

Dr. El-Nabulsi’s research spans multiple branches of theoretical and applied physics. His main focus includes nonlinear quantum dynamics, solid-state physics, and fluid dynamics, with applications in diverse fields such as nuclear engineering, biophysics, and space physics. He is particularly interested in modeling complex physical systems using advanced mathematical tools, which has led to significant breakthroughs in areas like quantum mechanics, plasma physics, and superconductivity. His work aims to reveal underlying physical processes, fostering a better understanding of quantum systems and material behaviors. πŸ§‘β€πŸ”¬πŸ”¬βš›οΈ

Awards and Honors

  • Top 2% Scientists for 2021 and 2022 πŸ†
  • Reviewer for 250+ journals πŸ“‘
  • EBM in 30+ journals πŸ“
  • Invited Speaker at international conferences worldwide 🌍
  • Researcher in Quantum Dynamics and Geometrical Physics πŸ§‘β€πŸ«
  • International Recognition in Physics and Mathematics 🌟

Publication Top Notes

1️⃣ New Criteria for Oscillation of Advanced Noncanonical Nonlinear Dynamic Equations

  • πŸ“… Year: 2024
  • ✍️ Authors: Taher S. Hassan, Rami Ahmad El-Nabulsi, Naveed Iqbal, A. Abdelmenaem
  • πŸ”— DOI: 10.3390/math12060824
  • πŸ› Source: Multidisciplinary Digital Publishing Institute

2️⃣ Oscillatory Properties of Solutions of Even-Order Differential Equations (Duplicate entries)

  • πŸ“… Year: 2020
  • ✍️ Authors: Elmetwally Elabbasy, Rami Ahmad El-Nabulsi, Osama Moaaz, Omar Bazighifan
  • πŸ”— DOI: 10.60692/bpbqh-npg81
  • πŸ”— DOI: 10.60692/ab6bt-4rv70
  • πŸ› Source: DataCite

Kiran Jyoti | Data Analytics | Best Researcher Award

Dr. Kiran Jyoti | Data Analytics | Best Researcher Award

Google Scholar Profile

Educational Details:

Ph.D. in Computer Science, Shri JJT University, Jhunjhunu, Rajasthan, May 2013

M.Tech. in Computer Science, Punjab Technical University, Jalandhar, 2007 (74.10%)

B.Tech. in Computer Science, NIT Jalandhar (PTU), 2000 (68%)

Matriculation, PSEB Mohali, 1994 (68%)

Professional Experience

Dr. Kiran Jyoti has approximately 24 years of experience in academia, during which she has made significant contributions to the field of Computer Science. She has guided 26 M.Tech theses and has supervised 4 Ph.D. students to completion, with 3 current Ph.D. students under her guidance. Dr. Jyoti is recognized for her commitment to education and research.

Research Interest

Her primary research area is Data Analytics, where she explores various methodologies and techniques to enhance data-driven decision-making processes. One of her notable works includes “An analysis of heart disease prediction using different data mining techniques,” which has garnered attention in the academic community.

Top Notable Publications

Title: An analysis of heart disease prediction using different data mining techniques
Authors: N Bhatla, K Jyoti
Year: 2012
Cited by: 277
Journal: International Journal of Engineering 1 (8), 1-4

Title: Research on auto-scaling of web applications in cloud: survey, trends and future directions
Authors: P Singh, P Gupta, K Jyoti, A Nayyar
Year: 2019
Cited by: 133
Journal: Scalable Computing: Practice and Experience 20 (2), 399-432

Title: A novel approach for heart disease diagnosis using data mining and fuzzy logic
Authors: N Bhatla, K Jyoti
Year: 2012
Cited by: 91
Journal: International Journal of Computer Applications 54 (17)

Title: TASM: technocrat ARIMA and SVR model for workload prediction of web applications in cloud
Authors: P Singh, P Gupta, K Jyoti
Year: 2019
Cited by: 68
Journal: Cluster Computing 22 (2), 619-633

Title: RHAS: robust hybrid auto-scaling for web applications in cloud computing
Authors: P Singh, A Kaur, P Gupta, SS Gill, K Jyoti
Year: 2021
Cited by: 37
Journal: Cluster Computing 24 (2), 717-737

Title: Survey of techniques of high-level semantic-based image retrieval
Authors: H Kaur, K Jyoti
Year: 2013
Cited by: 31
Journal: IJRCCT 2 (1), 15-19

Title: Enhancement in the Performance of K-means Algorithm
Authors: D Kaur, K Jyoti
Year: 2013
Cited by: 30
Journal: International Journal of Computer Science and Communication Engineering 2 (1)

Title: Hybrid encryption algorithm in wireless body area networks (WBAN)
Authors: S Farooq, D Prashar, K Jyoti
Year: 2018
Cited by: 27
Journal: Intelligent Communication, Control and Devices: Proceedings of ICICCD 2017

Title: Data clustering approach to industrial process monitoring, fault detection and isolation
Authors: K Jyoti, S Singh
Year: 2011
Cited by: 27
Journal: International Journal of Computer Applications 17 (2), 41-45

Conclusion

Given her extensive experience, strong educational background, impactful research contributions, and commitment to mentoring the next generation of scholars, Dr. Kiran Jyoti stands out as a highly suitable candidate for the Best Researcher Award. Her work not only advances the field of data analytics but also positively impacts the community, embodying the spirit of excellence that this award represents.