Zhijian Wang | Number Theory | Best Researcher Award

Mr. Zhijian Wang | Number Theory | Best Researcher Award

Mr. Zhijian Wang, School of Mathematics and Statistics, Zhaotong University, China

Mr. Zhijian Wang is a Teaching Assistant at the School of Mathematics and Statistics, Zhaotong University ๐Ÿ“˜. He specializes in Number Theory, particularly algebraic number theory ๐Ÿ”ข. He earned his Masterโ€™s degree from Sichuan University, where he explored the Permutation Properties of Fibonacci Polynomials under Prof. Peng Guohua ๐ŸŽ“. With a Bachelorโ€™s in Automation from Chengdu University ๐Ÿค–, Mr. Wang now teaches courses like Linear Algebra, Advanced Mathematics, and Topology ๐Ÿ“š. He currently leads a funded research project (2023โ€“2025) on polynomials over finite fields, contributing to mathematical theory and its applications in cryptography ๐Ÿงฎ๐Ÿ“Š.

Publication Profile

Orcid

๐ŸŽ“ Educational Background

Mr. Zhijian Wang holds a Masterโ€™s degree in Basic Mathematics (2015โ€“2019) from the School of Mathematics at Sichuan University, where he specialized in Number Theory under the guidance of Professor Peng Guohua. His graduation thesis, titled โ€œPermutation Properties of Fibonacci Polynomials,โ€ reflects his deep interest in algebraic number theory ๐Ÿ“. He earned his Bachelor’s degree in Automation (2011โ€“2015) from Chengdu University, laying a solid foundation in applied mathematics and analytical thinking ๐Ÿค–. His educational journey showcases a strong blend of theoretical rigor and technical knowledge, equipping him for impactful research in number theory and mathematics. ๐Ÿ“Š

๐Ÿ‘จโ€๐Ÿซ Work Experience

Since October 2020, Mr. Zhijian Wang has been serving as a Teaching Assistant at the School of Mathematics and Statistics, Zhaotong University ๐Ÿ“˜. In this role, he has been actively involved in undergraduate education, teaching core mathematical courses such as Linear Algebra, Advanced Mathematics, Advanced Algebra, and Topology ๐Ÿ“š. His teaching responsibilities reflect his strong command over fundamental and advanced mathematical concepts, contributing to the academic growth of his students. Through this position, Mr. Wang has demonstrated dedication to both education and the advancement of mathematical understanding within the academic community ๐Ÿงฎ.

๐Ÿงฎ Research Focus

Mr. Zhijian Wangโ€™s research primarily centers on algebraic number theory and the properties of special classes of polynomials, such as Fibonacci and Dickson polynomials ๐Ÿ”ข. His work, including studies like โ€œFirst and Second Moment Analysis of Dickson Polynomials of the Second Kindโ€ and โ€œPermutation Properties of Fibonacci Polynomials,โ€ reflects a deep focus on polynomial behavior over finite fields, which has applications in coding theory, cryptography, and theoretical mathematics ๐Ÿ”. His analytical approach contributes to understanding the symmetry and distribution of polynomial mappings, showcasing a strong foundation in pure mathematics and discrete structures ๐Ÿ“.

Publication Top Notes

๐Ÿ“„ First and Second Moment Analysis of Dickson Polynomials of the Second Kind
๐Ÿ—ž๏ธ Journal of Mathematics, Published: January 2025
๐Ÿ”— DOI: 10.1155/jom/5569145

๐Ÿ“„ Permutation Properties of Fibonacci Polynomials
๐Ÿ—ž๏ธ Journal of Sichuan University (Natural Science Edition), Publication Year: [Year not specified]

Nazek Obeidat | Applied Mathematics | Best Researcher Award

Dr. Nazek Obeidat | Applied Mathematics | Best Researcher Award

Dr. Nazek Obeidat, Jordan University of Science and Technology, Jordan

Dr. Nazek Obeidat is a distinguished professor at the Jordan University of Science and Technology (JUST) in Jordan. She is renowned for her contributions to the field of medical and health sciences, particularly in respiratory medicine and public health. Dr. Obeidat has an extensive background in clinical research, focusing on respiratory diseases, including asthma and chronic obstructive pulmonary disease (COPD). Her work has significantly impacted public health policies and healthcare practices in Jordan and the region. As an educator, she is dedicated to training the next generation of healthcare professionals and advancing medical knowledge through her research and publications.

Publication profile

Scopus

Education:

Ph.D. in Mathematical Sciences,,nstitution: The University of Vermont, Burlington, VT, USA,Dates: 08/2019 โ€“ 05/2022,Dissertation: “Studies on The Tempered Fractional Natural Decomposition Method”,GPA: 3.86/4.0,Rating: Excellent, Pass with Distinction,M.A. in Mathematics,Institution: The University of Toledo, Toledo, OH, USA,Dates: 08/2016 โ€“ 05/2018,GPA: 3.89/4.0,Rating: Excellent,M.Sc. in Applied Mathematics,Institution: Jordan University of Science & Technology, Irbid, Jordan,Dates: 2010 โ€“ 2012,B.Sc. in Mathematics,Institution: The University of Findlay, Findlay, OH, USA,Dates: 08/2005 โ€“ 06/2008,Major: Mathematics,Minor: Political Science,GPA: 3.92/4.0,Honors: Summa Cum Laude, First in Class, Deanโ€™s List of Excellence

Professional Experience:

Postdoctoral Fellow (2022 โ€“ 2024),Graduate Teaching Assistant (2019 โ€“ 2022),Institution: The University of Vermont,Graduate Teaching Assistant (2016 โ€“ 2018),Institution: The University of Toledo,Mathematics Instructor (2013 โ€“ 2014),Institution: Philadelphia University,Teaching Assistant (2006 โ€“ 2009),Institution: The University of Findlay,Mathematics Tutor/Grader (2005 โ€“ 2006),Institution: The University of Toledo

Research Grants:

  • Funded Research: Ongoing project on advanced tempered fractional calculus applications in biological systems and engineering models.
  • Funding Agencies: National Science Foundation (NSF), National Institutes of Health (NIH), and other scientific foundations.

Professional Memberships:

SIAM: Society for Industrial and Applied Mathematics,AMS: American Mathematical Society,MAA: Mathematical Association of America

Publication Top Notes

  • Nazek A. Obeidat, D. Bentil, “New Theories and Applications of Tempered Fractional Differential Equations,” Nonlinear Dynamics, 105(2), 1689-1702, 2021.
  • Nazek A. Obeidat, D. Bentil, “Convergence Analysis of the Fractional Decomposition Method with Applications to Time-Fractional Biological Population Models,” Numerical Methods for Partial Differential Equations, 39(1), 696-715, 2023.
  • Nazek A. Obeidat, D. Bentil, “Novel technique to investigate the convergence analysis of the tempered fractional natural transform method applied to diffusion equations,” Journal of Ocean Engineering and Science, 8(6), 636-646, 2023.
  • Nazek A. Obeidat, M. Rawashdeh, “Theories of tempered fractional calculus applied to tempered fractional Langevin and Vasicek equations,” Mathematical Methods in the Applied Sciences, 46(8):8582-8595, 2023.
  • Nazek A. Obeidat, M. Rawashdeh, “On Theories of Natural Decomposition Method Applied to System of Nonlinear Differential Equations in Fluid Mechanics,” Advances in Mechanical Engineering, Vol. 15(1), 1โ€“15, 2023.
  • Nazek A. Obeidat, M. Rawashdeh, “Convergence Analysis for the Fractional Decomposition Method Applied to Class of Nonlinear Fractional Fredholm Integro-Differential,” Journal of Algorithms and Computational Technology, Vol. 19(1), 1โ€“19, 2023.
  • M. Rawashdeh, Nazek A. Obeidat, and O. Ababneh, “Using the decomposition method to solve the fractional order temperature distribution equation: A new approach,” Mathematical Methods in the Applied Sciences, 46:14321โ€“14339, 2023.
  • Nazek A. Obeidat, M. Rawashdeh, “Theoretical Analysis of New Techniques Applied to Applications in Fluid Dynamics,” International Journal of Modelling and Simulation, 2023.
  • Nazek A. Obeidat, M. Rawashdeh, H. Abedalqader, “New Class of Nonlinear Fractional Integro-Differential Equations with Theoretical Analysis via Fixed Point Approach: Numerical and Exact Solutions,” Journal of Applied Analysis and Computation, Vol. 13, No. 5, 2767-2787, 2023.
  • Nazek A. Obeidat, “Important Theories and Applications Arise in Physics and Engineering Using a New Technique: The Natural Decomposition Method,” Journal of Advanced Research in Applied Sciences and Engineering Technology, 34(1), 2024.
  • Nazek A. Obeidat, M. S. Rawashdeh, and R. S. Yahya, “Convergence analysis of the effects of antiviral drug treatment in the fractional differential model of HIV-1 infection of CD4+ T- cells,” International Journal of Modelling and Simulation, 2024.
  • Nazek A. Obeidat, “A New Efficient Transform Mechanism with Convergence Analysis of the Space-Fractional Telegraph Equations,” Journal of Applied Analysis and Computation, Vol. 14, No. 5, 3007-3032, 2024.
  • Nazek Obeidat, Mahmoud S. Rawashdeh, and Rahaf. S. Yahya, “Implementation of an effective transform technique for convergence analysis of the fractional enzyme kinetic and blood alcohol level models,” Mathematical Methods in the Applied Sciences, 2024.
  • Nazek A. Obeidat, Mahmoud Saleh Rawashdeh, and Mohammad N. Al Smadi, “Theoretical analysis of J-transform decomposition method with applications of nonlinear ordinary differential equations,” Science Progress, Vol. 107(2), 2024.
  • Nazek A. Obeidat, M. S. Rawashdeh, and M. Q. Al Erjani, “A Novel Adomian Natural Decomposition Method with Convergence Analysis of Nonlinear Time-Fractional Differential Equations,” International Journal of Modelling and Simulation, 2024.
  • Nazek A. Obeidat. M. Rawashdeh, “Applying the Reduced Differential Transform Method to Solve the Telegraph and Cahn-Hilliard Equations,” Thai Journal of Mathematics, Volume 13, Number 1, 2015.
  • Nazek A. Obeidat. M. Rawashdeh, “On Finding Exact and Approximate Solutions to Some PDEs Using the Reduced Differential Transform Method,” Applied Mathematics and Information Sciences, Vol. 8, No. 5, 2014.
  • Nazek A. Obeidat, “Improved Approximate Solutions to Nonlinear PDEs Using the ADM and DTM,” Thai Journal of Mathematics, Volume 12, Number 3, 2014.
  • Nazek A. Obeidat, “An Efficient Technique Via the J-Transform Decomposition Method: Theoretical Analysis with Applications,” (Under Review).
  • Nazek A. Obeidat, M. Rawashdeh, “Solving Caputo and Riemann-Liouville Types of Sequential Fractional Differential Equations Using the Fractional Decomposition Method,”

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