Waseem Razzaq | Mathematical Physics | Member

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Dr. Waseem Razzaq | Mathematical Physics | Member

PHD at COMSETS Vehari Campus, Pakistan

Waseem Razzaq, a dedicated mathematician based in Vehari, Pakistan, holds a PhD in Mathematics and specializes in applied mathematics, fractional calculus, and exact solutions of differential equations. With a strong academic background, including an MPhil and MSc in Mathematics, Razzaq has authored numerous research articles published in reputable journals. He excels in teaching and has held various positions in educational institutions. Recognized as “The Best Teacher of the Year 2011,” Razzaq is passionate about supporting humanitarian actions, enjoys sports and book reading, and actively contributes to educational resources through his YouTube channel “Math Center.”

Professional Profiles:

Education

PhD: Institution: COMSETS Vehari Campus Subject: Mathematics Session: 2022 Fall – Continue Master of Philosophy: Institution: ISP, Multan, Pakistan Subject: Mathematics Session: 2018-2020 Master of Science: Institution: BZU, Vehari campus, Pakistan Subject: Mathematics Session: 2015-017 B.Ed: Institution: AIOU Islamabad Subjects: Math, Physics Session: 2016 B.Sc: Institution: BZU, Multan, Pakistan Subjects: Math-A&B/Comp Session: 2015

Work Experience

V.Principal, Vehari Leads College Pipli Adda Vehari (Feb 2021 – Present) Lecturer (Mathematics), Aspire Groups of Colleges Machiwal campus (July 2019 – Sep 2020) Visiting Lecturer (Mathematics), The Govt. Degree College Vehari (2018) Teacher (Math & Phy), The Smart School Vehari (2016) Teacher (Mathematics), The Educator College (girls campus) Vehari (2014-2015) Teacher (Math & Phy), Allied School Vehari (2013-2014) Teacher (Mathematics), The Public School Vehari (2009-2012)

Achievement

Awarded “The Best Teacher of the Year 2011” in The Public School Vehari.

Research Interests

Applied Mathematics Fractional Calculus Exact solutions of PDEs and ODEs Optimization Numerical solutions of PDEs and ODEs

Research Focus:

Waseem Razzaq’s research focuses on the theoretical and analytical aspects of nonlinear wave equations in optical and oceanographic sciences. He specializes in deriving exact soliton solutions and wave behaviors using various mathematical techniques, including the simplest equation method and fractional calculus. Razzaq’s contributions extend to diverse fields such as nonlinear optics, ocean engineering, and modern physics, as evidenced by his publications in reputable journals. His work significantly advances our understanding of nonlinear phenomena and contributes to the development of mathematical tools for modeling complex systems in optics and oceanography.

Publications

  1. Construction of Solitons and Other Wave Solutions for Generalized Kudryashov’s Equation with Truncated M-Fractional Derivative Using Two Analytical Approaches, cited by: 1, Publication: 2024.
  2. The complex hyperbolic Schrödinger dynamical equation with a truncated M-fractional by using simplest equation method, Publication: 2024.
  3. Applications of the Simplest Equation Procedure to Some Fractional Order Differential Equations in Mathematical Physics, Publication: 2024.
  4. The kink solitary wave and numerical solutions for conformable non-linear space–time fractional differential equations, Publication: 2024.
  5. Searching the new exact wave solutions to the beta-fractional Paraxial nonlinear Schrödinger model via three different approaches, cited by: 3, Publication: 2024.
  6. New analytical wave solitons and some other wave solutions of truncated M-fractional LPD equation along parabolic law of non-linearity, cited by: 4, Publication: 2023.
  7. Solitary wave solutions of coupled nerve fibers model based on two analytical techniques, cited by: 2, Publication: 2023.
  8. Optical solitons to the beta-fractional density dependent diffusion-reaction model via three different techniques, Publication: 2023.
  9. New Three Wave and Periodic Solutions for the Nonlinear (2+ 1)-Dimensional Burgers Equations, Publication: 2023.
  10. Research Article Solitary Wave Solutions of Conformable Time Fractional Equations Using Modified Simplest Equation Method, Publication: 2022.
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Mir Sajjad Hashemi | Lie symmetries | Member

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Prof Dr. Mir Sajjad Hashemi | Lie symmetries | Member

PHD at Imam Khomeini International University, Iran

Mir Sajjad Hashemi is an accomplished Associate Professor of Applied Mathematics with an H-index of 28. He earned his Ph.D. from Imam Khomeini International University, specializing in analytical and numerical solutions of differential equations. With extensive international experience, he has held visiting professorships in Italy and Turkey. Currently a member of the American Mathematical Society, Hashemi is based at the University of Bonab, Iran. Alongside his academic roles, he serves as an editorial member for prominent journals and has been recognized with several awards, including the prestigious “325 YEARS OF FRACTIONAL CALCULUS AWARD.” His contributions extend to executive positions within the university, reflecting his commitment to education and research.

Professional Profiles:

Education

Ph.D. (2010–2013): Imam Khomeini International University, Qazvin, Applied Mathematics. M.Sc. (2003–2005): University of Tabriz, Tabriz, Applied Mathematics. B.Sc. (1999–2003): Azarbaijan University of Tarbiat Moallem, Tabriz, Pure Mathematics.

Professional Experiences

2011–2012: Visiting Professor at University of Perugia, Perugia, Italy. 2015: Visiting Professor at Cankaya University, Ankara, Turkey. 2016: Visiting Professor at Firat University, Elazig, Turkey. 2017 – Present: Member of American Mathematical Society, University of Bonab, Iran.

Executive Activities

2013-2017: Vice-Chancellor of Student Affairs, University of Bonab. 2018-2021: Vice Chancellor of Education, Post-Graduate Studies, Research and Technology, University of Bonab.

Honors

Recipient of multiple Distinguished Researcher of the Year awards at University of Bonab. “325 YEARS OF FRACTIONAL CALCULUS AWARD” from the First Online Conference on Modern Fractional Calculus and Its Applications, Biruni University, Istanbul, Turkey, December 4-6, 2020. Named among World’s Top 2% Scientists by Stanford University.

Research Focus:

Mir Sajjad Hashemi’s research primarily focuses on the convergence and applications of numerical methods in solving fractional integro-differential equations and other nonlinear partial differential equations. He has made significant contributions to the development and analysis of methods such as the homotopy analysis method and the Lie-group shooting method. His work encompasses a broad range of topics, including Lie symmetry analysis, exact solutions of fractional differential equations, numerical approximation techniques, and the study of solitary wave solutions in various physical systems. Hashemi’s research provides valuable insights into the behavior of complex nonlinear systems and their mathematical representations, contributing to advancements in applied mathematics and computational physics.

Publications 

  1. Classical and non-classical Lie symmetry analysis, conservation laws and exact solutions of the time-fractional Chen–Lee–Liu equation, cited by: 5, Publication date: 2023.
  2. New mathematical modellings of the Human Liver and Hearing Loss systems with fractional derivatives, cited by: 5, Publication date: 2023.
  3. Lie symmetries, exact solutions, and conservation laws of the nonlinear time-fractional Benjamin-Ono equation, cited by: 5, Publication date: 2022.
  4. Periodic Hunter–Saxton equation parametrized by the speed of the Galilean frame: Its new solutions, Nucci’s reduction, first integrals and Lie symmetry reduction, cited by: 5, Publication date: 2023.
  5. Non‐classical Lie symmetries for nonlinear time‐fractional Heisenberg equations, cited by: 5, Publication date: 2022.
  6. Three different integration schemes for finding soliton solutions in the (1+1)-dimensional Van der Waals gas system, cited by: 4, Publication date: 2023.
  7. On solution of Schrödinger–Hirota equation with Kerr law via Lie symmetry reduction, cited by: 4, Publication date: 2023.
  8. The (3+ 1)-dimensional Wazwaz–KdV equations: the conservation laws and exact solutions, cited by: 4, Publication date: 2023.
  9. Novel exact solutions to a coupled Schrödinger–KdV equations in the interactions of capillary–gravity waves, cited by: 4, Publication date: 2023.
  10. Analytical treatment on the nonlinear Schrödinger equation with the parabolic law, cited by: 7, Publication date: 2023.

 

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Data Analysis Techniques

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Introduction to Data Analysis Techniques:

Data analysis techniques are fundamental tools across various scientific disciplines, enabling researchers to extract meaningful insights and knowledge from large and complex datasets. Whether in the realms of physics, biology, finance, or social sciences, effective data analysis is crucial for making informed decisions, identifying trends, and drawing conclusions.

Statistical Analysis:

Statistical techniques involve the application of probability theory and mathematical statistics to analyze data, including hypothesis testing, regression analysis, and Bayesian inference, to uncover patterns and relationships.

Machine Learning and Predictive Modeling:

Explore the use of machine learning algorithms to build predictive models, classify data, and make data-driven predictions, with applications in fields such as image recognition, natural language processing, and recommendation systems.

Data Visualization:

Delve into data visualization techniques that enable researchers to represent data graphically, creating informative charts, graphs, and interactive visualizations to communicate findings effectively.

Big Data Analytics:

Focus on the challenges and methods for handling and analyzing large-scale datasets, including distributed computing, data preprocessing, and scalable machine learning algorithms.

Time Series Analysis:

Examine techniques for analyzing time-ordered data, such as financial data, environmental monitoring, and physiological signals, to identify trends, periodicities, and anomalies.

 

 

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