Muhammad Ramzan | Applied math | Best Scholar Award

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Mr. Muhammad Ramzan | Applied math | Best Scholar Award

Scholar, Bahauddin Zakariya University, Pakistan

Muhammad Ramzan is a researcher and academic based at Bahauddin Zakariya University, Multan, Punjab, Pakistan. With a strong background in applied mathematics and fluid dynamics, he has earned recognition for his contributions to the study of heat transfer, nanofluids, and fractional derivatives. His work focuses on the theoretical and numerical modeling of complex fluid flow phenomena and their interaction with magnetic fields, heat transfer, and chemical reactions. As an active member of the scientific community, he regularly collaborates with other esteemed researchers to tackle challenging problems in applied mathematics and engineering, publishing widely in high-impact journals. Ramzan’s work is widely cited and respected, reflecting his expertise and commitment to advancing knowledge in his field.

Profile

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Education 🎓

Muhammad Ramzan completed his academic journey at Bahauddin Zakariya University, Multan, where he has been a dedicated student from October 2, 2017, to March 20, 2025. During his academic career, Ramzan immersed himself in advanced studies focusing on applied mathematics, specifically in the areas of fluid dynamics, heat transfer, and fractional calculus. His education has equipped him with the skills to conduct high-level research in these areas, contributing to the development of novel mathematical models used to understand complex physical systems. His academic foundation in applied mathematics has laid the groundwork for his significant research and publications, positioning him as an emerging leader in his field. Through rigorous coursework and research, Ramzan has demonstrated a strong commitment to advancing scientific knowledge and solving real-world problems.

Employment 💼

Muhammad Ramzan holds a position at Bahauddin Zakariya University, Multan, Punjab, Pakistan, under the Department of Applied Mathematics (CASPAM). His work at the university is centered around both teaching and research, with a focus on applied mathematics and its real-world applications in fluid mechanics and heat transfer. In addition to his teaching responsibilities, he actively engages in research projects, collaborating with both local and international experts in his field. Ramzan’s employment has provided him with the opportunity to explore advanced topics in fluid dynamics, nanofluids, and mathematical modeling, leading to multiple publications in prestigious scientific journals. His work at the university also allows him to mentor students and contribute to the development of new academic programs in applied mathematics, positioning the institution as a hub for cutting-edge research.

Research Focus 🔬

Muhammad Ramzan’s research primarily focuses on the study of fluid dynamics, heat transfer, and mathematical modeling using fractional derivatives. He investigates the impact of Brownian motion, thermophoresis, and chemical reactions on fluid flow and heat transfer in complex systems. His work often involves the study of nanofluids, magnetohydrodynamic (MHD) flows, and the application of advanced mathematical tools such as fractional calculus and hybrid fractal derivatives. By combining theoretical modeling with numerical simulations, his research aims to improve understanding of these complex systems and contribute to fields like engineering and materials science. Ramzan’s research is not only groundbreaking but also highly practical, with potential applications in various industries, including energy, manufacturing, and environmental science. His interdisciplinary approach bridges applied mathematics and engineering, offering innovative solutions to real-world problems.

Publication Top Notes📄

  1. Effect of Brownian and thermophoresis motion on fluid flow with chemical reaction and heat transfer 🌡️
    Published in Radiation Effects and Defects in Solids, 2025
    DOI: 10.1080/10420150.2025.2467360

  2. A comparative study of heat absorption and chemical reaction on MHD flow with fractional derivatives 🔥
    Published in Numerical Heat Transfer, Part A: Applications, 2024
    DOI: 10.1080/10407782.2024.2375322

  3. Analysis of heat and mass transfer on nanofluid: An application of hybrid fractal-fractional derivative 🌫️
    Published in Numerical Heat Transfer, Part A: Applications, 2024
    DOI: 10.1080/10407782.2024.2366442

  4. Application of fractional derivative on nanofluid with magnetic field ⚡
    Published in Numerical Heat Transfer, Part B: Fundamentals, 2024
    DOI: 10.1080/10407790.2024.2362940

  5. Analysis of active and passive control of fluid with fractional derivative ⚙️
    Published in Numerical Heat Transfer, Part A: Applications, 2024
    DOI: 10.1080/10407782.2024.2327008

 

 

 

Dr. Mohammed Elghandouri | Applied Mathematics |

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Dr. Mohammed Elghandouri | Applied Mathematics | Best Researcher Award

Postdoctoral position , Inria de Lyon, France.

Dr. Mohammed Elghandouri is a Moroccan-born researcher specializing in applied mathematics and computer science. He holds a Ph.D. from a joint doctoral program between Cadi Ayyad University (Morocco) and Sorbonne University (France), focusing on controllability and dynamic systems. Passionate about mathematical modeling, his work spans across various disciplines including epidemiology, optimal control, and integrodifferential equations. Currently, Dr. Elghandouri is a postdoctoral researcher at the Centre INRIA de Lyon, France, contributing to mathematical modeling of vector-borne diseases. With a deep commitment to research and education, he actively participates in conferences, training programs, and scientific communities globally.

Profile 

Education 🎓

Dr. Elghandouri completed his Ph.D. in applied mathematics and computer science through a joint doctoral program between Cadi Ayyad University in Morocco and Sorbonne University in France, where his thesis focused on controllability for nonlocal integrodifferential equations. Prior to his Ph.D., he obtained a Master’s degree in Mathematical Modeling and Dynamic Systems Analysis from Cadi Ayyad University. He also holds an International Master’s degree in Mathematics and Applications from CĂ´te d’Azur University, France. His academic journey began with a Bachelor’s degree in Mathematical Sciences and Applications at Cadi Ayyad University. He has also attended numerous training courses and participated in workshops worldwide to refine his research and teaching skills.

Experience 💼

Dr. Elghandouri has extensive research experience, particularly in the areas of mathematical modeling, dynamic systems, and optimal control. He is currently a postdoctoral researcher at the Centre INRIA de Lyon, where he works on mathematical models for vector-borne diseases. Throughout his career, Dr. Elghandouri has collaborated with prestigious institutions, including Sorbonne University and Cadi Ayyad University, and has contributed to international conferences, workshops, and seminars in the fields of applied mathematics, epidemiology, and control theory. His research stay in France allowed him to enhance his expertise in complex systems modeling. Additionally, he has participated in various scientific and training activities, building strong interdisciplinary research connections.

Research Focus 🔬

Dr. Elghandouri’s research is focused on the controllability of dynamic systems, with special attention to integrodifferential equations and their applications in mathematical and computer modeling. His work encompasses topics like optimal control, epidemiological modeling, and the modeling of complex systems, particularly for public health applications such as vector-borne diseases. He is interested in the theoretical aspects of well-posedness, asymptotic behavior, and approximate controllability in infinite-dimensional systems, including those with nonlocal conditions. His work is interdisciplinary, bridging applied mathematics with epidemiology, environmental sciences, and computational modeling. Dr. Elghandouri is dedicated to exploring new mathematical models that can solve real-world problems in public health and beyond.

Publications 📚

  • Approximation of Mild Solutions of Delay Integro-Differential Equations on Banach Spaces
  • Approximate Controllability for Some Integrodifferential Evolution Equations with Nonlocal Conditions
  • Well-Posedness and Approximate Controllability for Some Integrodifferential Evolution Systems with Multi-Valued Nonlocal Conditions
  • Exploring Well-Posedness and Asymptotic Behavior in an Advection-Diffusion-Reaction (ADR) Model
  • Optimal Control of General Impulsive VS-EIAR Epidemic Models with Application to COVID-19
  • Approximate Controllability for Nonautonomous Integrodifferential Equations with State-Dependent Delay
  • On The Approximate Controllability for Fractional Neutral Inclusion Systems With Nonlocal Conditions
  • Regional Control Strategies for a Spatiotemporal SQEIAR Epidemic Model: Application to COVID-19
  • Approximate Controllability for Some Nonlocal Integrodifferential Equations in Banach Spaces
  • Dynamical Analysis and Numerical Simulation of a Reaction-Diffusion Model for Microbial Decomposition of Organic Matter in 3D Soil Structure

Sonia Akram | Applied Mathematics | Best Researcher Award

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Ms. Sonia Akram | Applied Mathematics | Best Researcher Award

Researcher at University of Gujrat, Pakistan

Sonia Akram, born on February 4, 1998, in Gujrat, Pakistan, is a dedicated researcher in the field of Applied Mathematics, specializing in Soliton Theory. She completed her M.Phil from the University of Gujrat in August 2023, achieving a perfect CGPA of 4.00. With a remarkable portfolio of 20 published research articles, Sonia’s work is recognized in reputable peer-reviewed journals. Passionate about advancing mathematical physics, she aims to incorporate artificial intelligence into her future research. Sonia actively participates in conferences to share her insights and collaborate with fellow researchers. Her academic journey reflects her commitment to contributing to the advancement of knowledge in her field.

Profile:

Scopus Profile

Strengths for the Award:

  1. Strong Academic Background:
    • Sonia holds an M.Phil in Applied Mathematics with a perfect CGPA, showcasing her academic excellence.
    • Her thesis focuses on a relevant and advanced topic in mathematical physics, indicating a deep understanding of her field.
  2. Significant Research Output:
    • She has published 20 research articles in reputable peer-reviewed journals, highlighting her productivity and commitment to research.
    • Her recent work involves complex analyses such as Lie Symmetry, Bifurcation, Chaos, and Sensitivity Analysis, demonstrating her versatility and depth of knowledge.
  3. Innovative Research Interests:
    • Sonia’s plan to integrate Neural Network modeling into her research indicates a forward-thinking approach, bridging traditional mathematics with modern artificial intelligence.
  4. Recognition and Awards:
    • She has received a gold medal for her performance in her Master’s program and has been recognized with a merit-based laptop from the Prime Minister of Pakistan, showcasing her achievements.
  5. International Engagement:
    • Participation in international conferences indicates her willingness to engage with the global research community and stay updated with current trends.

Areas for Improvement:

  1. Networking and Collaboration:
    • While she has published multiple articles, fostering collaborations with researchers from different fields could further enhance her research profile and introduce her to new methodologies.
  2. Broader Impact:
    • Emphasizing the practical applications of her research in real-world scenarios could strengthen her research narrative and appeal to a wider audience.
  3. Public Outreach:
    • Engaging in community outreach or educational initiatives to promote mathematics and its applications could enhance her visibility and demonstrate her commitment to the field beyond academia.
  4. Diversity of Research Topics:
    • While her current focus is impressive, diversifying her research topics could open new avenues and strengthen her overall impact in the field.

Education:

Sonia Akram holds an M.Phil in Applied Mathematics from the University of Gujrat, where she graduated with a perfect CGPA of 4.00 in August 2023. Her thesis focused on the “Wave Structure of Some Nonlinear Dynamical Models Arise in Mathematical Physics,” demonstrating her expertise in advanced mathematical concepts. Prior to her M.Phil, she earned a Master’s degree in Mathematics from the same institution (2018-2021) and a Bachelor’s degree in Science (2016-2018), laying a solid foundation in mathematics and statistics. Sonia’s academic training encompasses various areas of natural sciences, enhancing her analytical and problem-solving skills. Her educational achievements underscore her commitment to excellence and her potential to contribute significantly to the field of applied mathematics.

Experience:

Sonia Akram has gained valuable experience in research and academia through her extensive work in Applied Mathematics. During her M.Phil studies, she focused on soliton and lump solutions of nonlinear dynamical models, contributing to her field with 20 research publications. Her collaboration with prominent researchers has enabled her to engage in significant studies, including modulation instability analysis and bifurcation analysis. In addition to her research, Sonia has attended several academic conferences, such as the “1st International Alumni’s Mathematics UET Conference” in February 2022, where she presented her findings and networked with fellow researchers. This experience has allowed her to refine her communication skills and enhance her professional network. Sonia’s commitment to advancing mathematical research positions her as an emerging expert in her field.

Awards and Honors:

Sonia Akram has received several prestigious awards recognizing her academic excellence and research contributions. She was honored as a gold medalist during her Master’s program in Mathematics at the University of Gujrat, highlighting her exceptional academic performance. Additionally, she was awarded a merit-based laptop from the Prime Minister of Pakistan, which underscores her dedication and hard work in the field of mathematics. These accolades not only reflect Sonia’s academic achievements but also serve as motivation for her continued pursuit of knowledge and research excellence. Her accomplishments position her as a strong candidate for further awards and recognition in her academic and research endeavors, inspiring future generations of mathematicians.

Research Focus:

Sonia Akram’s research focuses on soliton theory and nonlinear dynamical models in both classical and fractional forms. She employs linear stability theory to analyze modulation instability and has published 20 articles in reputable peer-reviewed journals. Her work explores advanced topics such as Lie Symmetry Analysis, Bifurcation Analysis, and Chaos Theory, showcasing her versatility in applied mathematics. Recently, she has extended her research to include sensitivity analysis of various nonlinear models, further enhancing the depth of her studies. Sonia is also planning to integrate neural network modeling in artificial intelligence into her future research, bridging the gap between traditional mathematics and modern computational methods. Her commitment to advancing knowledge in applied mathematics reflects her passion for solving complex problems and contributing to the scientific community.

Publications Top Notes:

  1. Soliton solutions for some higher order nonlinear problems of mathematical engineering, Nonlinear Engineering. Modeling and Application (2023).
  2. Soliton solutions and sensitive analysis to nonlinear wave model arising in optics, Physica Scripta, 2024.
  3. Propagation of solitary wave solutions to (4+1)-dimensional Davey–Stewartson–Kadomtsev–Petviashvili equation arise in mathematical physics and stability analysis, 2024.
  4. Stability analysis and solitonic behaviour of Schrödinger’s nonlinear (2+1) complex conformable time fractional model, Optical and Quantum Electronics, 2024.
  5. Dispersive optical soliton solutions to the truncated time M-fractional paraxial wave equation with its stability analysis, 2024.
  6. Dynamical behaviors of analytical and localized solutions to the generalized Bogoyavlvensky–Konopelchenko equation arising in mathematical physics, 2024.
  7. Stochastic wave solutions of fractional Radhakrishnan–Kundu–Lakshmanan equation arising in optical fibers with their sensitivity analysis, 2024.
  8. Analysis of bifurcation, chaotic structures, lump and M − W-shape soliton solutions to (2 + 1) complex modified Korteweg-de-Vries system, 2024.
  9. Retrieval of diverse soliton, lump solutions to a dynamical system of the nonlinear Biswas–Milovic equation and stability analysis, 2024.
  10. Stability analysis and soliton solutions of truncated M-fractional Heisenberg ferromagnetic spin chain model via two analytical methods, 2024.
  11. Analysis of new soliton type solutions to generalized extended (2 + 1)-dimensional Kadomtsev-Petviashvili equation via two techniques, 2024.

Conclusion:

Sonia Akram is a promising researcher with a solid foundation in applied mathematics and a notable publication record. Her innovative approach to integrating AI into her research, coupled with her academic achievements, positions her as a strong candidate for the Best Researcher Award. By addressing some areas for improvement, particularly in networking and broader impact, she can further elevate her research profile and contribution to the field. Recognizing her efforts with this award would not only honor her achievements but also encourage her continued growth and innovation in mathematical research.