Muhammad Ramzan | Applied math | Best Scholar Award

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

Orcid

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 |

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 Côte 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