Maham Mujahid | Applied Mathematics | Best Researcher Award

Ms. Maham Mujahid | Applied Mathematics | Best Researcher Award

The Islamia University of Bahwalapur | Pakistan

Ms. Maham Mujahid is a mathematics researcher whose work centers on advanced fluid mechanics, with a particular emphasis on viscous and non-Newtonian fluid flows, nanofluid behavior, heat and mass transfer processes, and rheological analysis in complex geometries such as corrugated and curved channels. Her research integrates analytical and computational techniques, including perturbation methods and numerical simulations, to investigate pressure-driven flows, magnetized and hybrid nanofluids, nonlinear fluid models, slip and convective constraints, porous media effects, and entropy production in multiphase or biological flow environments. She has contributed significantly to the understanding of transport phenomena by publishing in high-impact international journals, covering themes such as Casson, Jeffrey, and Carreau-type fluids, thermal radiation, viscous dissipation, permeability, and metachronal wave motion. Her scholarly contributions also extend to hybrid nanofluid modeling based on Yamada–Ota and Xue frameworks, demonstrating her command of emerging areas in thermofluid systems. Alongside her research activities, she has gained substantial teaching experience at both undergraduate and graduate levels in courses related to calculus, linear algebra, integral equations, differential equations, numerical analysis, and fluid mechanics, consistently integrating theoretical knowledge with practical scientific applications. She is skilled in Mathematica, MATLAB, and various computational and productivity tools, enabling precise modeling, visualization, and academic communication. Her broader interests include computational fluid dynamics, non-Newtonian rheology, and the study of thermal and multiphase transport in engineered and natural systems, reflecting a strong commitment to advancing mathematical and physical sciences through research, teaching, and continuous professional development.

Profiles: Scopus | Google Scholar

Featured Publications

Mujahid, M., Abbas, Z., & Rafiq, M. Y. (2024). A study on the pressure‐driven flow of magnetized non‐Newtonian Casson fluid between two corrugated curved walls of an arbitrary phase difference. Heat Transfer, 53(8), 4510–4527.

Mujahid, M., Abbas, Z., & Rafiq, M. Y. (2024). Rheological study of water-based Cu nanofluid between two corrugated curved walls under constant pressure gradient. Alexandria Engineering Journal, 106, 691–703.

Mujahid, M., Abbas, Z., & Rafiq, M. Y. (2025). Flow of hybrid nanofluids between two permeable corrugated curved walls using Yamada–Ota and Xue models with variable viscosity. Physics of Fluids, 37(2).

Mujahid, M., Abbas, Z., & Rafiq, M. Y. (2024). Rheological analysis of pressure-driven Jeffrey fluid flow between corrugated porous curved walls with slip constraints. AIP Advances, 14(9).

Rafiq, M. Y., Abbas, Z., Munawar, F., Mujahid, M., & Durrani, A. (2025). Exploring entropy production in metachronal wave motion of Carreau fluid in a channel under lubrication hypothesis. International Journal of Thermofluids, 27, 101198.

Zeeshan khan | Mathematics | Most Cited Paper Award

Assist. Prof. Dr. Zeeshan khan | Mathematics | Most Cited Paper Award

Assistant Professor Bacha Khan University Charsadda Pakistan

🌟 Dr. Zeeshan is an accomplished academic serving as an Assistant Professor in the Department of Mathematics and Statistics at Bacha Khan University, Charsadda, KP, Pakistan. With over 100 publications in high-impact journals and recognition among the top 2% of scientists globally by Stanford University, his expertise spans applied mathematics, fluid mechanics, and nanofluid dynamics. He has contributed significantly to advancing mathematical modeling and analysis, earning prestigious accolades, including a certificate for his highly cited research (2022–2024).

Profile

Google Scholar

Education

🎓 Dr. Zeeshan completed his academic journey with a robust foundation in mathematics and statistics, earning accolades for his contributions to applied research. His academic credentials have been pivotal in shaping his career as a thought leader in mathematical sciences.

Experience

💼 With years of academic and research experience, Dr. Zeeshan has built an impressive portfolio as an Assistant Professor and active researcher. He has been instrumental in fostering innovation in mathematics and interdisciplinary studies, contributing to consultancy projects, and serving on esteemed academic boards, including GSC and ASRB.

Research Interests

🔍 Dr. Zeeshan’s research focuses on applied mathematics, fluid mechanics, nanofluids, and hybrid nanofluid dynamics. His expertise extends to polymer coatings, wire coatings, and optical fiber technologies, with a strong emphasis on mathematical modeling, numerical solutions, and AI-driven innovations.

Awards

🏆 Dr. Zeeshan has earned global recognition for his contributions to science, including:

  • Certificate for one of the most cited papers (2022–2024).
  • Inclusion in the top 2% world scientists by Stanford University.
    His remarkable achievements underscore his influence and dedication to advancing mathematics and science.

Publications Top Notes:

📚 Dr. Zeeshan has authored over 100 high-impact journal articles, with notable works including:

Effects of Joule heating and viscous dissipation on magnetohydrodynamic boundary layer flow of Jeffrey nanofluid over a vertically stretching cylinder

Supervised neural networks learning algorithm for three dimensional hybrid nanofluid flow with radiative heat and mass fluxes

Cattaneo-christov heat flux model of 3D hall current involving biconvection nanofluidic flow with Darcy-Forchheimer law effect: Backpropagation neural networks approach

Numerical computation of 3D Brownian motion of thin film nanofluid flow of convective heat transfer over a stretchable rotating surface

Effect of thermal radiation and chemical reaction on non-Newtonian fluid through a vertically stretching porous plate with uniform suction