Dr. Noor Zeb Khan | Nanotechnology and Materials Science | Editorial Board Member
Lecturer | Air University Islamabad | Pakistan
Dr. Noor Zeb Khan is an active researcher in Computational Fluid Dynamics (CFD), Nanotechnology, and Materials Science, contributing extensively to advanced numerical modeling and simulation. With 33 SCI-indexed publications and a cumulative impact factor of 106.50, his research is widely recognized, supported by 187 Scopus citations, 23 documents, and an h-index of 7 (Scopus) and 9 (Google Scholar). His work spans fluid–structure interaction, nanofluid dynamics, heat and mass transfer, magnetohydrodynamics (MHD), porous media flows, and hybrid numerical–AI methodologies integrating FEM, ANN, LBM, and COMSOL/MATLAB-based modeling. Dr. Noor Zeb Khan has produced influential research on wake dynamics, flow interference, and entropy generation analysis, including recent open-access studies such as his lattice Boltzmann investigation of dual rectangular cylinders and his FEM–ANN hybrid modeling of magnetized wavy enclosures. His findings contribute to improving predictive accuracy in thermal systems, microfluidic engineering, and energy-transport applications. He has delivered impactful contributions through high-quality journal publications, computational modelling advancements, and methodological innovations in machine-learning-assisted numerical simulations. His scholarly achievements include research awards, peer recognition, and growing citation influence. Dr. Noor Zeb Khan also provides reviewer services for multiple international SCI journals, supporting the advancement of CFD, applied mathematics, and nanofluid research communities. His ongoing work focuses on developing high-fidelity multiphysics models, optimizing thermo-hydrodynamic systems, and advancing smart computational frameworks that integrate physics-based solvers with artificial intelligence for next-generation engineering solutions.
Featured Publications
1. Bilal, S., Shah, M. I., Khan, N. Z., Akgül, A., & Nisar, K. S. (2022). Onset about non-isothermal flow of Williamson liquid over exponential surface by computing numerical simulation in perspective of Cattaneo–Christov heat flux theory. Alexandria Engineering Journal, 61(8), 6139–6150.
2. Shah, I. A., Bilal, S., Akgül, A., Omri, M., Bouslimi, J., & Khan, N. Z. (2022). Significance of cold cylinder in heat control in power law fluid enclosed in isosceles triangular cavity generated by natural convection: A computational approach. Alexandria Engineering Journal, 61(9), 7277–7290.
3. Bilal, S., Khan, N. Z., Shah, I. A., Awrejcewicz, J., Akgül, A., & Riaz, M. B. (2022). Numerical study of natural convection of power law fluid in a square cavity fitted with a uniformly heated T-fin. Mathematics, 10(3), 342.
4. Khan, N. Z., Bilal, S., Kolsi, L., Shflot, A. S., & Malik, M. Y. (2024). A case study on entropy generation in MHD nanofluid flow in L-shaped triangular corrugated permeable enclosure. Case Studies in Thermal Engineering, 59, 104487.
5. Khan, N. Z., Mahmood, R., Bilal, S., Akgül, A., Abdullaev, S., Mahmoud, E. E., … (2023). Mixed convective thermal transport in a lid-driven square enclosure with square obstacle. Alexandria Engineering Journal, 64, 981–998.