Dr. Kaivan Mohammadi | Mathematics | Best Researcher Award

Dr. Kaivan Mohammadi | Mathematics | Best Researcher Award

University of kurdistan | Iran

Dr. Mohammad kaivan is an Associate Professor in the Department of Mathematics at the University of Kurdistan, Iran, with a PhD in Applied Mathematics (Numerical Analysis) from Iran University of Science and Technology. h-index-4, citiation-31, total Documents-7. He has developed expertise in numerical analysis, especially in sinc‐based and collocation methods, integro‐differential equations, singular boundary value problems, and singularly perturbed systems, as evidenced by his work in nonclassical sinc-collocation, double sinc methods, SE- and DE-sinc collocation, and Volterra–Fredholm integrodifferential equations (as in the list of seven articles you provided). He teaches advanced numerical methods, differential equations, and computational mathematics courses. While explicit awards are not publicly listed, his sustained contributions and multiple publications in international journals reflect recognition within his field. His research interests span numerical methods for singular, integro-differential, and boundary value problems, exponential convergence analyses, and applications in physiology and engineering. In summary, Dr. Ghasemi is a prominent researcher in sinc-collocation numerical methods, contributing theoretical advances and computational techniques valuable to applied mathematics and scientific modeling.

Profile : Scopus

Featured Publications

Mohammadi, K., Alipanah, A., & Ghasemi, M. (2022). A non-classical sinc-collocation method for the solution of singular boundary value problems arising in physiology. International Journal of Computer Mathematics, 99(8), 1941–1967.

Alipanah, A., Mohammadi, K., & Ghasemi, M. (2023). Numerical solution of third-order boundary value problems using non-classical sinc-collocation method. Computational Methods for Differential Equations, 11(3), 643–663.*

Ghasemi, M., Mohammadi, K., & Alipanah, A. (2023). Numerical solution of system of second-order integro-differential equations using nonclassical sinc collocation method. Boundary Value Problems, 38(1), 1–24.*

Mohammadi, K., & Alipanah, A. (2023). Numerical solution of the system of second-order integro-differential equations using non-classical double sinc method. Results in Applied Mathematics, 19, 100381.*

Alipanah, A., Mohammadi, K., & Shiralizadeh, M. (2023). Numerical solution of third-order singular boundary value problems with nonclassical SE-sinc-collocation and nonclassical DE-sinc-collocation. Results in Applied Mathematics, 20, 100403

Muhammad Amer Qureshi | Biomedical Engineering | Best Researcher Award

Assoc. Prof. Dr. Muhammad Amer Qureshi | Biomedical Engineering | Best Researcher Award

University of Nizwa | Oman

Associate Professor Muhammad Amer Qureshi is a distinguished mathematician. He holds a Ph.D. in Mathematics , an M.S. in Engineering Sciences , and an M.Sc. in Computational Mathematics . His academic career has spanned roles as Associate Professor at the University of Nizwa (Oman), Associate and Assistant Professor at KFUPM (Saudi Arabia), and earlier appointments at GIK Institute and the University of Auckland. His research interests lie in numerical methods for ordinary differential equations (including one-step and multistep integrators, symplectic schemes), computational fluid dynamics (especially nano-hybrid fluids and heat transfer modeling), and the application of symmetries in general relativity (Noether’s theorem, space–time symmetries). He has supervised numerous undergraduate and graduate research projects, secured multiple externally funded grants, and published extensively in ISI/Scopus journals. Among his honors are repeated recognition in the Top 2% of global scientists, an Excellence in Teaching Award, and merit-based scholarships for Ph.D. and MS studies. In sum, his multifaceted contributions to theory, computation, and pedagogy mark him as a leading researcher and educator dedicated to advancing mathematics and engineering science.

Profile : Google Scholar

Featured Publications

Qureshi, M. A., & Hussain, S., & Sadiq, M. A. (2021). Numerical simulations of MHD mixed convection of hybrid nanofluid flow in a horizontal channel with cavity: Impact on heat transfer and hydrodynamic forces. Case Studies in Thermal Engineering, 27, 101321.

Qureshi, M. A. (2022). Thermal capability and entropy optimization for Prandtl–Eyring hybrid nanofluid flow in solar aircraft implementation. Alexandria Engineering Journal, 61(7), 5295–5307.

Qureshi, M. A. (2020). Numerical simulation of heat transfer flow subject to MHD of Williamson nanofluid with thermal radiation. Symmetry, 13(1), 10.

Qureshi, M. A. (2021). A case study of MHD driven Prandtl–Eyring hybrid nanofluid flow over a stretching sheet with thermal jump conditions. Case Studies in Thermal Engineering, 28, 101581.

Shahzad, F., Jamshed, W., Ibrahim, R. W., Nisar, K. S., & Qureshi, M. A., et al. (2021). Comparative numerical study of thermal features analysis between Oldroyd-B copper and molybdenum disulfide nanoparticles in engine-oil-based nanofluids flow. Coatings, 11(10), 1196.