Mubashir Qayyum
National University of Computer and Emerging Sciences - Lahore Campus, National University of Computer and Emergin Sciences
Research areas: Mathematics · Modeling and Simulation · Fractional Differential Equations Solutions · Fuzzy Systems and Optimization · Fluid dynamics and aerodynamics studies
0000-0002-6701-5640
About
Dr. Mubashir Qayyum has more than 22 years of teaching and research experience. Currently, he holds the position of Professor and head of Sciences and Humanities department at National University of Computer & Emerging Sciences - FAST Lahore campus. He is also head of MathX research lab. Dr. Mubashir’s primary research interests cover numerical and soft computing, fluid dynamics, modeling and simulation of fractional, fuzzy, and stochastic differential equations. Dr. Mubashir has contributed significantly to the academic community by publishing his research in esteemed international journals and conferences. Furthermore, he actively engages in academic editorial responsibilities and serves as technical reviewer for a number of international journals.
Employment
-
National University of Computer and Emerging Sciences - Lahore Campus Professor2022 - Present
-
National University of Computer and Emergin Sciences Associate Professor2009 - 2022
Education
Education history is unavailable.
Projects & Funding
-
Modeling and Analysis of Nano-fluids with special reference to Blood Flows National University of Computer and Emerging Sciences2023 - 2024
Publications (114)
- Analysis of Tumor‐Immune Dynamics With T Cells and Dendritic Cells Using Fractional Extension of He‐Laplace Framework Save
- Enhanced Electromagnetic Cooling using Ethylene Glycol‐Based Sutterby Tri‐Hybrid Nanofluid Over a Riga Plate Save
- Magnetically Controlled Mixed Convection Nanofluid Flow With Slip and Suction: Implications for Thermal System Design Save
- Modeling and analysis of fuzzy-fractional 4D chaotic system for secure voice communication using residual neural networks Save
- Thermal and Bioconvective Modeling and Analysis of Unsteady Cu‐Water Nanofluid Flow through Porous Media with Gyrotactic Microorganisms Save
- Modeling and Analysis of Nonlinear Radiative and Electromagnetic Effects With Second‐Order Slip in Unsteady Hybrid Nanofluid Flow Past a Porous Stretching Surface Save
- Data-driven neural modeling and chaos control in fractional-order financial dynamical systems Save
- Fuzzy-fractional modeling of cholera transmission via water reservoirs and asymptomatic carriers: Analysis using WHO data Save
- Fuzzy‐Fractional Modeling and Analysis of Tobacco Smoking Dynamics via He–Laplace–Carson Framework Save
- Modeling and Complexity Analysis of Fuzzy‐Fractional Chaotic Systems Using Deep Neural Networks Save
- Fuzzy fractional modeling and analysis of stochastic Fokker Planck equations under uncertainty and memory effects Save
- Computational modeling of sociolinguistic dynamics: tracing language evolution and preservation in monolingual and bilingual communities Save
- Gaussian-caputo modeling and analysis of sudan virus disease using real outbreak data of uganda: an extended residual power series approach Save
- Modeling Marburg virus transmission in fuzzy-fractional framework using real epidemiological data of World Health Organization Save
- Neural approximation of fuzzified chaotic systems via auto-regressive multi-layer perceptrons Save
- Fractional modeling and analysis of heat and mass transfer in nanofluid via He–Laplace framework Save
- Fuzzy-fractional modeling and analysis of gas dynamics via extended He-Laplace-Carson algorithm Save
- Analysis of Fuzzy‐Fractional Fornberg–Whitham Models Using Extended He‐Laplace Methodology Save
- A hybrid computational framework for fractional cancer diffusion models in uncertain settings Save
- AI-powered prediction of hybrid nanofluid dynamics over a cylinder via LM optimized neural network approach Save