Muhammad Naeem Aslam

Muhammad Naeem Aslam

Lecturer

Education

  • PhD Applied Mathematics (Artificial Intelligence), Pakistan Institute of Engineering & Applied Sciences (PIEAS), Islamabad (2023)
  • MS Mathematics , FAST University, Lahore (2019)
  • MS(Mathematics), National University of Computer and Emerging Sciences (FAST University), La (2019)
  • BS(Mathematics), University of Sargodha, Sargodha (2017)

Publications

  • Neuro-computing solution for Lorenz differential equations through artificial neural networks integrated with PSO-NNA hybrid meta-heuristic algorithms: a comparative study
    Journal Name: Scientific Reports
    Year of Publication: 2024
  • Thermal and mass exchange in a multiphase peristaltic flow with electric-debye-layer effects and chemical reactions using machine learning
    Journal Name: Case Studies in Thermal Engineering
    Year of Publication: 2024
  • A machine learning investigation of the ZnO–water nanofluid flow with magnetic field through convergent and divergent channels: a numerical study
    Journal Name: International Journal of Ambient Energy
    Year of Publication: 2024
  • Analysis of incompressible viscous fluid flow in convergent and divergent channels with a hybrid meta-heuristic optimization techniques in ANN: An intelligent approach
    Journal Name: Journal of Central South University
    Year of Publication: 2024
  • Machine learning intelligent based hydromagnetic thermal transport under Soret and Dufour effects in convergent/divergent channels: a hybrid evolutionary numerical algorithm
    Journal Name: Scientific Reports
    Year of Publication: 2023
  • An ANN-PSO approach for mixed convection flow in an inclined tube with ciliary motion of Jeffrey six constant fluid
    Journal Name: Case Studies in Thermal Engineering
    Year of Publication: 2023
  • Machine Learning Analysis of Heat Transfer and Electroosmotic Effects on Multiphase Wavy Flow: A Numerical Approach
    Journal Name: International Journal of Numerical Methods for Heat and Fluid Flow
    Year of Publication: 2023
  • Sediment load forecasting of Gobindsagar reservoir using machine learning techniques
    Journal Name: Frontiers in Earth Science
    Volume # 10Year of Publication: 2022