2022 6th International Conference on Mechanics, Mathematics and Applied Physics (ICMMAP 2022)
A. Prof. Anum Shafiq, Nanjing University of Information Science and Technology, China


Dr. Anum Shafiq did her Master’s and PhD from Quad-I-Azam University Islamabad Pakistan during 2012-2016. During her Master’s studies, she explored the significance of “Axisymmetric flow of third great fluid between two disks’’. The results of the Master work were compiled into two manuscripts and published in Applied Mathematics and Mechanics, and Computers and Fluids. During Ph.D., Dr. Anum’s research covered Steady flows of viscoelastic fluids due to moving surface with heat transfer, which produced 25 first and co-authored publications, while collaborating with Master’s students as part of the Ph.D. dissertation work. Dr. Anum also attended North-West University, South Africa as a postdoctoral research fellow and published several ISI and SCI papers. She is also the author of one book named “Steady Flows of Differential Type Fluids: “Steady Flows of Viscoelastics Fluids Due to Moving Surface with Heat Transfer” with LAP LAMBERT Academic Publishing; and one book titled as, and one book chapter named “Impact of homogeneous heterogeneous reaction on stagnation point flow of Walters' B fluid with Newtonian heating under the statistical paradigm” in Springer Proceedings in Mathematics & Statistics. She has supervised 24 undergraduate students, 9 Masters, and one Ph.D. as co-supervisor. She is acting as an Assistant Professor at Preston University. (more)

Research Areas:

① Solutions of Nonlinear Differential equations

② Sensitivity Analysis

③ Distribution Theory

④ Applied Mathematics

⑤ Mathematical and computational methods in statistics

⑥ Computational Fluid Dynamics

Speech Title:

Modeling of Soret and Dufour's convective heat transfer in nanofluid flow through a moving needle with artificial neural network


In this study, forced convective heat and mass transfer of a nanofluid using the Buongiorno model and moving radially through a thin needle has been analyzed using the Runge - Kutta fourth order technique and the shooting approach. In order to analyze the thermo-diffusion and diffusion-thermo effects on the flow, Dufour and Soret effects have been investigated and the mass transport phenomenon has also been investigated by activation energy. Partial differential systems of the flow model have been obtained with the boundary layer approach and modified by using the appropriate transformations to be connected to nonlinear ordinary differential systems. Using the RK-4 strategy with a shooting strategy, a data set has been created for different flow scenarios, and using this data set, an artificial neural network model has been developed to predict skin friction coefficient, Sherwood number and Nusselt number values. 70% of the data used in ANN models developed with different numbers of datasets have been used for training, 15% for validation and 15% for testing. The results show that ANN models can predict skin friction coefficient, Sherwood number and Nusselt number values with error rates of -0.33%, 0.08% and 0.03% respectively.