July 08, 2019
Engineering problems arising in energy, environment, materials and healthcare are featured by enormous scale and complexity, which have posed challenges and provided opportunities for the development of advanced mathematical tools to ensure sound decision making. For example, with the breakthrough of computational power over the last few decades, modelling and numerical linear algebra have been intensely utilized and developed to simulate various engineering processes. More recently, data sciences and machine learning emerge in a diverse collection of engineering fields.
The intention towards this Special Issue is to bring together recent progresses and innovations involved in mathematics applied in complex engineering problems, which include, but are not limited to, modelling and simulation, computations, analysis, control, optimization, data science, and machine learning.
Keywords: mathematical models, Fourier transform, DFT, FFT, and Complex Differential Fourier transform.
Lead Guest Editor
Dr YUVARAJA TEEKARAMAN,
School of Electrical Engineering and Computer Science
Gwangju Institute of Science and Technology
Gwangju City, South Korea – 61005
(Dr.) Said Khelifa
Oran University of Sciences and Technology Mohamed Boudiaf, EI Mnaouar,
BP 1505, Bir EI Djir 31000, Algeria.