Springer Towards Intelligent Systems Modeling and Simulation: With Applications to Energy, Epidemiology and Risk Assessment: 383 (Studies in Systems, Decision and Control, 383)

Product Description This book creates the emergence of disruptive technologies that have led to a significant change in the role of mathematics and statistics for problem solving, with the use of sophisticated software and hardware in solving complex systems and process. In the era of digital technology, mathematics and statistics need to be highly relevant to be able to cater for the needs of IR4.0 such as big data analytics, simulation, autonomous system, and cloud computing. Motivated by this development, a total of 26 chapters are contributed by respectable experts for this book. The main scope of the book is to conduct a new system of modeling and simulations on solving differential equations, nonlinear equations, energy, epidemiology, and risk assessment. This book is of interest for postgraduate students, researchers as well as other scientists who are working in numerical modeling and simulations based on efficient mathematical and statistical techniques. From the Back Cover This book creates the emergence of disruptive technologies that have led to a significant change in the role of mathematics and statistics for problem solving, with the use of sophisticated software and hardware in solving complex systems and process. In the era of digital technology, mathematics and statistics need to be highly relevant to be able to cater for the needs of IR4.0 such as big data analytics, simulation, autonomous system, and cloud computing. Motivated by this development, a total of 26 chapters are contributed by respectable experts for this book. The main scope of the book is to conduct a new system of modeling and simulations on solving differential equations, nonlinear equations, energy, epidemiology, and risk assessment. This book is of interest for postgraduate students, researchers as well as other scientists who are working in numerical modeling and simulations based on efficient mathematical and statistical techniques. About the Author Samsul Ariffin Abdul Karim  is a senior lecturer at Fundamental and Applied Sciences Department, Universiti Teknologi PETRONAS (UTP), Malaysia. He has been at the department for more than twelve years. He obtained his B.App.Sc., M.Sc. and PhD in Computational Mathematics & Computer Aided Geometric Design (CAGD) from Universiti Sains Malaysia (USM). He is a Professional Technologists registered with Malaysia Board of Technologists (MBOT). He had 20 years of experience using Mathematica and MATLAB software for teaching and research activities. His research interests include curves and surfaces designing, geometric modeling and wavelets applications in image compression and statistics. He has published more than 140 papers in Journal and Conferences as well as eight books including two research monographs and three Edited Conferences Volume and 40 book chapters. He was the recipient of Effective Education Delivery Award and Publication Award (Journal & Conference Paper), UTP Quality Day 2010, 2011 and 2012 respectively. He was Certified WOLFRAM Technology Associate, Mathematica Student Level. He has published six books with Springer. Dr Afza Shafie is currently a Senior Lecturer with the Fundamental and Applied Science Department (FASD) at Univerisiti Teknologi PETRONAS. She holds a Bachelor and a Master degree in mathematics and statistics respectively. In addition she has a PhD in Systems Technology. Her interest is in mathematical and statistical modeling. Her research includes the application of these knowledge in the field of electromagmetics for hydrocarbon detection in Malaysian waters, application of electromagnetic and nanofluids in enhanced oil recovery.  Some of her research has been funded by Petroleum Research Fund (PRF), Yayasan – UTP grant, the Prototype Research Grant (PRGS) and the Fundamental Research Grant (FRGS) from the Ministry of Education Malaysia. In addition, she is actively involved with the University  initiatives to promote STEM to t