News Release

Fundamentals of Computational Methods for Engineers

Book Announcement

Bentham Science Publishers

The book Fundamentals of Computational Methods for Engineers introduces readers to key concepts in engineering such as error analysis, algorithms, applied mathematics with the goal of giving an understanding of how to solve engineering problems using computational methods. Each of the featured topics is explained with sufficient detail while retaining the usual introductory nuance. This blend of beginner-friendly and applied information, along with reference listings makes the textbook useful to students of undergraduate and introductory graduate courses in mathematics and engineering. The book exposes these topics in sufficient detail while retaining the usual introductory topics in numerical methods, which makes it useful textbook for both undergraduate and introductory graduate courses in computational methods.


Audience: Students of mathematics and engineering; Apprentices and trainees in engineering firms; Engineering faculty at school and college levels.


About the Editors:

Prof. Dr Xu received Ph.D. degree from Institute of Electrical Engineering, Chinese Academy of Sciences (IEECAS), in 2008 and from 2008 to 2011, he had been one Postdoctoral Research Fellow with the School of Electrical, Mechanical and Mechatronic Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney (UTS), Australia. From 2011 to 2013, Dr Xu had been appointed as one Royal Melbourne Institute of Technology (RMIT) University Vice Chancellor Research Fellow with School of Electrical and Computer Engineering in RMIT University. His research topics focus on electromagnetic design and control algorithm analysis of new structure permanent magnet synchronous machine (PMSM) drive systems for the PHEV and wind generation, and induction machine for transportation.

Dr. Xu has published about 40 IEEE Transactions papers and held 22 Chinese invention patents, and has one book in writing (Springer Press) in the field of electrical machine and power electronics. As the 1st chief investigator (CI), he has been awarded 14 projects/fellowships. Particularly, he received two grants as the 1st CI from the National Natural Science Foundation of China (NSFC) in 2014. He was awarded the China Youth 1000 Talent Scheme in 2015.

MD Masud Rana (M’18) received a Ph.D. from the University of Technology Sydney (UTS), Sydney, Australia, in 2013. He joined as a lecturer at the Department of Electrical and Electronic Engineering at RUET, Bangladesh, in 2006, and currently serving as a professor.

Dr. Rana is a member of IEEE as well as the Institute of Engineers, Bangladesh (IEB). He has authored and coauthored over 70 journal and conference papers. His research interests include computational electromagnetics, modeling of the biosensor, computational methods for microwave device modeling, EM propagation modeling, and antenna modeling & designing. Dr. Rana awards and honors include the University Gold Medal (2007), Bangladesh, IPRS & UTS President Scholarship (2009), Australia, ACMI 2021 Best Paper Award, VPCICT 2020 Best Project Award, ICEEE 2015 Best Paper Award.


Youguang Guo is a Professor of Electrical Machines and Drives at the School of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney (UTS). He received PhD degree from UTS, Australia in 2004. Since August 2008, he has been an academic with the Faculty of Engineering and Information Technology, UTS. His research fields include advanced electrical machine design and optimization, measurement and modeling of magnetic properties of magnetic materials, multi-disciplinary analysis and system-level robust optimization of electromagnetic devices, and electric motor drives and control. In these fields he has published over 500 refereed technical papers.



Algorithm, Error, Mathematical modeling, Program, Transcendental, Non-linear, Iterative, Engineering, application, Runge-Kutta Finite difference formulae, Predictor-Corrector method, solving simultaneous first order ODEs, solving higher order ODEs.


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