International Journal of Engineering Mathematics and Computer Sciences aims to publish high-quality papers with a specific focus on teaching and learning within the Engineering, Mathematics and Computer Sciences discipline that are accessible and of interest to educators, researchers, and practitioners alike.

Depending on their special interests, those working in the field may draw on subject areas as diverse as statistics, educational theory and the cognitive sciences in addition to technical computing knowledge.

Papers may present work at different scales, from classroom-based empirical studies through evaluative comparisons of pedagogic approaches across institutions or countries and of different types from the practical to the theoretical.

The journal is not dedicated to any single research orientation. Studies based on qualitative data, such as case studies, historical analysis and theoretical, analytical or philosophical material, are equally highly regarded as studies based on quantitative data and experimental methods.

It is expected that all papers should inform the reader of the methods and goals of the research; present and contextualize results, and draw clear conclusions.

Areas and subareas of interest include (but are not limited to):

Advanced computing techniques

Algebra and discrete mathematics

Algebraic and differential geometry

Artificial intelligence

Artificial neural networks

Automation and mobile robots

Bioinformatics

Chaos theory and control

Cloud computing

Communication engineering

Computational biology

Computational fluid dynamics

Computer science

Control devices & instruments

Control theory

Data mining

Data Structures and Algorithms

Digital image processing

Digital signal processing

Dynamical systems and stability theory

Embedded systems and control

Evolutionary techniques in engineering

Flight control and surveillance systems

Functional analysis (linear and nonlinear)

Fuzzy logic control

Genetic algorithms and applications

Industrial applications of control

Intelligent systems

Information theory

Linear and nonlinear programming

Linear control theory

Manufacturing

Materials science

Mathematical control theory

Mathematical modelling and applications

Measurement systems

Modelling and control

Nonlinear control theory

Numerical analysis and applications

Optimization and optimal control

Ordinary differential equations

Parallel computing

Partial differential equations

Process control and automation

Real-time systems

Real and complex analysis

Robust control

Scientific computing

Soft computing techniques

Statistical techniques

Stochastic modelling and control

Topology (general, algebraic and differential)

Editor in chief

Dr S Gandhi,

33, thamesvale close, Lampton road, Hounslow,

Middlesex, TW3 4D E, United Kingdom