The Academic Journal on Computing, Engineering and Applied Mathematics aim to provide a communication and dissemination channel for academic work in the fields of Computer Science, Engineering and Applied Mathematics, focusing on elementary research. Given the need for the dissemination of new research aimed at the fundamental branches of computer-centric science. To the point that in technology comes only with the development of solid and widely tried scientific methods. Thus, the Academic Journal on Computing, Engineering and Applied Mathematics aim to foster scientific research in Computer Science, Engineering and Applied Mathematics in its nature and its various specificities complement each other.

Scientific papers will be accepted in the following modalities: Research Paper and Brief Communication. Research Paper - material based on an original and unclear scientific hypothesis, which is validated or not through experimental or theoretical models, based on the scientific method, with adequate statistical planning and discussion with scientific argument (minimum of five and maximum of ten pages); Brief Communication - short and / or fast communication of research results (minimum of three and maximum of four pages). In this direction, the Academic Journal on Computing, Engineering and Applied Mathematics will accept original, streaming contributions in the following areas of interest:

- Printed circuit boards;
- Communication hardware, interfaces and storage;
- Integrated circuits;
- Very large scale integration design;
- Power and energy;
- Electronic design automation;
- Hardware validation;
- Hardware test;
- Emerging technologies;
- Architectures;
- Embedded and cyber-physical systems;
- Real-time systems;
- Dependable and fault-tolerant systems and networks;
- Network architectures;
- Network protocols;
- Network components;
- Network algorithms;
- Network performance evaluation;
- Network properties;
- Network services;
- Network types;
- Models of computation;
- Formal languages and automata theory;
- Computational complexity and cryptography;
- Design and analysis of algorithms;
- Randomness, geometry and discrete structures;
- Theory and algorithms for application domains;
- Semantics and reasoning;
- Discrete mathematics;
- Probability and statistics;
- Mathematical software;
- Information theory;
- Mathematical analysis;
- Continuous mathematics;
- Symbolic and algebraic manipulation;
- Parallel computing methodologies;
- Artificial intelligence;
- Machine learning;
- Modeling and simulation;
- Computer graphics;
- Distributed computing methodologies;
- Concurrent computing methodologies.