Computer Science and Software
Software systems, computer science, computing, networks, and cyber systems.
Engineering and Technology
SAER JOURNAL / FIELD OF SCIENCE
Engineering and Technology
Engineering and Technology is one of the priority publication fields of SAER Journal. The journal welcomes original, innovative, and methodologically rigorous studies in engineering sciences, information technologies, artificial intelligence, data science, robotics, automation, and digital transformation.
01
Major Areas Within the Scope
Engineering and Technology encompasses basic, applied, and technological research conducted across the disciplines listed below and related fields. The list is not exhaustive.
Artificial Intelligence and Data
Machine learning, data science, artificial intelligence, decision support, and intelligent systems.
Engineering Systems
Electrical and electronic, mechanical, civil, industrial, and systems engineering.
Robotics and Digital Transformation
Robotics, automation, the Internet of Things, digitalization, and smart manufacturing.
Computer engineering
Software engineering
Electrical and electronic engineering
Mechanical engineering
Civil engineering
Industrial engineering
Environmental engineering
Biomedical engineering
Artificial intelligence
Data science
Robotics
Automation
Internet of Things
Cybersecurity
Energy systems
Materials engineering
Digital transformation
Other related engineering and technology fields
02
Research Topics
SAER Journal is not limited to a single technology, application, or engineering discipline within the field of Engineering and Technology.
- Artificial intelligence and machine learning
- Big data and data analytics
- Intelligent systems and decision support
- Robotics and autonomous systems
- Industry 4.0 and smart manufacturing
- Cybersecurity and information security
- Energy efficiency and renewable energy
- Smart cities and infrastructure systems
- Software development and quality
- Sensors, embedded systems, and IoT
- Biomedical devices and health technologies
- Sustainable engineering solutions
03
Research Approaches
Experimental, computational, analytical, and applied methodological approaches appropriate to the research problem may be considered.
- Experimental engineering research
- Computational modelling and simulation
- Algorithm development and performance analysis
- Prototype and system development
- Optimization studies
- Data science and machine learning applications
- Control and automation research
- Comparative performance studies
- Reliability and durability analyses
- Life-cycle and sustainability analyses
- Systematic reviews
- Theoretical and methodological studies
04
Interdisciplinary Research
Studies at the intersection of engineering and technology with health, environment, agriculture, education, social sciences, and sustainability are within the scope of SAER Journal.
Health technologies, artificial intelligence in education, smart cities, environmental modelling, human-machine interaction, and sustainable manufacturing are examples of such interdisciplinary areas.
05
Scientific and Ethical Expectations
Studies are expected to clearly define the technical problem, describe the methods used in sufficient detail, and evaluate findings according to verifiable scientific criteria.
Research involving human participants, personal data, artificial intelligence applications, security issues, or environmental impacts must comply with applicable ethical, legal, and data protection requirements.
Methods, data, code, and experimental procedures are encouraged to be presented with a level of transparency that is appropriate to the nature of the research and supports independent evaluation and reproducibility.
