Explore the scientific, engineering, computational and interdisciplinary areas currently covered by EJSIR journals. Each research-area page explains suitable research directions, scope fit, example topics and manuscript guidance.
These categories help authors quickly understand where their work may fit. The short bullet points are examples rather than an exhaustive list; detailed scope guidance is available on each area page.
Research on intelligent computational methods that produce a clear scientific, engineering, or interdisciplinary contribution. The journal welcomes methodological advances as well as rigorous applications where AI or data science is central to the research question rather than used only as a routine tool.
Research covering computational methods, software systems, information systems, and digital platforms where the work advances theory, methods, architecture, reliability, security, performance, or scientific use.
Research on communication, networking, sensing, connectivity, and information transmission technologies, especially where communication systems interact with intelligent, embedded, cyber-physical, or scientific applications.
Research in mechanical systems, manufacturing, industrial engineering, design, thermal-fluid science, optimization, and intelligent production, with emphasis on rigorous modelling, experimentation, computation, or technology innovation.
Research on electrical and electronic systems, control, instrumentation, sensing, embedded platforms, power electronics, and intelligent integrated systems.
Research on robots, automated systems, autonomous agents, UAVs, intelligent machines, and cyber-physical autonomy across industrial, environmental, agricultural, assistive, and scientific applications.
Technology- and engineering-focused research related to health, including medical imaging, biomedical signals, biosensors, health informatics, AI-assisted diagnostic technologies, medical devices, and computational health. This area is not a general clinical medicine section.
Research using remote sensing, GIS, geospatial data, Earth observation, UAVs, and computational methods to understand environmental processes, natural hazards, land-surface dynamics, and disaster risk.
Research addressing environmental systems, climate processes, pollution, resource efficiency, sustainability, environmental sensing, modelling, and data-driven solutions to environmental challenges.
Research on energy conversion, storage, smart energy systems, materials, nanomaterials, sustainable materials, and integrated technologies that advance efficiency, performance, durability, or environmental sustainability.
Research on connected infrastructure, Internet of Things, digital twins, urban intelligence, intelligent transport, resilient infrastructure, and cyber-physical systems that integrate sensing, computation, communication, and physical processes.
Technology-focused research in precision agriculture, smart farming, agricultural robotics, sensing, remote sensing, AI, food engineering, post-harvest systems, and digital agri-food technologies.
Research combining biological questions with computational, data-driven, engineering, or biotechnology methods, including genomics, systems biology, biological data science, biomaterials, and computational life science.
Research on quantum computing, advanced computation, high-performance computing, scientific simulation, novel computing architectures, and emerging technologies with a rigorous scientific or engineering foundation.
Quantitative and technology-centered research at the intersection of innovation, operations, digital transformation, analytics, supply chains, fintech, platforms, and technology economics. This is not a general business or management section.