International peer-reviewed journal
Advancing Intelligent Methods
for Real-World Systems
Connecting advances in machine intelligence with the systems, decisions, and applications that shape our world.
From intelligent methods
to meaningful applications.
OUR PURPOSE
JMIAS brings together research on machine intelligence and its application to complex, real-world systems. An initiative of the Institute for Engineering and Scientific Advancement (IESA), the journal is building its inaugural editorial and reviewer community.
Read our aims & scopeRESEARCH DIRECTIONS
Six connected areas.
One focus on real-world systems.
Learning algorithms, predictive models, deep learning, and intelligent reasoning.
Adaptive systems, robotics, control, and intelligent process automation.
Data-driven discovery, optimization, forecasting, and informed decision-making.
Computer vision, natural language processing, and multimodal intelligence.
Intelligent IoT, cyber-physical systems, edge computing, and sensor applications.
Explainability, reliability, ethical design, and human–AI interaction.
OPEN EXPRESSIONS OF INTEREST
Building the inaugural
JMIAS editorial community.
We welcome expressions of interest from researchers with relevant expertise who would like to help shape the journal's direction, standards, and scholarly community.
Express interest as an editorShare your subject knowledge and contribute thoughtful, constructive assessment of research in machine intelligence and applied systems.
Express interest as a reviewerTell us about your research interests and include a short CV or a link to your ORCID or professional profile. View the details →
JOURNAL CONTENT
JMIAS is currently recruiting editors and reviewers. Manuscript submissions are not yet open. Publication policies and the inaugural call for papers will be announced when ready.
THE EDITORIAL VISION
A focus on journal scope, originality, research quality, and manuscript readiness.
Thoughtful evaluation of methods, evidence, clarity, and the contribution to the field.
Constructive feedback and editorial judgment to support a rigorous research record.
The review model and detailed procedures will be finalized with the incoming editorial team.