The Advanced Journal of Science and Innovation (AJSI) is an international, peer-reviewed, open-access journal dedicated to advancing rigorous, original, and impactful research across science, engineering, business and management, and artificial intelligence. The journal provides an interdisciplinary platform for work that develops new knowledge, methods, technologies, models, and evidence-based solutions to contemporary scientific, industrial, organisational, societal, and policy challenges.

AJSI particularly values research that demonstrates clear theoretical advancement, methodological rigour, practical relevance, and meaningful innovation. The journal encourages studies that connect business and management perspectives with engineering knowledge and artificial intelligence to address complex real-world problems, while supporting sustainable development, responsible innovation, digital transformation, productivity, resilience, and inclusive technological progress.

Aims

AJSI seeks to:
- Encourage the advancement of research and innovation worldwide.
- Promote the dissemination of original, ethical, and high-impact research.
- Support collaboration among researchers from different academic and professional backgrounds.
- Provide open and accessible scholarly communication for the global research community.
- Maintain a rigorous peer-review process to ensure publication quality and integrity.
- Contribute to academic, scientific, technological, and social development through research publications.

Scope

AJSI welcomes high-quality original research and scholarly contributions in, but not limited to, the following areas:

Science and Technology

- Computer science and information technology.
- Artificial intelligence and data science.
- Data analytics, intelligent systems, and machine learning.
- Deep learning, natural language processing, computer vision, and generative AI.
- Knowledge representation, decision-support systems, predictive modelling, and optimisation.
- Responsible, trustworthy, and explainable AI.
- AI applications in business, industry, engineering, education, healthcare, public services, and society.
- Environmental science and renewable energy.

Engineering and Applied Sciences

- Civil, mechanical, electrical, and electronic engineering.
- Software engineering and network systems.
- Industrial and manufacturing engineering.
- Materials and metallurgical engineering.
- Energy engineering and power systems.
- Computer engineering, architectural engineering, systems engineering, and engineering management.
- Engineering design, infrastructure and construction, modelling and simulation, mechanics, thermodynamics, fluid mechanics, communications, control systems, robotics, automation, manufacturing, quality engineering, safety, reliability, and sustainability.
- Engineering applications addressing industrial, environmental, infrastructure, and societal challenges.

Business and Management

- Strategic management, entrepreneurship, innovation, and technology management.
- Organisational behaviour, human resource management, and project management.
- Operations management, supply chain management, and business analytics.
- Digital transformation, finance, accounting, marketing, and international business.
- Corporate governance, sustainability, public management, nonprofit management, and organisational performance.
- Business models, innovation ecosystems, technology entrepreneurship, and data-driven operations.

Social Sciences and Education

- Education and e-learning.
- Political science and international relations.
- Communication and media studies.

Artificial Intelligence

AJSI places a strong emphasis on artificial intelligence as a core area of interest. The journal welcomes high-quality research on machine learning, deep learning, natural language processing, computer vision, generative AI, intelligent systems, knowledge representation, predictive analytics, decision-support systems, autonomous systems, robotics, and optimisation. It also encourages studies on responsible, trustworthy, explainable, and ethical AI, as well as AI governance, AI integration, and AI applications across business, engineering, education, healthcare, public administration, and society.

Interdisciplinary Research

AJSI encourages integrative research across its core disciplines, including AI-enabled engineering, smart manufacturing, Industry 4.0, sustainable and intelligent infrastructure, digital business models, engineering management, technology entrepreneurship, data-driven operations, intelligent decision-making, innovation ecosystems, and responsible deployment of emerging technologies. The journal welcomes empirical, theoretical, methodological, computational, design-oriented, and applied studies that present a clear research question, employ appropriate and rigorous methods, and demonstrate relevance to the journal’s interdisciplinary mission.

Article Types

AJSI considers the following manuscript types:
- Original research articles.
- Review papers and systematic reviews.
- Meta-analyses.
- Methodological papers.
- Theoretical and conceptual papers.
- Empirical studies.
- Case studies.
- Technical notes and technical reports.
- Short communications.

Publication Policy

All submitted manuscripts are subject to editorial screening and peer review to ensure academic quality, originality, relevance, and methodological rigour. AJSI follows ethical publication practices and encourages responsible research and citation standards. The journal does not normally consider manuscripts that fall outside its interdisciplinary focus, lack a clear scholarly contribution, are solely descriptive without adequate analysis, or do not demonstrate sufficient methodological rigour.