Journals
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Journal of Information Analytics
Journal of Information Analytics is peer-reviewed open access online journal that provides a medium of the rapid publication of original research papers, review articles, book reviews and short communications covering all areas of machine learning and artificial Intelligence. The journal publishes state-of-the-art research reports and critical evaluations of applications, techniques and algorithms in Engineering Management, Cloud Systems, Electrical Engineering, Industrial Networks and Intelligent Systems, Mechanical Civil and Chemiical Engineering, Internet of Things, Mathematical Modeling, Robotics Research, Engineering informatics, Computer Science, Computer Hardware/Software, Robotics and application, Embedded Systems, Database Management & Information Retrievals, Geographical Information Systems/ Global Navigation Satellite Systems, Fuzzy Systems, Web and Internet computing, Machine learning, Artificial intelligence, Cognitive science, Software engineering, Database systems, Soft computing, Optimization and modelling and related application areas.
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Journal of Safety Analytics
Journal of Safety Analytics (JOSA) is an international, peer-reviewed, open-access journal dedicated to advancing the theory and practice of safety science through analytical and decision-based approaches.
Published under the umbrella of our research group (www.optimresearch.com), JOSA aims to serve as a leading platform for researchers, practitioners, and policymakers working at the intersection of safety, risk management, and data-driven decision-making.
Call for Papers | Journal of Safety Analytics (JOSA) — Inaugural Issue
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Journal of Digital Health and Technology
Journal of Digital Health & Technology (JDHT) is an international, peer-reviewed academic journal dedicated to advancing research at the intersection of healthcare, data science, and emerging digital technologies.
The journal promotes innovative, interdisciplinary studies that enhance healthcare delivery, efficiency, and patient outcomes through technology-driven solutions.
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Journal of Multi-Criteria Decision-Making: Theory and Applications
Journal of Multi-Criteria Decision-Making: Theory and Applications (JMCDMTA) is a premier, international peer-reviewed journal dedicated to the latest advancements in the multi-disciplinary field of decision science. As complexity and data volume grow in modern systems, the need for robust, transparent, and mathematically sound decision-making tools has never been greater. JMCDMTA serves as a vital bridge between rigorous theoretical research and high-impact practical applications. The journal publishes original research that addresses the challenges of choosing, ranking, and sorting alternatives in the presence of multiple, often conflicting, criteria. We provide a unique home for research that integrates classical MCDM methods such as AHP, TOPSIS, and PROMETHEE with cutting-edge computational intelligence, including Spherical and Neutrosophic fuzzy logic, Machine Learning, and Explainable AI (XAI). Key features:
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Interdisciplinary breadth: We welcome applications across diverse sectors, including sustainable logistics, healthcare resource allocation, Industry 5.0, and ESG (Environmental, Social, and Governance) risk management.
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Methodological innovation: We prioritize papers that introduce new operators, hybrid algorithms, and frameworks for large-scale group decision-making.
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Theory to practice: Every theoretical contribution is encouraged to demonstrate its utility through real-world case studies or robust numerical experiments.
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Open science commitment: JMCDMTA supports the democratization of decision science by encouraging the submission of open-source software tools and reproducible research.
With a commitment to rapid but rigorous peer review, JMCDMTA aims to be the leading resource for scholars, engineers, and policy analysts seeking to transform complex data into optimal, actionable decisions.
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