دکتر رضایی نور، سردبیر و مدیرمسئول نشریه:
مدیریت مهندسی و رایانش نرم (فصلنامه فنی مهندسی به زبان انگلیسی)
Journal of Engineering Management and Soft Compuing
سایت اختصاصی نشریه:
https://jemsc.qom.ac.ir
The Journal of Engineering Management and Soft Computing (JEMSC) is a prominent scientific publication dedicated to advancing research in the fields of industrial engineering and soft computing. JEMSC serves as a platform for disseminating high-quality scientific studies that encompass various methodologies, including fuzzy logic, artificial intelligence, machine learning, deep learning, and meta-heuristic algorithms. Published quarterly by the University of Qom, JEMSC aims to bridge the gap between theoretical research and practical applications within engineering management. The journal not only focuses on innovative soft computing techniques but also emphasizes their integration into industrial processes, thereby enhancing decision-making and operational efficiency. JEMSC employs a rigorous peer-review process to ensure the quality and relevance of its published articles. Each submission undergoes evaluation by experts in the field, guaranteeing that only significant contributions to the discipline are shared with the academic community. With its commitment to open access, JEMSC provides free access to its articles, fostering a collaborative environment for researchers and practitioners alike. It is an interdisciplinary journal devoted to the publication of original articles, review articles, etc., considering the research ethics and academic rules and regulations.
The Journal of Engineering Management and Soft Computing (JEMSC) is committed to publishing cutting-edge, innovative, original, and timely research on industrial engineering, soft computing, and artificial intelligence. Authors are encouraged to submit original research and review manuscripts that are not under consideration for publication elsewhere to the Journal for review. The journal aims to publish research and review papers on the most recent issues and developments in the field. All papers are subject to a double-blind reviewing process.
دکتر رضایی نور، سردبیر نشریه:
مجله تحلیل دادهها و تصمیمگیری هوشمند (JDAID)
Journal of data analytics and intelligent Decision-Making (JDAID)
سایت اختصاصی نشریه:
https://jdaid.qom.ac.ir
The Journal of Data Analytics and Intelligent Decision-Making (JDAID) is an international, interdisciplinary, peer-reviewed, open-access publication with a distinguished reputation in business research and global scholarly impact, published by the University of Qom and scientifically sponsored by the Iranian Scientific Association of Knowledge Management (ISAKM). Dedicated to advancing the foundational field of data analytics alongside the theories, methods, and applications of intelligent decision-making, its core mission is to synthesize artificial intelligence (AI), machine learning, data analytics, and decision theory with human cognitive and affective dimensions, thereby fostering innovation in intelligent decision-making systems.
JDAID serves as a global platform for researchers, practitioners, and policymakers to exchange innovative methodologies, empirical research, and case studies that enhance data-driven decision-making across various sectors. By combining theoretical insights with practical applications, the journal fosters research that improves decision-making in complex, uncertain, and dynamic environments. With a strong emphasis on both foundational research and applied innovations, JDAID aims to bridge the gap across diverse disciplines, including the behavioral and social sciences, cognitive science, management science, operations research, statistics, applied mathematics, and computer science and artificial intelligence. The journal publishes scholarly research, theory, and developmental applications that address various facets of decision-making and intelligent systems. It supports interdisciplinary collaboration among data scientists, statisticians, mathematicians, business strategists, managers, policymakers, and experts in decision-making, computer science, and AI. This collaboration is focused on expanding the frontiers of knowledge, solving human problems, and driving meaningful progress in fields such as business, healthcare, engineering, public policy, and finance. The journal aims to publish research and review papers on the most recent issues and developments in the field. All papers are subject to a double-blind reviewing process.