About Us

The Journal of Knowledge Processing in Engineering Applications (JKPEA) serves as a platform for scientists, researchers, engineers, and academicians to exchange their thoughts and research in engineering and technology. JKPEA is a prestigious double-blind peer-reviewed journal. JKPEA is a multidisciplinary research journal that provides a platform for researchers to publish their findings and for readers to obtain the newest developments in Engineering Applications. The objective of the JKPEA is to enhance comprehension between the community of scholars and practitioners in academia and industry. The objective of JKPEA is to assist professionals, educators, and policymakers in contributing to, disseminating knowledge, and learning from one another's endeavors. JKPEA aims to provide a platform for the dissemination of original research on advanced engineering paradigms for the development of intelligent systems in scientific applications.

JKPEA aims to foster a deeper understanding of how knowledge processing and AI can mutually benefit and enhance each other. The journal welcomes original contributions such as refereed research articles, review papers, case studies, survey articles, and technical notes that contribute to the advancement of knowledge processing in engineering applications. Submissions undergo a rigorous peer-review process to ensure the quality, relevance, and validity of the published work. Articles published in JKPEA must meet the highest quality standards, as measured by originality and significance of the contribution, and the clarity of exposition. Papers should describe work that has knowledge, practical and theoretical significance.

JKPEA seeks to address challenges and explore opportunities in leveraging technologies to enhance knowledge creation, storage, retrieval, sharing, and utilization. There are two complementary orientations which this platform calls for. First knowledge processing, which is directly concerned with processing knowledge in organizations, and second engineering applications which focus on developing systems that can impersonate human knowledge and learning activities. JKPEA therefore encourages the exploration of innovative approaches, methodologies, and tools that can facilitate effective knowledge processing and management processes in various domains and industries.