Journal of Integrated Science, AI and Engineering (JISAE) is a peer-reviewed, multidisciplinary international journal dedicated to advancing innovative research at the intersection of science, artificial intelligence, and engineering. The journal provides a high-quality scholarly platform for researchers, academicians, industry professionals, and policymakers to publish original research articles, review papers, case studies, and technical communications that address emerging challenges and transformative technologies.
JISAE emphasizes integrative and cross-disciplinary research that bridges fundamental scientific discoveries with practical engineering solutions powered by intelligent systems. The journal welcomes contributions in areas including Artificial Intelligence and Machine Learning, Data Science, Computational Modeling, Smart Systems, Robotics, IoT, Cybersecurity, Sustainable Engineering, Biomedical Technologies, Advanced Materials, and Digital Transformation.
With a rigorous double-blind peer review process and a strong commitment to research integrity, innovation, and global collaboration, the Journal of Integrated Science, AI and Engineering aims to foster impactful knowledge dissemination and support technological advancements that contribute to sustainable and intelligent development worldwide.
Current Issue
Vol. 1 No. 2 (2025): Journal of Integrated Science, AI and Engineering
Welcome to the Journal of Integrated Science, AI and Engineering (JISAE). As we launch this publication, our mission is to act as a vital nexus for cross-disciplinary advancement, bridging the gap between theoretical scientific discovery, computational intelligence, and practical engineering solutions.
Focus of the Inaugural Issue: This inaugural volume establishes our commitment to high-impact, peer-reviewed research. We explore the convergence of traditional scientific rigor with modern, AI-driven methodologies, showcasing how these fields no longer function in isolation but as a unified ecosystem of innovation.
Key themes explored in this issue include:
AI-Accelerated Discovery: Novel applications of machine learning models to solve complex scientific data challenges.
Engineered Intelligence: The integration of AI into physical systems, robotics, and smart infrastructure.
Synthesized Methodologies: Case studies demonstrating how engineering constraints and scientific theory intersect with algorithmic optimization to drive real-world progress.
By fostering a collaborative environment, JISAE aims to provide a platform for researchers, engineers, and scientists to share groundbreaking work that defines the future of technology.
Published: 2025-12-31