About the Journal

The Journal of Intelligent Data Analytics and Transformation Engineering is a cutting-edge, peer-reviewed academic journal that serves as a key platform for researchers, practitioners, and thought leaders engaged in the rapidly evolving intersection of data analytics, intelligent systems, and engineering transformation. The journal is dedicated to publishing high-quality, original research focused on the application of data-driven techniques and artificial intelligence (AI) to address complex engineering challenges, fostering the evolution of intelligent engineering solutions that can drive innovation and efficiency in a variety of domains. With the increasing complexity of modern engineering systems and the vast amounts of data generated from these systems, the journal plays a crucial role in bridging the gap between data science, engineering, and applied mathematics, providing essential insights into how these disciplines can be integrated to optimize system designs, enhance operational performance, and support more sustainable and intelligent engineering practices. As industries increasingly rely on data-driven decision-making, automation, and intelligent systems to solve pressing problems such as climate change, resource optimization, urbanization, and infrastructure sustainability, JIDATE focuses on how the field of engineering can be transformed through the strategic use of machine learning (ML), deep learning, data mining, predictive analytics, and other AI-based techniques. The journal covers a broad range of engineering disciplines, including civil, mechanical, electrical, biomedical, aerospace, industrial, chemical, and environmental engineering, reflecting the vast potential of intelligent data analytics to solve multidisciplinary engineering problems and create innovative solutions. Researchers from academia, industry, and government sectors are encouraged to contribute work that reflects advancements in AI, data analytics, and their applications in engineering systems. The scope of the journal encompasses both theoretical developments and applied research in areas such as algorithmic design, optimization, smart systems, real-time data analytics, and decision support systems, all of which are crucial to the development of next-generation engineering systems that are adaptive, efficient, resilient, and capable of operating autonomously. One of the key focuses of JIDATE is the exploration of data analytics in the context of engineering design and decision-making. In this regard, the journal is particularly interested in research that demonstrates how big data analytics, machine learning models, and other AI-driven techniques can be utilized to optimize engineering designs, predict system behavior, and improve decision-making processes across various stages of product development, from concept through production and maintenance. With the advent of Industry 4.0, intelligent manufacturing systems, and the Internet of Things (IoT), there is a significant shift toward data-driven, automated, and interconnected engineering processes. JIDATE seeks to publish research that explores how smart manufacturing systems, robotics, automated systems, and connected devices can be integrated to create more efficient, adaptive, and scalable engineering solutions. The application of machine learning and AI to real-time data monitoring and control is another critical aspect of the journal’s scope, as the ability to predict failures, optimize maintenance schedules, and monitor the health of engineering systems in real-time has the potential to revolutionize industries such as aerospace, automotive, civil infrastructure, and energy. Additionally, the journal covers the transformation of engineering practices through the use of digital twins, cyber-physical systems, and other advanced technologies that enable the creation of highly accurate simulations of physical systems for optimization and predictive maintenance. JIDATE also places a strong emphasis on sustainable engineering practices, exploring how intelligent data analytics can be used to design energy-efficient systems, reduce waste, and optimize the use of resources. Given the growing global concerns about climate change, resource depletion, and environmental degradation, the journal encourages research that leverages AI and data analytics to advance sustainable engineering solutions, such as smart grids, renewable energy systems, carbon capture technologies, and waste management strategies. Through the application of data-driven methodologies, JIDATE aims to contribute to the development of engineering systems that not only improve performance but also minimize environmental impact and promote sustainable practices. Another key aspect of the journal’s scope is its commitment to exploring the ethical, societal, and policy implications of intelligent data analytics in engineering. As AI and data analytics continue to transform industries, concerns about privacy, data security, algorithmic transparency, and fairness become increasingly important. The journal encourages research that addresses the ethical challenges associated with the application of intelligent systems in engineering, as well as the regulatory, legal, and societal impacts of these technologies. This includes studies on the responsible use of AI in autonomous systems, the societal implications of automation, and the need for transparent and accountable decision-making processes when applying AI to critical engineering domains such as healthcare, transportation, and infrastructure. JIDATE also welcomes papers that address the challenges of implementing AI and data analytics in developing economies, where infrastructure may be limited, and the need for innovative, low-cost solutions is paramount. Research in this area may include the use of data analytics to improve healthcare delivery, optimize energy use, enhance disaster response, and address other issues related to sustainable development in regions with limited resources. Through this focus on global challenges, the journal contributes to the equitable application of intelligent technologies in solving problems that affect communities worldwide. The journal’s editorial board is comprised of leading experts in data science, artificial intelligence, engineering, and applied mathematics, ensuring that published research adheres to the highest standards of scientific rigor. The peer-review process at JIDATE is designed to provide constructive feedback to authors while ensuring the integrity and quality of the research. In addition to original research articles, the journal also publishes review papers, case studies, and special issues focused on emerging trends in intelligent data analytics and engineering transformation. Through its diverse content and interdisciplinary approach, JIDATE seeks to advance both the theoretical foundations and practical applications of intelligent systems in engineering, fostering a deeper understanding of how these technologies can shape the future of industries ranging from transportation and manufacturing to healthcare and environmental management. The journal’s goal is to serve as a comprehensive resource for academics, practitioners, and policymakers working at the intersection of data science, AI, and engineering, promoting the adoption of intelligent systems that can drive sustainable and transformative changes in engineering practices worldwide. In conclusion, the Journal of Intelligent Data Analytics and Transformation Engineering provides an essential platform for the dissemination of innovative research at the forefront of engineering and technology. By publishing high-quality, interdisciplinary research, the journal contributes to the advancement of knowledge in the areas of intelligent data analytics, machine learning, and AI-based engineering solutions. The journal’s broad scope, which spans multiple engineering disciplines and addresses both fundamental research and real-world applications, ensures that it remains a critical resource for those interested in the future of intelligent engineering systems. Through its commitment to advancing cutting-edge research, promoting sustainable practices, and addressing ethical considerations, JIDATE continues to play a pivotal role in shaping the evolution of engineering in the age of intelligent systems and data analytics.