Journal of Intelligent Communication

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The Role of Artificial Intelligence in Advanced Engineering: Current Trends and Future Prospects

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https://doi.org/10.54963/jic.v4i1.959
Palazzo, S., Palazzo, F., & Zambetta, G. (2025). The Role of Artificial Intelligence in Advanced Engineering: Current Trends and Future Prospects. Journal of Intelligent Communication, 4(1), 1–30. https://doi.org/10.54963/jic.v4i1.959
Volume 4 Issue 1 (2025): In Progress
Copyright (c) 2025 Stefano Palazzo, Federica Palazzo, Giovanni Zambetta
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Authors

  • Stefano Palazzo
    “M Albanesi” Allergy and Immunology Unit, Bari, 70126, Italy; The Allergist, Bari, 70126, Italy; Department of Engineering and Science, Universitas Mercatorum, Rome 00186, Italy https://orcid.org/0009-0000-7274-5800
  • Federica Palazzo Department of Human and Social Sciences, Universitas Mercatorum, Rome, 00186, Italy
  • Giovanni Zambetta Forensic Medicine, "F. Miulli" General Regional Hospital, Acquaviva delle Fonti (BA) 70021, Italy

Artificial Intelligence (AI) is increasingly transforming various engineering disciplines, playing a pivotal role in design, manufacturing, maintenance, and optimization. This paper provides a comprehensive analysis of AI applications in advanced engineering, examining key trends, challenges, and future directions. The study systematically categorizes AI methodologies across different fields, including mechanical, civil, electrical, aerospace, and environmental engineering, as well as emerging areas such as biomedical engineering and material science. Through an extensive literature review and case study analysis, this work highlights the impact of AI-driven optimization in mechanical engineering, predictive maintenance in industrial applications, automation in manufacturing, and AI-enhanced smart infrastructure development.Methodologically, this research synthesizes findings from major scientific databases, including IEEE Xplore, PubMed, Scopus, and Web of Science, ensuring a robust and interdisciplinary perspective. The analysis identifies critical challenges in AI adoption, such as data privacy, scalability, and system integration, and explores strategies to address them. Furthermore, this paper discusses the ethical and societal implications of AI in engineering, emphasizing the need for transparent, explainable, and unbiased AI models.The findings suggest that AI has significantly improved engineering efficiency and innovation but also underline the necessity for interdisciplinary collaboration and standardized frameworks to maximize AI’s transformative potential. The study concludes by outlining future prospects, including the integration of AI with the Internet of Things (IoT) and blockchain, the evolution of AI-driven materials discovery, and the role of AI in personalized medicine and next-generation engineering solutions. Addressing these challenges and leveraging AI’s capabilities will be instrumental in shaping the future of engineering.

Keywords:

Artificial Intelligence; Advanced Engineering; Machine Learning; Neural Networks; Optimization; Design; Manufacturing; Maintenance

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