ISSN: 3108-2106 (Online)
Archives
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Intelligent Systems and Future Engineering Paradigms
Vol. 2 No. 2 (2026)The rapid evolution of intelligent systems is fundamentally transforming the landscape of engineering, enabling smarter, more adaptive, and data-driven solutions to complex global challenges. This issue, “Intelligent Systems and Future Engineering Paradigms,” brings together cutting-edge research that explores the integration of artificial intelligence, machine learning, data analytics, and advanced computational techniques across diverse engineering domains.
The focus of this issue is to highlight how emerging intelligent technologies are reshaping traditional engineering practices into dynamic, autonomous, and predictive systems. Contributions in this volume examine innovative methodologies, frameworks, and real-world applications that leverage intelligent systems for enhanced efficiency, sustainability, and decision-making.
Key themes covered in this issue include, but are not limited to:
- Artificial Intelligence and Machine Learning in Engineering Applications
- Intelligent Automation and Robotics
- Smart Infrastructure and Cyber-Physical Systems
- Internet of Things (IoT) and Edge Computing
- Data-Driven Engineering and Predictive Analytics
- Sustainable and Green Intelligent Technologies
- Digital Transformation and Industry 4.0/5.0 Paradigms
- Human-Centered AI and Ethical Engineering Systems
This issue aims to provide a platform for researchers, academicians, and industry practitioners to present novel insights and interdisciplinary approaches that define the future of engineering. By bridging theoretical advancements with practical implementations, the volume contributes to shaping resilient, intelligent, and sustainable engineering ecosystems for the next generation.
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Engineering Solutions for Global Challenges
Vol. 2 No. 1 (2026)Engineering Solutions for Global Challenges highlights the critical role of engineering research in addressing complex, real-world problems faced by societies worldwide. This volume brings together high-quality, peer-reviewed contributions that showcase innovative, scalable, and sustainable engineering solutions aimed at global issues such as climate change, energy security, healthcare accessibility, smart infrastructure, digital transformation, environmental sustainability, and resilient socio-technical systems.
The volume emphasizes multidisciplinary and interdisciplinary approaches, encouraging the integration of emerging technologies—such as artificial intelligence, data analytics, intelligent systems, IoT, and advanced materials with traditional engineering domains. By bridging theory, experimentation, and practical implementation, the published works demonstrate how engineering research can translate into measurable societal impact.
Through original research articles, case studies, and applied investigations, this volume serves as a platform for researchers, academicians, industry professionals, and policymakers to exchange ideas that contribute to global development goals and sustainable engineering practices. Engineering Solutions for Global Challenges reinforces PUXplore’s commitment to advancing engineering knowledge that is not only innovative but also socially responsible and globally relevant.
