Udit Mamodiya, PhD – Associate Dean, Faculty of Engineering & Technology, Poornima University, Jaipur, India
Harish Garg, PhD – Associate Professor, Department of Mathematics, Thapar Institute of Engineering & Technology, Deemed University, Patiala, Punjab, India
Yu-Chen Hu, PhD – Professor, Department of Computer Science, Tunghai University, Taichung, Taiwan
Akhtar Kalam, PhD – Professor & Head of External Engagement, Victoria University, Melbourne, Australia
Deepen Banoriya, PhD – Professor, Department of Mechanical Engineering, Poornima University, Jaipur, Rajasthan, India

Series: Advances in Intelligent Systems and Cognitive Engineering
BISAC: COM011000; COM025000; COM048000
DOI: https://doi.org/10.52305/WTNF4533

The convergence of cognitive intelligence and sustainable engineering represents one of the most promising frontiers in modern science and technology. As the world grapples with unprecedented challenges climate change, resource scarcity, rapid urbanization, and the pressing need for clean energy the demand for intelligent, adaptive, and sustainable solutions has never been more urgent. This book, Cognitive Intelligent Systems in Sustainable Engineering: Concepts, Architectures, and Applications, emerges as a timely response to this global imperative. This volume brings together a diverse collection of twenty chapters, each contributed by leading researchers and practitioners from around the world. The chapters explore the transformative potential of cognitive AI across a wide spectrum of applications, including disaster management, renewable energy systems, smart cities, healthcare, education, waste management, cybersecurity, and beyond. Together, they paint a comprehensive picture of how intelligent systems are driving the transition toward a more sustainable and resilient future.