1st Edition

Intelligent Urban Infrastructure Smart Solutions for Sustainable Cities

216 Pages 54 B/W Illustrations
by CRC Press

Intelligent Urban Infrastructure: Smart Solutions for Sustainable Cities explores how emerging digital technologies are reshaping the design, management, and sustainability of modern cities. This comprehensive volume examines the integration of Artificial Intelligence (AI), Internet of Things (IoT), data analytics, and intelligent automation into critical urban systems such as transportation,... Read more

Chapter 1: Introduction to Smart Cities and Urban Sustainability

Jyotsna Vilas Barpute, Shubhangi Suryawanshi, Digvijay Bhosale, Vanita Kshirsagar

 

Chapter 2: Climate Adaptation and Urban Resilience

Mita Chakraborty, Lovleen Marwaha

 

Chapter 3: Internet of Things for Urban Sensing and Connectivity

Umesh Ghorpade, Shubhangi Suryawanshi, Digvijay Bhosale, Prachi Chavan

 

Chapter 4: Artificial Intelligence, Cloud, Edge, and 5G Technologies in Urban Decision-Making

Praveen Kumar Verma, Hitesh Vasudev, Chandrahas Patil

 

Chapter 5: Early Warning Detection Systems in Urban Areas

Karan Gupta

 

Chapter 6: Blockchain for Transparent and Secure Urban Services

Abhaar Gupta

 

Chapter 7: Energy Management and Smart Grids

Praveen Kumar Verma, Hitesh Vasudev, Alfaj Shaikh

 

Chapter 8: Smart Water and Waste Systems

Praveen Kumar Verma, Hitesh Vasudev, Vaibhav Kashyap

 

Chapter 9: Structural Transitions in the Intelligent Transportation Landscape: A Systemic Analysis of Smart and Sustainable Mobility

Praneetha Kotla, Debasish Sen

 

Chapter 10: Green Buildings and Infrastructure for Climate Resilience through Digital Technologies

Umesh Ghorpade, Shubhangi Suryawanshi , Digvijay Bhosale, Ajinkya Bhosale

 

Chapter 11: Integrating Smart Health Systems in the Era of Digital Cities

Labdhi Jain

 

Biography

Anurag Goswami is a Professor at School of CSET at Bennett University, India. With a strong background in Computer Science Engineering and Technology, his research focuses on Empirical Software Engineering, Software Reliability, and Software Quality Improvement. His multidisciplinary approach during his Ph.D. incorporates insights from Cognitive Psychology, Behavioral Science, and biology to address critical issues in Software Engineering. Notably, his work has improved software inspection performance through innovative techniques like eye-tracking and cognitive psychology. 

Vaibhav Anu is an Associate Professor of Computer Science at Montclair State University. He joined Montclair State in Fall 2018. Before joining Montclair State, he received a PhD in Software Engineering from North Dakota State University. Dr. Anu is interested in software development planning, analysis, and management, and particularly in improving software quality by improving the processes and practices involved in software development. The primary focus of Dr. Anu's research is on development and empirical validation of effective methods for verification and validation of software artifacts.

Shubhangi Suryawanshi is an accomplished academician and researcher with over 15 years of experience in teaching, research, and academic leadership. She holds a Ph.D. in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning from Bennett University, Greater Noida, and a Master’s degree in Computer Engineering from Savitribai Phule Pune University, Pune. Her research interests include Artificial Intelligence, Machine Learning, Deep Learning, Online and Incremental Learning, Concept Drift Adaptation, Time Series Analysis, Natural Language Processing, and AI applications in advanced manufacturing and material informatics. 

Digvijay Bhosale is an accomplished academic and chartered professional with over 15 years of experience in research, industry, and teaching. He holds a Ph.D. in Mechanical Engineering (Machine Learning and Surface Engineering) from Veermata Jijabai Technological Institute (VJTI), Mumbai, India and a Master of Technology (M.Tech.) from Veermata Jijabai Technological Institute (VJTI), Mumbai, India. His research interests span surface engineering, machine learning, tribology, and material processing. Dr. Digvijay has secured funding from multiple organizations to support his research initiatives.