Series editors

Anant Wairagade, Independent Researcher, Phoenix, USA,

Iski -Vinothkumar Kolluru
Senior data scientist
Department of Data Science, Stevens Institute of Technology, 1Castle Point Terrace, Hoboken, 07030, NJ, USA.

Dr. Tejinder Kaur

Department of MMICTBM, Maharishi Markandeshwar (Deemed To Be University), Mullana, Ambala-Haryana 133207, India

Call for Book editiors

CALL FOR BOOK PROPOSAL

1. Overview

The proposed book series, AI and IoT in Sustainable Infrastructure and Environmental Systems, aims to bring together recent advancements and applications of Artificial Intelligence (AI) and the Internet of Things (IoT) in engineering, environmental monitoring, and infrastructure development. The fusion of intelligent technologies and sustainability goals is essential to meet the demands of smart cities, climate resilience, disaster mitigation, and energy efficiency. This series targets interdisciplinary research and real-world applications across infrastructure, environmental, geotechnical, and civil systems.

2. Objectives

– Disseminate cutting-edge knowledge at the interface of AI/IoT and sustainable engineering.

– Highlight practical, scalable smart infrastructure solutions.

– Advance research in digital monitoring, predictive analytics, and climate-adaptive design.

– Support policy formation and industrial adaptation of green technologies.

– Foster international collaboration among researchers and industry professionals.

3. Scope of the Series

Infrastructure Health Monitoring
Digital Twins and Predictive Modeling
Environmental and Air Quality Sensors
Disaster Risk Reduction using AI
Smart Grid, Energy Efficiency & Automation
Green Building and Urban Resilience
AI in Hydrology, Geotechnics, and Transportation

4. Target Audience

Researchers and Academics in Engineering, Computer Science, and Environmental Sciences
Civil Engineers, Planners, and IoT Practitioners
Graduate and Doctoral Students in Smart Infrastructure and Sustainable Technology
Governmental Agencies, NGOs, and Private Sector Developers
Urban Innovation Think Tanks and Smart City Mission Stakeholders

5. Tentative Timeline

6. Proposed Book Titles in the Series

1. AI for Sustainable Urban Infrastructure: Theory, Design, and Deployment

2. IoT-Based Environmental Monitoring in Smart Cities

3. Machine Learning in Civil and Environmental Engineering

4. Edge and Cloud Computing for Infrastructure Automation

5. AI-Enabled Structural Health Monitoring and Predictive Maintenance

6. Smart Water Networks: AI and IoT Approaches for Water Sustainability

7. Air Quality Monitoring with AI-Powered Sensor Networks

8. Digital Twins for Resilient Urban Planning and Infrastructure

9. AI and IoT in Intelligent Transportation Systems

10. Smart Waste Management: Data-Driven and Sensor-Based Approaches

11. AI in Green Building Design and Energy-Efficient Construction

12. Early Warning Systems for Natural Hazards Using AI and IoT

13. Pavement Condition Monitoring with AI and Remote Sensing

14. Remote Sensing Integration with IoT for Environmental Risk Detection

15. Big Data Analytics for Climate-Resilient Infrastructure Systems

16. Cyber-Physical Systems for Sustainable Construction Engineering

17. IoT-Based Groundwater and Soil Quality Monitoring

18. AI-Driven Resource Optimization in Smart Cities

19. AI for Environmental Impact Assessment and Policy Support

20. Decentralized Smart Grids and Renewable Energy Systems

7. Submission Details

Manuscript Guidelines:
– Chapter Length: 5,000–7,000 words
– APA/IEEE citation style
– Original research, case studies, technical reviews, or implementation frameworks
– Figures, Tables, and Diagrams must be in high resolution (300 DPI)

Submission Emails:
editor.expertnotes@gmail.com

8. Expected Outcomes

– Indexed publication (Scopus/Google Scholar/DOI assignment)

– Enhanced interdisciplinary collaboration

– Policy-level insights for smart infrastructure development – A ready reference for AI-IoT integration in engineering projects