Dr. Sartajvir Singh is an accomplished academician at Chandigarh University, specializing in Electronics and Communication Engineering. He is practicing as Registered Patent Agent (IN/PA 5806) Registered Trade Mark Agent (TMA 2646). So far, he has filed 75 innovations/patents at the Indian Patent Office (IPO) with 35 Granted/Awarded. With expertise in the filed of Remote Sensing, Computing Algorithms, and Electronics, he has published 81 in SCI/Scopus Index Journals. An active IEEE member, he engages with IEEE Young Professionals, IEEE GRSS, IEEE Sensors Council, and ISPRS. His research focuses on Remote Sensing, Machine Learning, Deep Learning, and Computer Vision. He has served as a keynote speaker and resource person for numerous workshops and webinars. He also edited 2 conference proceedings, 10 books and Special Issues with publishers like Wiley, Nature, De Gruyter, Bentham Science, Springer, Elsevier, CRC, and Apple Academic Press.
New Technologies for Geo-Environmental Hazards / Advanced Computing, IoT, and AI for Risk Mitigation
Publisher: ISTE - Wiley
Editors: Sartajvir Singh, Neelam Dahiya, Narayan Vyas, Ankit Tyagi
This book, New Technologies for Geo-Environmental Hazards: Advanced Computing, IoT, and AI for Risk Mitigation, delves into the transformative role of hyperautomation and smart technologies in managing environmental risks. The volume covers emerging techniques like IoT, AI, UAVs, and advanced remote sensing for real-time monitoring, prediction, and decision-making in hazard-prone regions. Featuring expert case studies and data-driven insights, the book offers practical frameworks for researchers, disaster management agencies, and policy strategists.
| Important Dates | |
|---|---|
| Abstract Submission Deadline | 31 July 2025 |
| Abstract Acceptance Notification | 15 Aug 2025 |
| Full Chapter Submission Deadline | 30 September 2025 |
| Chapter Acceptance Notification | 30 October 2025 |
| Projected Book Release Date | March 2026 |
| Important Guidelines | |
|---|---|
| Citation Style | Harvard |
| Originality | Plagiarism Under 10%, 0% AI Generated Content |
| Formatting | 11 pt Times New Roman, 1.5 line spacing |
| Headings | Heading 1: ALL BOLD CAPS; Heading 2: Bold Title Case; Heading 3: Bold Italic Title Case;Heading 4: Bold Italic Sentence case; Heading 5: Light Italic Sentence case; Paragraphs: Should be Numbered (1.1, 1.1.1, etc.) |
| Figures | High-quality, original figures, 300 dpi |
Chapter 1: Introduction to Hyperautomation in Hazard Management
Chapter 2: Types and Impacts of Geo-Environmental Hazards
Chapter 3: Risk Assessment Using Advanced Computing Techniques
Chapter 4: Robotics and UAVs in Hazard Mitigation
Chapter 5: Cloud Computing for Geo-Environmental Hazard Analysis
Chapter 6: IoT Applications in Real-Time Hazard Monitoring
Chapter 7: AI-Driven Hazard Prediction and Management
Chapter 8: Advanced Remote Sensing Techniques for Hazard Mapping
Chapter 9: IoT and UAVs in Disaster Preparedness and Response
Chapter 10: Coastal Hazard Mapping Using Machine Learning Algorithms
Chapter 11: AI-Based Risk Assessment in Mountainous Regions (Himalayas)
Chapter 12: Urban Hazard Management with Hyperautomation Tools
Chapter 13: Advancements in Satellite Remote Sensing for Hazard Monitoring
Chapter 14: Drone-Based Remote Sensing for Disaster Risk Reduction
Chapter 15: Integration of IoT with Remote Sensing for Real-Time Monitoring
Chapter 16: AI and Machine Learning in Remote Sensing Applications
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