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). So far, he has filed 58 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 72 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, 7 books with publishers like Wiley, De Gruyter, Bentham, Elsevier, CRC, and Apple Academic Press.
Artificial Intelligence in Remote Sensing for Disaster Management: Future Perspectives and Sustainable Solutions
Publisher: Wiley-Scrivener
Editors: Neelam Dahiya, Gurwinder Singh, Apoorva Sharma, Sartajvir Singh
As the current requirement of the society for sustainable development, the near/real-time monitoring, forecasting, prediction, management of natural resources, prediction of flash floods, analysis of sea-ice melt, cyclone predictions, forestry and observed climate changes. The book will deliver essential guidance regarding the AI-driven algorithms specifically developed for disaster management to meet the requirements of emerging applications.
| Important Dates | |
|---|---|
| Abstract Submission Deadline | 31 January 2024 |
| Abstract Acceptance Notification | 10 febrary 2024 |
| Full Chapter Submission Deadline | 10 March 2024 |
| Chapter Acceptance Notification | 31 March 2024 |
| Projected Book Release Date | Mar 2025 |
| Important Guidelines | |
|---|---|
| Citation Style | IEEE |
| Originality | Plagiarism Under 10%, 0% AI Generated Content |
| Text Style | 11 pt Times New Roman, 1.5 line spacing |
| Headings | 3 numbered headings (e.g. 1, 1.1, 1.1.1), one unnumbered heading |
| Figures | High-quality, original figures, 300 dpi |
Chapter 1: Overview of natural hazards & effecting managing strategies
Chapter 2: Remote Sensing for emergency response and disaster rehabilitation
Chapter 3: AI tools and technologies in disaster risk reduction and management
Chapter 4: AI-based landslide susceptibility evaluation and hazard zonation
Chapter 5: Identification of landslide using machine/deep learning models
Chapter 6: Landslide displacement forecasting with AI models
Chapter 7: Estimation of snow avalanches hazardous zones with AI models
Chapter 8: Predicting and understanding the snow avalanche events
Chapter 9: Challenges and opportunities in snow avalanches assessment
Chapter 10: AI-based modelling of GLOF process and its impact
Chapter 11: GLOF Susceptibility Assessment System
Chapter 12: Progress and challenges GLOF estimation and prediction
Chapter 13: AI-driven real-time monitoring of earthquakes
Chapter 14: Deep learning or machine learning to unveil seismic events
Chapter 15: Advanced geospatial AI tools for earthquake damage assessment
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