Introduction

The fusion of Artificial Intelligence (AI) with Geo-Spatial data presents an unprecedented opportunity to revolutionize various sectors, from urban planning to environmental conservation. Harnessing the power of AI in Geo-Spatial data analysis can lead to innovative solutions for addressing complex challenges and promoting sustainable development. This workshop aims to explore the synergy between AI and Geo-Spatial data, focusing on advancing innovative approaches for sustainable solutions.

Objective

The primary objective of the AI for Geo-Spatial Data Innovation workshop is to foster collaboration and knowledge exchange among researchers, practitioners, and stakeholders in the field. The workshop aims to explore cutting-edge advancements, challenges, and opportunities in leveraging AI for the analysis and utilization of Geo-Spatial data for sustainable solutions.

Submission Guidelines

Researchers, practitioners, and students are invited to submit original research papers, case studies, and review articles on topics related to AI for Geo-Spatial data innovation. Contributions are solicited in areas including, but not limited to:

• AI & Machine Learning for Sustainable Development Goals
• Deep Learning for Sustainable Development
• AI for Disaster Management & Sustainability
• Architecture & Applications for Data Acquisition and Processing
• Privacy, Security, and Social Implications on Acquiring Sustainability
• Ontologies & Semantic Reasoning for Sustainable Development
• Sustainable Development in Healthcare, Business, and Tourism
• Efficient, Sustainable Technology for Smart Cities and Futures
• Sustainable Development & E-Governance

Workshop Structure:

The workshop will feature keynote presentations, invited talks, paper presentations, panel discussions, and interactive sessions. Esteemed experts from academia, industry, and government agencies will share their insights and experiences, providing participants with valuable perspectives on the application of AI for Geo-Spatial data innovation.

Important Points:

• At least one author of each accepted paper must register for the workshop to the conference, to present the paper. The workshop will be Hybrid and no publication cost, only conference registration cost to attend or present the paper if accepted in the workshop.
• High quality papers recommended by the review committee will be submitted for possible inclusion in CUER proceedings (No APC)

Workshop Chairs:

• Amit Aylani, Vidyalankar Institute of Technology,India
• Mary Salami, UC Santa Barbara, USA

Contact

• Amit Aylani, Vidyalankar Institute of Technology, India((prof.amitaylani@gmail.com)