ΑΙ4GD

The global pursuit of sustainable development has given rise to the European Green Deal, an ambitious initiative aimed at transforming the European Union into a climate-neutral continent by 2050. In this context, the integration of artificial intelligence (AI) emerges as a pivotal tool to address the multifaceted challenges associated with environmental conservation and carbon reduction. This abstract explores the diverse applications of AI in advancing the goals of the Green Deal, encompassing areas such as energy efficiency, smart infrastructure, waste management, and biodiversity conservation.

AI technologies, including machine learning, data analytics, and optimization algorithms, play a crucial role in enhancing energy systems’ efficiency and promoting the integration of renewable energy sources and harvesting the marine energy, thus aligning with the Green Deal’s commitment to sustainable energy practices.

In waste management, AI facilitates the implementation of innovative solutions, including robotic sorting, intelligent recycling systems, and predictive maintenance for waste treatment facilities. These applications not only streamline waste management processes but also contribute to circular economy principles, minimizing environmental impact.

Biodiversity conservation benefits from AI through the analysis of large ecological datasets and the development of predictive models for species distribution. Machine learning algorithms assist in monitoring and protecting endangered species, identifying ecological patterns, and mitigating the impact of climate change on ecosystems.

Furthermore, AI applications in underwater robotics and sensor networks play a crucial role in identifying and mitigating pollution in oceans and seas. Smart sensors equipped with AI algorithms can detect and track pollutants, enabling swift response measures to prevent and minimize environmental damage. This proactive approach aligns with the Green Deal’s emphasis on reducing pollution and preserving marine ecosystems.

The AI4GD Workshop aims to bring together interdisciplinary approaches that focus on the application of AI-driven solutions for achieving the Green Deal targets.

Organizing Committee

• Ass. Prof. Stelios Krinidis, International Hellenic University (IHU), Greece.
• Dr. Iakovos Michailidis, Centre for Research and Technology Hellas (CERTH), Greece.
• Prof. Elias Kosmatopoulos, Democritus University of Thrace (DUTH)/ Centre for Research and Technology Hellas (CERTH), Greece.
• Dimosthenis Ioannidis, Centre for Research and Technology Hellas (CERTH), Greece.

Program Committee

• Giorgos Karatzinis, Centre for Research and Technology Hellas (CERTH), Greece
• Giorgos Vougiatzis, Centre for Research and Technology Hellas (CERTH), Greece
• Aliki Stefanopoulou, Centre for Research and Technology Hellas (CERTH), Greece
• Asimina Dimara, Centre for Research and Technology Hellas (CERTH), Greece
• Alexis Papaioannou, Centre for Research and Technology Hellas (CERTH), Greece
• Apostolos Vlachos, Centre for Research and Technology Hellas (CERTH), Greece

Topics of interest of AIBMG include (but are not limited to):

• AI-driven solutions for optimizing energy consumption
• Smart grids and demand-response systems using AI
• Integration of renewable energy sources with AI technologies
• AI in urban planning for sustainable and resilient cities
• Intelligent transportation systems and traffic management
• Applications of AI in the design and maintenance of eco-friendly infrastructure
• AI-based solutions for waste sorting and recycling
• Predictive maintenance for waste treatment facilities
• Circular economy principles and AI in reducing environmental impact
• Real-time data collection on biodiversity, water quality, and climate parameters
• Enhancing scientific understanding of underwater ecosystems through AI
• AI optimization in offshore renewable energy systems
• Machine learning for predicting tidal and wave patterns
• Sustainable energy practices and AI applications in marine energy harnessing
• AI-enabled underwater robots for pollution detection and mitigation
• Smart sensors with AI algorithms for tracking and managing pollutants
• Rapid response measures facilitated by AI in preventing environmental damage
• Collaborative efforts in AI-driven marine conservation strategies
• Sharing data and insights for global marine ecosystem preservation
• Developing standardized approaches to AI applications in underwater technologies
• AI approaches for optimized mission-planning of Autonomous Unmanned Vehicles
• Low-end online optimized mission planning

Important dates

Please visit AIAI 2024 important dates to be informed about the submission deadlines.

Submission instructions

Submission details can be found at AIAI conference submission page.

All papers should be submitted either in a doc/docx or in a pdf form and will be peer reviewed by at least 2 academic referees. Contributing authors must follow the AIAI2024’s paper format guidelines as far as the IFIP AICT file format.

Papers will be peer reviewed by at least two (-2-) members of the workshop’s program committee.

Accepted papers will be published in the Proceedings of AIAI VOLUME, under the Springer IFIP AICT Series.

You can submit you ΑΙBMG paper here http://www.easyacademia.org/aiai2024.