ΑΙ4GD

The 3rd Workshop on

AI Applications for Achieving the Green Deal Targets (ΑΙ4GD)​

The European Green Deal sets an ambitious pathway to transform the EU into a climate-neutral continent by 2050. In this context, the integration of Artificial Intelligence (AI) emerges as a key technology to address the multifaceted challenges associated with environmental preservation, climate change mitigation and carbon reduction. This workshop explores the diverse applications of AI in advancing the goals of the Green Deal, encompassing areas such as energy efficiency and flexibility, smart and resilient infrastructure, waste management, marine/underwater monitoring and biodiversity conservation.

Advanced AI methods and advanced technological solutions, including distributed machine learning, neural networks, Generative AI, and Agent-based modelling and play a crucial role in advancing the European Green Deal and the United Nations Sustainable Development Goals. They support decision-making for enhancing energy systems’ efficiency, promoting the integration of renewable energy sources, harvesting marine energy and enabling sustainable urban planning, accelerating progress toward a more sustainable, equitable, and climate-resilient future.

AI plays a transformative role in climate change mitigation by optimizing systems, improving efficiency, and enabling data-driven decision-making across multiple domains. Energy management earns from AI through energy management and optimization systems, energy efficiency systems, RES and storage management, smart transportation systems, AI-driven logistics, Digital Twins, simulation and behavior prediction, real-time monitoring, etc. These applications and systems could accelerate the transition to sustainable cities and communities.

In waste management, AI enables robotic sorting, intelligent recycling, asset-health monitoring and predictive maintenance, advancing circularity and reducing environmental impacts. For air quality and health, AI combines satellite, IoT and environmental data to detect pollution, forecast events, assess exposure and inform public-health interventions, including heatwaves and flood-related risks.

Biodiversity benefits from large-scale eco-analytics and species-distribution models for monitoring, early warning and climate-impact mitigation. In marine and underwater domains, AI-enabled robotics and sensor networks detect, localize and mitigate pollution, optimize offshore renewables, and generate actionable evidence to preserve ecosystems, fully aligned with the Green Deal’s “zero pollution” ambitions.

AI4GD Workshop aims to bring together interdisciplinary contributions that demonstrate measurable progress toward the Green Deal targets, with an emphasis on reproducible methods, open data/standards and deployable systems.

Organizing Committee

  • Prof. Stelios Krinidis, Democritus University of Thrace (DUTH), Greece.
  • Desislava Petrova-Antonova, GATE Institute, Sofia University, Bulgaria.
  • Asimina Dimara, University of the Aegean (UoA), Greece.

Program Committee

  • Michael Krinidis, Democritus University of Thrace (DUTH), Greece
  • Alexios Papaioannou, Democritus University of Thrace (DUTH), Greece
  • Alexandros Vrochidis, Democritus University of Thrace (DUTH), Greece
  • Christoforos Papaioannou, Democritus University of Thrace (DUTH), Greece
  • Ioannis Tzitzios, Democritus University of Thrace (DUTH), Greece
  • Lidia Vitanova, GATE Institute, Sofia University, Bulgaria
  • Petar Tomov, GATE Institute, Sofia University, Bulgaria
  • Petar O. Hristov, GATE Institute, Sofia University, Bulgaria
  • Mila Koeva, University of Twente, The Netherlands
  • George Spaias, Chalmers University of Technology, Sweden
  • Vasilis-Alexandros Naserentin, Chalmers University of Technology, Sweden

Topics of interest of AI4GD 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
  • Digital twins for grid operations, simulation and behavior prediction
  • AI in urban planning for sustainable and resilient cities
  • Intelligent transportation systems and traffic management
  • AI-assisted design, monitoring and maintenance of eco-friendly infrastructure
  • AI-based solutions for waste sorting and recycling
  • Predictive maintenance for waste treatment facilities
  • AI for circular-economy indicators and impact reduction
  • Multi-source sensing (satellites, IoT) for environmental pollution tracking (air, water, soil, noise, transport)
  • Event forecasting and rapid response for environmental risk mitigation
  • Real-time data collection for biodiversity, water and climate modelling
  • Predictive ecology and species-distribution modeling
  • AI optimization in offshore renewable energy systems
  • Underwater robotics for environmental pollution detection and mitigation
  • Advanced AI approaches and mission-planning for AUVs (incl. low-latency online planning)
  • Causal ML, probabilistic modeling and decision support for Green Deal targets
  • Scalable data platforms, open standards and reproducibility toolchains
  • Physical AI and Mixed Reality applications for urban planning for sustainable and resilient cities

Important dates

The AI4GD workshop follows the AIAI 2026 official date.

  • Paper Submission Deadline: 28 February, 2026
  • Notification of Acceptance/Rejection: 19 April, 2026
  • Camera Ready Submission/Registration: 8 May, 2026
  • Early / Author registration by: 8 May, 2026
  • Conference Dates: 16 – 19 July, 2026

Submission instructions

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 AIAI2026’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.

Submission details can be found at AIAI conference submission page.

You can submit you AI4GD paper here https://cmt3.research.microsoft.com/AIAI2026

After log in, click on “Create new submission” on the top left to enter the submission process and select “3rd Workshop on “AI Applications for Achieving the Green Deal Targets” (ΑΙ4GD)”

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.

This Workshop is partially supported by the European Union’s Horizon Europe research and innovation programme under projects TOURAL (Grant No. 101132489) and NERITES (Grant No. 101132575), by the Horizon 2020 WIDESPREAD-2018-2020 TEAMING Phase 2 programme under GATE (Grant No. 857155) and by the General Secretariat of Research & Innovation (GSRI), the Bulgarian National Science Fund (BNSF) through the Driving Urban Transitions (DUT) Partnership under the FLEdge project (F-DUT-2022-0337) and DS4SSCC–DEP, funded by the European Union Digital Europe Work Programme 2021-2022 under Grant Agreement No. 101123342.

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