GARM-CC 2025
Green AI and Responsible Machine Learning for Connected Communities. Organized as part of the 25th International Conference on Next Generation Wired/Wireless Networks and Systems (NEW2AN 2025)Hybrid (In-person and Online Presentations)
Workshop Description
Artificial intelligence is increasingly integral to the design and deployment of smart city systems, public infrastructure, and next-generation networked environments. However, the rising environmental cost of training and deploying complex AI models—and the growing demand for ethical, transparent systems—necessitates new frameworks and methods to ensure AI remains sustainable and socially responsible.
This workshop explores the intersection of Green AI and Responsible Machine Learning in the context of connected communities and smart cities. It will address technical issues such as energy-efficient model design, edge deployment of AI, decentralized learning for data privacy, and lifecycle assessment of AI’s environmental footprint. It will also focus on transparency, fairness, and governance mechanisms to ensure AI aligns with ethical principles and public expectations.The workshop will include peer-reviewed paper presentations and invited talks to promote research collaboration and highlight real-world applications. Accepted and presented papers will be published in Springer LNCS proceedings (indexed in Scopus, DBLP, Web of Science, and more).
Topics of Interest
We welcome interdisciplinary contributions at the intersection of AI, sustainability, and technology. Key topics include (but are not limited to):🧠Energy-Efficient AI:
-TinyML, quantization, pruning
-Lightweight models for mobile & edge
-Green hardware-software co-design
🌍 AI for Sustainability:
-Smart energy & transport optimization
-AI in climate modeling & resource use
-Sustainable agriculture, water, and waste systems
🏙️ Smart & Sustainable Cities:
-Green AI in urban infrastructure
-Edge AI for traffic, pollution & utilities
-Smart city case studies
🔄Lifecycle & Impact:
-Carbon footprint of AI workflows
-Sustainable data and training practices
-Tools & benchmarks for environmental impact
🌐 Decentralized & Federated AI:
-Federated learning for edge IoT
-Energy-aware distributed systems
-Privacy-preserving green AI
⚖️ Ethics & Policy:
-Fairness, transparency, explainability
-AI governance for sustainability
-Data privacy & compliance (e.g., PDPL, GDPR)
📚 Tools & Cross-Domain Cases:
-Open datasets & reproducible research
-Toolkits for green model development
-Interdisciplinary and real-world applications
Paper Submission Details
- Paper Length: 5–8 pages including references.
- Review Process: Double-blind peer review.
- Format: Springer Lecture Notes in Computer Science Proceedings Template. Please refer to proceedings template in this link: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines- EDAS Submission Link: https://edas.info/N34255
Note: Only registered papers presented at the conference will appear in the Springer LNCS proceedings (indexed in Scopus, DBLP, Web of Science, and more).
Important Dates
- Submission Deadline: September 20, 2025 September 30, 2025
- Notification of Acceptance: October 10, 2025
- Camera-Ready Submission: October 15, 2025
- Workshop Date: 10-12 November 2025 (TBD)
Workshop Organizer
Dr. Heba Ismail
College of Technological Innovation
Zayed University, Abu Dhabi, UAE
Email: [email protected]
Program Committee
1. Dr. Heba Ismail, Zayed University, UAE2. Prof. Ashraf Khalil, Zayed University, UAE3. Prof. Saad Harous, University of Sharjah, UAE4. Dr. Bilal Hassan, London Metropolitan University, UK5. Dr. Arjumand Younus, University College Dublin, Ireland.6. Prof. Mourad Elhadef, Abu Dhabi University, UAE7. Dr. Adel Abu Sitta, Polytechnique Montréal, Canada8. Dr. Huma Zia, University of Hertfordshire, UK9. Dr. Mohammed Elhadad, Abu Dhabi University, UAE10. Dr. Hamda Al Breiki, Zayed University, UAE11. Eng. Nada Emara, Arab Academy for Science, Technology, and Maritime Transport (AASTMT), Egypt