š§ Aims and Scope
The Journal of AI for a Sustainable Future (JASF), published by deepsAIght, is a peer-reviewed, interdisciplinary platform focused on advancing cutting-edge research across three critical domains: Artificial Intelligence (AI), Engineering, and Sustainability. The journal provides a space for scholars, practitioners, and innovators to explore both foundational and applied dimensions of AI while addressing global challenges through sustainable and engineering-driven solutions.
JASF publishes original research, technical papers, and applied studies in the following areas:
Core AI innovations including deep learning, generative models, reinforcement learning, and data-centric AI with applications across sectors.
Engineering applications enhanced by AI in energy systems, infrastructure, automation, robotics, smart materials, and circular manufacturing.
Sustainability-focused solutions driven by AI for resource efficiency, carbon mitigation, renewable energy integration, climate adaptation, and green technology deployment.
AI-driven decision-support systems for urban planning, water and waste management, sustainable agriculture, and disaster resilience.
Cross-sectoral studies integrating AI, engineering tools, and sustainability analytics to enable measurable impact in real-world settings.
The journal encourages submissions that demonstrate originality, technical rigour, and actionable insights contributing to a future that is intelligent, resilient, and sustainable.