Papers submittals for Posters, Workshops, and Panel Proposals
CAI 2025 seeks original, high-quality technical papers, presentations, and proposals describing the research and results that contribute to advancements in the following AI applications and verticals. We also welcome paper submission(s) that are not confined to the topics mentioned in the vertical tracks listed below.
AI in Transportation/Aerospace
Focus includes the optimal design of aerospace systems using AI; large- and small-scale transportation systems; deep learning for autonomous driving; and autonomous decision making in long-term space flight management.
AI and Sustainability
Employ AI to optimise resource usage, reduce waste, and support renewable energy initiatives. It leverages AI’s problem-solving capabilities to address environmental challenges and contribute to a sustainable future.
AI in Healthcare and Life Science
Explore the need for improved decision-making to assist medical practitioners as well as additional medical issues including personnel allocation and scheduling, automated sensing, improved medical devices and manufacturing processes, and supply chain optimisation.
AI in Energy
AI tools have a noticeable impact on energy sectors and can be utilized in Power load forecasting, Power generation forecast of renewable energy to improve agility and resilience; Smart Grid Control, and Power Network Security Protection.
AI System Quality Assurance and Standards
Address the urgent and critical demand, and provides the first platform to support academic researchers, industry quality assurance groups, and practitioners to propose, discuss, and exchange AI and application system quality assurance issues, ideas, metrics, standards, and control systems.
AI in Multi-agents and Robotic Systems
Multi-Agent Systems (MAS) in Artificial Intelligence study how multiple intelligent agents or robots work together to achieve tasks under common goals or distinct interest scenarios. It involves mixing agents with humans to address raising trust and safety concerns.
Foundation Models and Generative AI
Delve into the power of foundation models and generative AI, leveraging knowledge representation, crossing modality gaps, and reshaping data generation. It harnesses generative AI to innovate and ensure robustness, fairness, transparency, while understanding the challenges in deploying the foundation models.
Industrial AI
Revolutionise aerospace, transportation, and manufacturing sectors through optimising system design, autonomous navigation, and management logistics. Its application to power systems enhances grid efficiency, predictive maintenance, and cybersecurity, shaping a smarter and more resilient energy landscape.
AI System Security, Safety, and Trustworthy
Develop AI systems that are reliable, secure, and trustworthy is necessary and critical to the society and the public to withstand unexpected situations or cyberattacks. It emphasises the importance of creating AI technologies that are secure and trustworthy, and provide service functions correctly and safely, even under adverse conditions, while also maintaining data privacy and system integrity.
Societal Implications of AI
Explore the impact of artificial intelligence on society, including issues related to ethics, privacy, and equity. It examines how AI influences job markets, decision-making processes and personal privacy, while also considering the importance of fairness, transparency, and accountability in AI systems.
Papers accepted by IEEE CAI will be submitted to the IEEE Xplore ® Digital Library. Selected high-quality papers will be further invited for submission to a journal special issue.