Cécile Paris

Cécile Paris is a researcher at CSIRO, focusing on interdisciplinary applications at the intersection of Artificial Intelligence, Cybersecurity, and Human-AI Collaboration. Her work spans domains such as biomedical informatics, social media analysis, and robotics.

Research Interests:

• Developing collaborative frameworks for human-AI teams
• Explainable AI in cybersecurity
• Trust modeling in social networks
• Fake news detection via temporal and graph-based networks
• Image captioning with multimodal learning
• Stance classification across domains

Article Trends: Recent publications emphasize adaptive alert prioritization (2025), systematic reviews on cybersecurity challenges (2024), and foundational work in NLP for epidemic intelligence (2018-2020). Key methodologies include graph neural networks, transformer models, and adversarial training.