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Welcome to the CSAIL at the University of South Florida, part of the Bellini College of Artificial Intelligence, Cybersecurity, and Computing. Our mission is to address cross-domain challenges by developing advanced AI systems with a focus on multi-modal and graph learning techniques.
Research Topics
Research Topics
Our group focuses on advancing the following machine learning techniques:
Graph Neural Networks (GNN), Spatio-temporal graph learning, Graph representation learning
Multimodal learning, Multimodal fusion, Hierarchical and cross-modal integration
Generative AI, Large Language Models (LLMs), Diffusion models
Fairness in machine learning, Bias mitigation, Algorithmic transparency
AI + CommunicationÂ
Speech Assistant
Early Intervention
AI + Mental Health
Suicide Prevention
Symptom Detection
AI + Journalism
AI-generated News
Fake News Detection
AI + Social Media
Influencer Marketing
Peer Engagement
Prospective Students
If you are a motivated student interested in advancing AI techniques like graph neural networks, multimodal learning, or generative AI to address social challenges, we encourage you to explore opportunities with CSAIL. Please check the instructions on the Prospective Students page for more details.
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