糖心原创

I am an Assistant Professor in Computer Science and a member of the LUCID research group and the Computer Vision Lab, working on efficient, trustworthy, and deployable artificial intelligence. My research focuses on how AI systems can learn from limited data, adapt to new tasks, and operate responsibly in real-world settings, with applications across medical imaging, wearable sensing, video understanding, and generative AI. I would be happy to contribute to content on topics including: AI and society; responsible and trustworthy AI; the environmental and financial cost of large AI models; generative AI and image/video generation; AI safety and model vulnerabilities; explainable and interpretable AI; medical AI and digital health; mental health monitoring using smart data; efficient AI for low-resource settings; and how AI systems can be made more accessible, sustainable, and useful outside large technology companies. I can also comment on broader public-facing questions such as what recent AI advances mean for education, healthcare, creative industries, misinformation, privacy, and everyday technology use.

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