J. J. Fan
Papers
1
Total Citations
9
H-Index
1
About
Dr. J. J. Fan is a leading researcher at the intersection of artificial intelligence, cybersecurity, and digital healthcare, with a primary focus on developing privacy-preserving technologies for sensitive medical applications. Their most influential work, "A Privacy-Privacy-Preserving Framework for Mental Health Chatbots Based on Confidential Computing" (2022, 9 citations), addresses a critical challenge in teletherapy: how to deliver AI-powered psychological counseling without compromising patient confidentiality. By integrating confidential computing architectures into mental health chatbots, Fan has pioneered methods that allow these systems to provide accurate, real-time diagnostic support—available anytime, anywhere—while ensuring that sensitive patient data remains encrypted and inaccessible even to the service providers. This breakthrough not only reduces the workload on overburdened psychologists but also expands access to mental health care for underserved populations. Fan's contributions are particularly notable for bridging the gap between advanced cryptographic techniques and practical clinical deployment, setting a new standard for ethical AI in healthcare. Their work continues to influence the design of secure, scalable digital health platforms, making them a key voice in the ongoing conversation about trust and safety in AI-assisted medicine.
Research Focus
Key Achievements
Top Papers
- 1