Collaboration and technical discussion
The best route for collaboration, speaking invitations, research discussions, and technically specific inquiries.
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I welcome thoughtful conversations around AI agents, IDE-like agent systems, trustworthy AI, speech and language systems, and deployment in security-sensitive or regulated environments.
The direct route
Email is the best path for collaboration, speaking invitations, hiring conversations, and technically specific questions about AI agents or system design.
Research collaboration and interdisciplinary lab conversations
Speaking invitations for AI agents, speech systems, or cybersecurity
Hiring, technical peer exchange, and IDE-like agent system design
Helpful context to include
- What you are working on and why it connects to Jason's research.
- What kind of conversation would be useful: collaboration, talk, review, or role discussion.
- Any timing, audience, or constraints that would help shape a reply.
Profile
Jason Chia-Sheng Lin
Doctoral researcher at National Yang Ming Chiao Tung University in the Artificial Intelligence in Medical Imaging / Signal Analysis Lab, working across AI agents, trustworthy AI, medical cybersecurity, speech intelligence, and real-world deployment, with recent English CISC 2025 papers on ransomware defense and threat pulse modeling for zero-trust maturity assessment.
What Jason is building now
Evidence-Aware Speech Intelligence Pipelines · Grounded Fraud Conversation Analysis · Leakage and Privacy Risk in Federated Learning
View researchCredibility and external references
Doctoral research at NYCU, an official CYBERSEC 2026 session, and 2 English CISC 2025 conference papers.
Review talks