Yaman Yu
Scholar

Yaman Yu

Google Scholar ID: P4u5JI8AAAAJ
University of Illinois Urbana-Champaign
usable privacy and securityhuman-computer interactionAccessibilityWeb3
Citations & Impact
All-time
Citations
143
 
H-index
7
 
i10-index
5
 
Publications
17
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • 1. Recipient of the 2025 Google PhD Fellowship, 2. MIT EECS Rising Star for 2025, 3. Paper accepted at IEEE Symposium on Security and Privacy 2025 'Exploring Parent-Child Perspectives on Safety in Generative AI', 4. Paper at ACM CHI Conference on Human Factors in Computing Systems 2024 'Don’t Put All Your Eggs in One Basket': How Cryptocurrency Users Choose and Secure Their Wallets' with Best Paper Honorable Mention.
Research Experience
  • As a Ph.D. candidate in SALT Lab, research focuses on: 1. Characterizing emerging relational risks in AI-human interactions, 2. Evaluating the limitations of current AI safeguards, 3. Developing new conceptual and technical frameworks for relational AI safety.
Education
  • Ph.D.: School of Information Sciences at the University of Illinois Urbana-Champaign, Advisor: Yang Wang; M.S.: Heinz College at Carnegie Mellon University, Advisors: Alessandro Acquisti and Cristobal Cheyre.
Background
  • Research Interests: Human-Computer Interaction (HCI), Responsible AI, Human-Centered Safety and Security. Professional Area: Building safer and more resilient human-AI ecosystems, especially for vulnerable populations like youth. Bio: Aims to develop human-centered models and interaction frameworks that detect and mitigate long-term risks to user autonomy, trust, and wellbeing as AI systems become increasingly embedded in daily life.
Miscellany
  • Actively seeking tenure-track faculty and postdoctoral positions in the 2025-2026 academic job market.