Valerie Zhao
Papers
2
Total Citations
3
H-Index
1
About
Valerie Zhao’s research bridges the critical gap between software performance engineering and human-robot interaction, demonstrating a rare versatility across computing disciplines. Her most cited work, “Evaluation of Dynamic Binary Instrumentation Approaches” (2018), provides a foundational comparison of dynamic binary translation versus dynamic probe injection—techniques essential for program profiling, debugging, and security analysis. This contribution directly supports the reliability of software underpinning everything from web browsing to automated systems. In a striking pivot, Zhao’s 2022 study “Robot Mediation of Performer-Audience Dynamics in Live-Streamed Performances” explores how robotic agents can restore emotional intensity to remote performances. By leveraging robots’ unique social presence, her work opens new avenues for telepresence art and mediated interaction. Though early in her career, Zhao’s dual focus on low-level software instrumentation and high-level human-robot dynamics signals a researcher unafraid to tackle diverse, high-impact problems. Her work invites further exploration into how computational tools—whether binary-level or embodied—can reshape both technical systems and human experiences.
Research Focus
Key Achievements
Top Papers
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- 2