Papers
1
Total Citations
10
H-Index
1
About
Yueyue Dai is a pioneering researcher in the field of Tactile Internet (TI), focusing on the development of high-precision metrics and signal matching techniques that enable the accurate evaluation of real-time skill delivery networks. Her most notable contribution is the introduction of the MDTW (Modified Dynamic Time Warping) metric, a novel yardstick for measuring the quality of TI applications. This work addresses a critical gap in the field, as existing metric schemes often fail to capture the nuanced fidelity required for human-to-robot skill transfer. With her 2024 paper garnering 10 citations, Dai’s research is gaining traction among scholars working to standardize TI performance benchmarks. Her work is instrumental in advancing the vision of a seamless, low-latency internet that can transmit human dexterity and expertise across distances. By providing a robust framework for comparing TI systems, Dai is helping to lay the foundation for next-generation teleoperation, remote surgery, and industrial automation. Her contributions are particularly valuable for students and researchers exploring the intersection of haptic communication, signal processing, and quality of service in emerging networked systems.
Research Focus
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Top Papers
- 1