Elaine Wong

Multimedia University

Papers

2

Total Citations

6

H-Index

2

About

Elaine Wong is a researcher specializing in digital hardware design and computational systems, with a particular focus on optimizing processing architectures for robotic applications. Her work centers on the development and refinement of CORDIC (Coordinate Rotation Digital Computer) circuits — mathematical algorithms fundamental to efficient trigonometric computation in embedded and real-time systems. Wong's most notable contributions include her 2015 study introducing a low-energy, high-throughput CORDIC cell designed to enhance the performance of robotic processors, addressing critical challenges in speed and power efficiency that are central to real-time robotic operation. Complementing this, her 2013 work proposed an innovative adder and modified Look-Up Table (LUT) bit-parallel unrolled CORDIC circuit tailored specifically for mobile robot applications, demonstrating a consistent commitment to bridging hardware optimization with practical robotics use cases. While her citation counts remain modest, her research addresses genuinely important constraints in robotic system design — namely cost, size, and processing speed — areas of growing relevance as robotics becomes increasingly integrated into everyday applications. Wong's body of work reflects a dedicated focus on making robotic processors faster, leaner, and more energy-efficient through targeted hardware innovation.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Low Energy, Improved Speed and High Throughput CORDIC Cell to Improve Performance of Robots’ Processor
3 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Multimedia University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago