S.M. Forbes
Papers
1
Total Citations
2
H-Index
1
About
S.M. Forbes is a researcher whose work has centered on the application of parallel computing architectures, particularly transputers, to a diverse range of signal processing and control problems. Forbes’s major contributions lie in demonstrating how parallel algorithms can be effectively deployed for sensor signal processing, including applications in speech processing, communications, medical 3-D feature detection, and remote sensing. Their most cited work, a proceedings paper from the Third International Conference on Applications of Transputers (1991), has garnered 2 citations and serves as a key reference for early research in parallel computing environments. This work also explores the use of transputers in robotics, instrumentation, control systems, ECAD tools, simulation, and discrete event simulation. While the citation count is modest, the breadth of applications covered in Forbes’s research highlights a pioneering effort to harness parallel processing for real-world engineering challenges, laying groundwork for later advances in embedded and high-performance systems.
Research Focus
Key Achievements
Top Papers
- 1