Sander Stuijk
Papers
1
Total Citations
6
H-Index
1
About
Sander Stuijk is a leading researcher in the design of predictable and efficient embedded systems, with a primary focus on real-time image-based control, multiprocessor systems-on-chip (MPSoCs), and dataflow modeling. His work addresses the critical challenge of integrating complex image processing pipelines into time-sensitive control loops, where latency can compromise system stability. Stuijk’s major contributions include pioneering the concept of reconfigurable pipelined sensing, which enables image-based control systems—used in robotics, healthcare, and industrial automation—to meet stringent timing constraints by leveraging modern multi-core platforms. His 2016 paper on this topic, which has garnered 6 citations, exemplifies his ability to bridge theory and practice in cyber-physical systems. Beyond this, Stuijk has made foundational advances in the analysis and optimization of streaming applications using synchronous dataflow graphs, providing tools that allow designers to guarantee performance and resource efficiency. His work is widely cited in the embedded systems community, and he has been instrumental in developing open-source tools like the SDF3 framework, which is used globally for dataflow analysis. Stuijk’s research continues to shape how engineers build reliable, high-performance embedded systems for safety-critical applications.
Research Focus
Key Achievements
Top Papers
- 1Reconfigurable pipelined sensing for image-based control6 citations · 2016