Rickard Stureborg
Papers
1
Total Citations
2
H-Index
1
About
Rickard Stureborg is an educator and researcher at the intersection of embedded systems, robotics, and engineering pedagogy. His work focuses on bridging the gap between theoretical control design and practical hardware implementation, particularly through the integration of machine learning with MATLAB and Simulink in introductory robotics curricula. Stureborg’s most cited paper, "Integrating Machine Learning with MATLAB and Simulink in an Introductory Robotics Class" (2020), demonstrates his commitment to hands-on, FPGA-based learning environments where students configure system-on-chip platforms to boot Linux or deploy Simulink logic models. This approach has shaped how Northeastern University’s Electrical and Computer Engineering students engage with the course "Embedded Design: Enabling Robotics," making complex concepts in real-time control and hardware-software co-design accessible. While his citation count is modest, his impact is deeply pedagogical: he has helped modernize embedded design education by lowering the barrier to entry for machine learning on hardware. Stureborg’s work exemplifies how thoughtful curriculum innovation can prepare the next generation of engineers for the demands of intelligent, autonomous systems.
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Top Papers
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