Julius Marpaung
Papers
1
Total Citations
2
H-Index
1
About
Julius Marpaung is an educator and researcher at the intersection of embedded systems, robotics, and engineering pedagogy. His work focuses on integrating advanced hardware platforms—particularly FPGA-based system-on-chip (SoC) technology—into the classroom to bridge theoretical concepts with hands-on design. In his most cited paper, "Integrating Machine Learning with MATLAB and Simulink in an Introductory Robotics Class" (2020), Marpaung demonstrates how SoCs can boot Linux or serve as platforms for Simulink logic models, enabling students to deploy machine learning algorithms directly onto robotic hardware. This contribution is central to his broader mission: transforming how electrical and computer engineering students learn embedded design. At Northeastern University, where he teaches the course Embedded Design: Enabling Robotics, Marpaung has developed curricula that empower students to move from simulation to real-world implementation. Though his citation count is still growing, his impact is felt in the classroom, where he equips the next generation of engineers with the tools to build intelligent, embedded systems. His work exemplifies a hands-on, project-driven approach to engineering education.
Research Focus
Key Achievements
Top Papers
- 1