Bongjin Kim
Papers
1
Total Citations
4
H-Index
1
About
Bongjin Kim is a leading researcher in energy-efficient computing and hardware acceleration, with a focus on time-domain wavefront processing for robotics and scientific simulations. His most-cited work, "A 32x32 Time-Domain Wavefront Computing Accelerator for Path Planning and Scientific Simulations" (2021), introduces a novel hardware architecture that leverages time-domain computation to achieve high throughput and low power consumption. This accelerator, implemented in both FPGA and ASIC forms, enables real-time path planning for applications such as arm-robot manipulation and autonomous navigation of battery-powered micro-robots. With 4 citations, this paper highlights Kim’s contributions to bridging the gap between algorithmic efficiency and hardware design, addressing critical challenges in robotics and embedded systems. His work is pivotal for advancing autonomous systems, particularly in energy-constrained environments. Kim’s research continues to influence the development of next-generation computing accelerators, making him a key figure in the intersection of hardware design and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1