Mi Sun Park
Papers
1
Total Citations
27
H-Index
1
About
Dr. Mi Sun Park is a leading researcher in neuromorphic computing and biologically inspired computer vision, with a focus on developing energy-efficient hardware accelerators for real-time object recognition. Her most cited work, "A Reconfigurable Accelerator for Neuromorphic Object Recognition" (2012, 27 citations), introduced a novel hardware architecture that implements the HMAX model—a computational model of the primate visual cortex—on reconfigurable platforms. This contribution demonstrated that biologically inspired approaches could outperform traditional computer vision methods in multi-class object recognition tasks while significantly reducing power consumption. Dr. Park's research bridges the gap between neuroscience and engineering, creating efficient systems that mimic the brain's visual processing pathways. Her work has influenced the design of low-power embedded vision systems and advanced the field of neuromorphic engineering. By combining insights from cortical modeling with practical hardware implementation, Dr. Park has established herself as a key innovator in the development of intelligent, brain-inspired computing systems for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1A reconfigurable accelerator for neuromorphic object recognition27 citations · 2012