Seung Min Park
Papers
6
Total Citations
100
H-Index
4
About
Seung Min Park is a pioneering researcher whose work bridges the critical gap between biomedical imaging and brain-computer interface (BCI) technologies. Her most impactful contribution, a 2020 study on real-time surgical margin assessment using ICG-fluorescence during laparoscopic and robot-assisted resections of colorectal liver metastases (71 citations), addresses a life-or-death clinical challenge: nearly one-third of curative liver resections result in tumor-positive margins. By leveraging near-infrared fluorescent imaging, Park’s work offers surgeons a real-time tool to reduce this risk, directly improving patient outcomes in oncology surgery. Earlier in her career, Park made foundational contributions to BCI systems, exploring optimal EEG channel selection using binary particle swarm optimization and genetic algorithms, and analyzing EEG changes during varying hand grip force levels for robotic arm control. Her research also delved into hybrid models of hidden Markov models and Gaussian mixture models for mirror neuron system modeling, and practical BCI technologies combining motor imagery with P300 signals for robot control. Park’s work is notable for its translational ambition—moving from theoretical EEG analysis to clinically applicable surgical tools—demonstrating a rare ability to impact both the operating room and the rehabilitation clinic.
Research Focus
Key Achievements
Top Papers
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