GYEONGHWA HEO

Research Summary

DIRECTIONS

My research is highly multi-disciplinary at the academy's crossroads between Materials Science, Biomedical Engineering, and Artificial intelligence. I am passionate about improving the quality of life by researching materials and designs suitable for acquiring, processing, and applying brain signals.

LFP, EEG

Action Potential

Current Source Density

Scalogram

Cross-Frequency Coupling

AIS sup movie1.mp4

Human-Robot Interface

(Regression using Deep Learning)

AIS sup moive2.mp4

Braille-readable Robot

(Classification using Deep Learning)

3D printing of conductive polymer.mp4

3D-Printing of conductive polymer

(unpublished)

Electrophysiology of Organoid

(Patient-derived cardiac organoid)

(in preparation)

ACS nano sup movie1.mp4

Image segmentation & detection (Fibroblast cells)

ACS nano sup movie2.mp4

Image detection

(Hippocampal neuronal cells)

climbing soft robot.wmv

Climbing Soft Robot

(Undergraduate thesis)

Research Interests

Analysis of electrophysiology using advanced MEA

Interested in acquiring and analyzing electrophysiology in the brain and organoids using MEAs that have 3D geometry or are flexible, rather than traditional rigid, planar 2D MEAs. The goal is to investigate changes in electrical signals related to cognitive processes. Later, this could be used for drug screening and diagnosis of diseases.

Deep Learning based analysis and applications

Interested in new perspectives of analysis and applications that bring insights into traditional sensors and data (e.g., image). Using advances in AI, I focus on analyzing large-scale dataset by automating traditionally cumbersome tasks and simplifying the fabrication of sensors.

Fabrication of soft electronics

Interested in soft electronics, especially e-skins that can conformally contact a soft, curved body or be attached to a rigid robotic body to mimic human skin. I focus on the flexibility and stretchability of electrodes, geometrical engineering, mechanical stability, and conductivity under repetitive strain.

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