Pusan National University, Doctoral researcher, Prof. Suck Won Hong (2021.3 - 2026.2)

• Research on neural signal analysis as part of developing and evaluating minimally invasive neural interfaces. Design and implement methods to filter brain signals, reduce noise, and extract meaningful patterns from complex electrophysiological datasets to monitor neural activity.

• Research on fabrication of e-skin that bypasses the complex processes required to the functionality of conventional e-skin through simplified fabrication and a powerful deep learning approach. Successful demonstration of human-robot interface (HRI) and tactile sensing with the proposed artificial sensory system.

• Research on quantitatively analyzing the effect of nanowrinkled graphene oxide substrates on cell behavior through deep learning-based image processing. Cell tracking and analysis of velocity, traveling distance, displacement, and orientation based on cellular behaviors of fibroblasts recorded for 3 days, as well as neurite length and angle of hippocampal neuronal cells.

University of Toronto, Sunnybrook Research Institute, Visiting student (2025.1 - 2025.6)

• Research on Prognostics for Musculoskeletal Health in Prostate Cancer Patients using AI. Radiation therapy and chemotherapy used to treat prostate cancer patients have a negative impact on the musculoskeletal system, and LLM and AI are being used to predict the prognosis of patients' bone and muscle health. 

Pusan National University, Undergraduate Researcher, Prof. Suck Won Hong (2020.9 - 2021.3)

• Research on soft robots inspired by organisms such as octopuses and caterpillars, enabling delicate movements through elastomer-based Pneu-net structures and air pump-driven pressure. The design of a soft robot structure using 3D printing and successful demonstration of a new motion called "climbing".

Pusan National University, Undergraduate Researcher, Prof. Bosung Shin (2019.12 - 2020.2)

• Research on the design and optimization of structures using CATIA software for advanced 3D modeling, combined with structural stability verification under mechanical deformation through finite element analysis performed in ANSYS software.

TA for the undergraduate Semiconductor Fabrication Lab (Ⅰ) class. (2024 spring semester)

Topics included photolithography, nanoimprint lithography, physical vapor deposition, and etching.

TA for the undergraduate Nanochemistry Lab class. (2022. 2023, 2024 fall semester)

Topics included synthesis of Au nanoparticles, ZnO nanorods, CuO nanowires, and electrospinning.

Analysis of Electrophysiology

• Filtering and denoising using wavelet transform (EEG, LFP, AP)

• Visualization of time-frequency analysis of LFP (spectrogram, scalogram)

• Detailed analysis of action potential (spike detection, inter-spike intervals, raster plot, firing rate)

• Current source density of LFP

• Cross-frequency coupling analysis (PAC, inter regional PAC)

• MATLAB programming

Deep Learning, Robotics, and Programming

• Analysis of cell images using CNN models (segmentation, detection, and classification)

• Prediction of time series data using attention-based models (classification, regression)

• Control of industrial 6-axis robot (GP7 and YRC1000micro, YASKAWA ROBOT)

• Control of robot grippers (RG2, OnRobot Gripper)

• Python programming, TensorFlow/Keras, PyTorch

Fabrication of Flexible, stretchable electronics

• Design of mechanically stretchable electronic devices

• Photolithography for electrode patterning using mask aligner

(Available photoresist: AZ GXR 601, SU-8 2002, SU-8 2000.5)

• Thermal evaporation for thin-film metal deposition

• Atomic layer deposition for dielectric layer

• Wet and reactive ion etching for structural definition on flexible substrates

• Evaluation of mechanical stability using finite element analysis software (COMSOL)

Micro/Nanopatterning Techniques

• Roll-based micro/nanoimprint lithography of UV-curable molecularly imprinted polymers

• Soft lithography using PDMS stamps for pattern replication

• Laser scribing of graphene on polymer substrates (PI and liquid crystal polymer) for flexible bioelectronics applications

Materials characterization

• Scanning electron microscopy (SEM, Carl Zeiss AG-SUPRA 25 VP, Germany)

• Atomic force microscopy (AFM, XE-100, Park Systems, Suwon, Korea)

• Raman spectroscopy (UniNanoTech Co., Yong-In, Korea)

• UV–vis spectrophotometer (Evolution 22, Thermo Scientific, U.S.A)

• Semiconductor parameter analyzer (Agilent 4156A)