Seul Lee Email & Phone Number

Mountain View, Ca, Us

Stanford, California, United States

Stanford, California, United States

- Functional MRI (fMRI) application in brain: Characterization of lesion-Induced plasticity, developing data analysis methods- fMRI data acquisition/reconstruction Techniques: Reducing image artifacts with shorten scan time, developing data analysis methodsMar 2019 – Sep 2020 Cardiac gated multi-echo spinal cord functional MRI (fMRI) - Reducing cardiac related noise in spinal cord fMRI by applying cardiac gating and resolving signal fluctuation with multi-echo data acquisition - Applying Independent Component Analysis (ICA) for extra denoisingMar 2017 – Feb 2019 Hadamard encoding with 3D fMRI - Making thin slice slab acquisition possible in 3D fMRI sequence by applying Hadamard encoding/reconstruction Mar 2015 – Dec 2018 New half Fourier reconstruction in fMRI - Proposing a new reconstruction method recovering signal loss from off-resonance - Image reconstruction from under sampled data (interpolation with linear convolutional kernels to estimate missing data)Mar 2013 – Present Resting-state fMRI on TBI patient at 7T - fMRI timeseries data analysis: finding correlated/activated areas in brain images using ICA, seed-based analysis - Proposing a lesion specific data analysis method for brain with lesion fMRI Nov 2012 – Mar 2013 CZT Based PET Detector Project - Research in Molecular Imaging Instrumentation Laboratory - Event identification algorithm in CZT based PET detector

Teaching Assitantship (TAs) for EE 264 course (Digital Signal Processing)

Sunnyvale, California, United States

Data acquisition from a radar sensor, machine learning algorithm implementation to the noisy raw radar sensor data to localize and trace an object’s movement, data visualization using Python.

South Korea

- Color gamut mapping and sub-pixel rendering algorithm in RGBW pixel structure in collaboration with Nouvoyance, Inc.- Simulation for converting images for RGB pixel structure to images for RGBW pixel structure and improving contrast ratio in electrophoretic display (e-ink)- Color image processing in RGB/HSV color space for Quantum Dots LED backlight TV- Developing an optimized light guide plate for MEMS display and front light guide plate for mobile devices using optical simulation tool (LightTools) and MATLAB.- Developing new types of transmissive and reflective device by synthesizing materials in collaboration with Zikon, Inc.