I have been working on functional MRI (fMRI) data acquisition/reconstruction as well as applications at Stanford University. The main role includes fMRI timeseries data acquisition/analysis, improving image quality/reducing artifacts and imaging method development. Before I joined Stanford, I had worked at LCD R&D center, Samsung Electronics as a full-time research engineer for about 7 years. I had worked on image processing, optical simulation for new types of display devices and light guide plate development at Samsung. I am interested in research engineer, software engineer, machine learning researcher positions.
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Diaplay EngineerAppleMountain View, Ca, Us -
Postdoctoral ResearcherStanford University Sep 2020 - PresentStanford, California, United States -
Phd Graduate StudentStanford University Sep 2013 - Sep 2020Stanford, 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 Assistantship (Tas)Stanford University Jun 2015 - Aug 2015Teaching Assitantship (TAs) for EE 264 course (Digital Signal Processing) -
Research InternNokia Bell Labs Jun 2017 - Sep 2017Sunnyvale, California, United StatesData 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. -
EngineerSamsung Electronics Dec 2005 - Apr 2012South 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.
Seul Lee Education Details
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Electrical And Electronics Engineering
Frequently Asked Questions about Seul Lee
What company does Seul Lee work for?
Seul Lee works for Apple
What is Seul Lee's role at the current company?
Seul Lee's current role is Diaplay Engineer.
What schools did Seul Lee attend?
Seul Lee attended Stanford University.
Who are Seul Lee's colleagues?
Seul Lee's colleagues are Bettina Hoster, Claire Choi, Judy Hanson, Asmaa Gohar, Tandy Lionesse, Murat Agdoğan, Ruth Williams.
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