Algorithm Engineer with 9+ years in analysis, design, development and implementation of medical and healthcare algorithms.
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Research Areas
Machine Learning and Deep Learning
- Computer Vision - Image Synthesis
- Arts - Style Transfer
- Medical - Cancer Diagnosis, Dementia
- Wearable Healthcare - Body Composition, Sleep Stage, Stress, Emotion
Bio Signal Processing
- Heart Rate and Heart Rate Variability
- Motion Artifact Removal
- Respiratory Rate
- Noise Removal
Medical Imaging
- Ultrasound Elastography
- Optical Coherence Tomography
Skills
Software
- Python
- MATLAB
- R
- C/C++
- LabVIEW
Machine Learning Tools
- Tensorflow
- Pytorch
- Keras
- Scikit-Learn
Database / Web / App
- SQL
- Amazon Web Service
Experience
Artificial Intelligence Research Institute / Research Engineer
JANUARY 2018 - CURRENT, GYEONGGI
Atelier
- Conducting research on developing artificial intelligence and computer vision algorithms in the domain of art
Samsung Electronics / Senior Algorithm Engineer
NOVEMBER 2014 - DECEMBER 2017, GYEONGGI
S-Patch (KFDA)
- Developed heart rate estimation, heart rate variability estimation algorithms
- Developed respiratory rate estimation algorithm
- Developed stress estimation algorithm for elite athletes
- Developed sleep stage classification algorithm
- Developed cloud service system using AWS
Body Composition Analysis
- Developed body fat, skeletal muscle mass, and body water estimation algorithm using bioelectrical impedance
Photoplethysmography (PPG)
- Developed motion artifact removal algorithm using photoplethysmography and acceleration data for wrist-type wearable band
LG Electronics / Research Engineer
JULY 2012 - JULY 2014, SEOUL
Ultrasound
- Developed software-based beamforming algorithm for ultrasound system
- Developed image processing algorithm for noise removal
Optical Coherence Tomography (OCT)
- Invented collagen estimation algorithm using polarization sensitive OCT
- Invented skin thickness measurement, wrinkle estimation, dermal density estimation algorithms for dermatology application
- Invented speckle noise reduction algorithm
Samsung Medison / Associate Research Engineer
JUNE 2007 - DECEMBER 2010, SEOUL
ElastoScanTM (FDA)
- Invented displacement and strain estimation algorithm for freehand elastography
- Invented adaptive persistence, dropout correction, and window correlation algorithms for noise removal
- Succeeded in commercialization under the name ElastoScanTM
- Application: Breast / Prostate / Gynecology
Education
Seoul National University / M.S.
2005 - 2007, SOUTH KOREA
- Area: Low-power VLSI Signal Processing
- Advisor: Prof. Wonyong Sung
- Thesis: VLSI Design of Low Power FIR Filter Bank for Digital Hearing Aids
Kyunghee University / B.S.
2001 - 2005, SOUTH KOREA
Honors and Awards
- 2002 Korea Research Foundation Scholarship - Full Scholarship
- 2003 Korea Research Foundation Scholarship - Full Scholarship
- 2004 Korea Research Foundation Scholarship - Full Scholarship
- 2005 Award for Excellent Records (GPA: 4.02/4.3)
- 2005 Seoul National University Scholarship
- 2006 Samsung Medison Scholarship
Patents
- Adaptive Persistence Processing of Elastic Images, US 8337406 B2 / EP 2189116 B1
- Dropout Correction in Ultrasound Strain Imaging, US 8503714 B2
- Providing an Elastic Image in an Ultrasound System, US 9125618 B2
- Setting an Optimal Image Parameter in an Ultrasound System, US 8834374 B2 / EP 2289420 B1
- Ultrasound Strain Imaging via Pixel Frame and Window Correlation, US 9289190 B2
Publications
- Speckle Reduction in Optical Coherence Tomography Images via Dynamic Infinite-Impulse-Response Filtering, J Lee, SS Park, JH Chung, SPIE, 2014