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About

Screenshot

Who Am I?

Geol Choi (ph.D) / 최걸 / Alex Choi Data Scientist / Deep Learning Professional / Research Scientist

Contacts

Work Experiences

Vision Solution Engineer, COGNEX (2017.12 ~ Present)
Data Scientist & Software Engineer, ALPINION MEDICAL SYSTEMS (2014.06 ~ 2017.11)
Computer Graphics Researcher, CJ POWERCAST (2012.04 ~ 2014.03)
Computer Vision & VR/AR Researcher, ETRI (2010.04 ~ 2012.03)

Research Experiences

Computer Vision Researcher @Mixed and Augmented Reality Solutions Team, COOPERATION SYSTEMS Dept., Fraunhofer FIT (2010.07 ~ 2010.09)
Computational Mechanics Center for Ubiquitous MEMS and Micro Engineering, National Institute of Advanced Industrial Science and Technology (2006.03 ~ 2006.08)

Education

Nano Degree
- Data Science Methodology, Coursera (IBM), 2021
- Tools for Data Science, Coursera (IBM), 2020
- What is Data Science?, Coursera (IBM), 2020
- Deep Neural Networks with PyTorch, Coursera (IBM), 2020
- Reasoning, Data Analysis and Writing (Duke Univ.), 2016
- R Programming, Coursera (Johns Hopkins Univ.), 2014
Ph.D, Mechanical Engineering Dept. from KAIST, 2010
BS, Mechanical Engineering Dept. from Chung-Ang Univ., 2003

Interests

General Machine Learning & Deep Learning
Convolutional Neural Networks (CNN)
Deep Generative Models (GANs)
Computer Vision / Machine Vision / Visual Recognition
Data Science / Data Analytics / Data Visualization
Computer Graphics
Realtime Web Applications
Scientific Computing / Parallel Computing

Languages

Korean: Native
English: Proficiency
German: Intermediate
Japanese: Basic
Chinese: Novice(HSK Level3)

Skills

Machine & Deep Learning

Related Theories and Algorithms: Probability, Statistics, Optimization, etc.
Multi-layer Perceptron
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
Generative Models (GANs, VAEs)

Deep Learning Frameworks (Order of Frequently Used Frameworks)

PyTorch / PyTorch Lightning / Detectron2 / OpenMMLab
TensorFlow / Keras
CNTK
MXNet with Gluon

Data Science

Python(pands)/R
SQL/NoSQL
Data Wrangling
Data Analytics
Data Mining
Data Visualization (matplotlib, ggplot, plotly, bokeh, etc.)

Database (Order of Frequently Used Tools)

MongoDB
PostgreSQL
MySQL
Firebird

Programming Languages (Order of Skillful Languages)

C/C++
Python
R
JavaScript
C#
Matlab
Java

Computer Vision

General Image Processing Algorithms (filters, etc.)
Conventional & Deep Learning based CV Theories & Algorithms
Object Detection
- Algorithms: YOLO, SSD, R-CNN, Fast R-CNN, Faster R-CNN, Selective Search, FPN, etc.
- Tools: Detectron2, TensorFlow Object Detection Module
Segmentation: Mask R-CNN, FCN, U-Net, etc.
Mixed Reality / Augmented reality
OpenCV (C++ / Python / C#)

Cloud Computing

Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Google Colab (Social Coding)

Web Development

Basic Web Document Concepts: HTML5 / CSS / JavaScript
Server-side: Node.jS, PHP
Client-side: ReactJS, AngularJS, jQuery
Other Web Technologies: WebGL / WebRTC / WebSocket
Web Frameworks: React

Scientific Computing

CUDA Parallel Computing
Realtime Fluid Simulation
Finite Element Analysis (FEA)
Boundary Element Analaysis (BEA)

Computer Graphics

General Computer Graphics Theroies & Algorithms
Rendering Theories: Global Illumination, Path Tracing, Ray Tracing
Particle Simulation
Tools: Maxon Cinema 4D, Adobe Photoshop & AfterEffects, NextLimit RealFlow, SideEffects Houdini, E-on Software Vue

Publications

Doctoral Thesis

Isogeometric Analysis Based on Boundary Element Method, 2010, Thesis Ph.D., KAIST

International Conferences

Application of Isogeometric Analysis to Shape Optimal Design of Thermal Problems, 8th World Congress on Structural and Multidisciplinary Optimization, Lisbon, Portugal, 2009.
Structural shape optimization based on isogeometric analysis with control weights, International Congress of Theoretical and Applied Mechanics, Adelaide, Australia, 2008.
Structural shape optimization using shape design sensitivity of NURBS control weights, CJK-OSM 5, Cheju, Korea, 2008.
Structural shape optimization using extended finite element method on boundary representation by NURBS, 7th World Congress on Structural and Multidisciplinary Optimization, Seoul, Korea, 2007.
Imposing essential and natural boundary conditions on geometric boundaries for X-FEM, CJK-OSM 4, Kumming, China, 2006.

Student Symposium

Bone growth simulation based on topology optimization, KAIST-Michigan Univ. Joint Symposium, University of Michigan, Ann Arbor, USA, 2006.

Articles

Realtime Fluid Simulation Using Massively Parallel Computing with CUDA, 2013, CJ POWERCAST Research Aritcles