My Multiverse

Ph.D. / CISA / PMP

Research Scientist

E-mail: sangwook236 (at) gmail (dot) com

As a Researcher

We can make the world a better place
- We can make AI help us make the world a better place for everyone
Science and technology that do not make people happy are not meaningful and good, at least for humanity
I always hope to be a philosopher standing at the boundary of knowledge
The most fundamental attitude required of professional researchers is to pursue rigor/rigorousness

My long-term research goal is to understand and develop the mechanisms of abstraction, imagination, and knowledge expansion of human beings.
- I aim at creating intelligent, autonomous, and ethical agents that can interact with other agents or a wide range of complex and dynamic environments through their own logical thinking processes (cognition, reasoning, understanding, learning, etc.)
Keywords: intelligence, (self) learning, autonomy, adaptation, abstraction, imagination, machine ethics

Statistical/Computational Learning Theory and Statistical Inference
- Machine Learning, Deep Learning, Reinforcement Learning
- Kernel-based Learning, Ensemble Learning, Manifold Learning

Computer Vision and Pattern Recognition
- 3D Vision, 3D Scene Reconstruction
- Object Detection, Image Segmentation, Image Processing, Feature Engineering
Language Processing
- Large Language Models (LLMs), Vision-Language Models (VLMs), Vision-Language-Action (VLA) Models
- Text Processing, Document Processing

Artificial Intelligence
- Machine/Robot Intelligence, Physical Intelligence, Decision Intelligence
- AI Agents/Assistants

Robotics and Control Theory
- Navigation, SLAM, Visual Odometry
- Vision-based Control, Robot Control, Task/Motion Planning
Machine Science and Mechanism Design
- Kinematics, Kinematic Geometry, Screw Theory, Lie Group Theory

My Open-Source Repositories (GitHub)
- Sang-Wook's Library (SWL)
  - A general-purpose library/framework for a variety of scientific and engineering problems
- Sang-Wook's Development and Testing (SWDT)
  - A rich repository of knowledge for development and testing of S/W and H/W
  - A repository of resources for research and development of S/W and H/W including ideation, conceptualization, and mathematical formulation, etc.
- Sang-Wook's Analysis Framework (SWAF)
  - An open-source project for data analysis
Open-source libraries have actively and positively been used during research and development process: PyTorch, TensorFlow, NumPy, SciPy, Boost, Eigen, GSL, OpenCV, OpenGM, etc.
My libraries and algorithms have been developed on the Linux/Unix, Windows, and Mac OS systems and can be built by major compilers such as GCC, Visual C++, and clang

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