SUKRAKARN SUPALERT,(MSc.)
Theoretical/Mathematical Physics Researcher |
Global Korea Scholar 2020 Alumni Department of Physics, Hanyang University, Seoul, South Korea
About Me
English: Hi ~ Thank you for visiting my site. I am Supalert, but please call me ART. I am a former theoretical physicist who decided to change my career path from academia to industry. When I was a physics student and researcher I was interested in a frontier physics called gauge/gravity duality, a tool that bridge between strongly correlated quantum systems with weak-coupled Einstein's gravity theory. You probably heard about String theory that is it!! Currently, I move my interest into solving real-life and buissiness problems by using mathematics and the interpretation skills from physics. This is nothing other than a framework of data science and research analyst. Since begining of this year, I have been studying automation,computer vision, and ML/DL myself and applied them on a business and it is working very well. So, in term of scholar, I very enjoy learning the fastinating algorithm in ML/DL. At the same time.
Current Interests
- Glass-box mechine learning
- Computer vision
- Long-term investments
- Data driven business
Highlight Academic Projects
Employment
(August 2023 - present)
Research Fellow, Hanyang University, Strings and Manybody Research Group:- Conducted theoretical research to classify spectral features of strongly coupled systems near the quantum critical regions, using Gauge/Gravity Duality.
- Developed numerical methods with multi-processing to calculate spectral density, achieving a 10x reduction in both running time and memory allocation. (Python, Julia, Mathematica)
- Developed numerical methods with multi-processing to calculate topological quantity dealing with huge-lifting calculus operators and high-rank tensors, achieving a 300x reduction in running time. (Python, Julia, Mathematica)
- Published an academic paper in the Journal of High Energy Physics, an international journal with a high impact factor (1st percentile journal). Journal of High Energy Physics 2024(6):1-36.
- Built a computer vision application to accurately extract colors of fashion products from poorly collected input pictures.
- Built a deep-learning prediction model to classify types of products from poorly collected input pictures.
- Designed and implemented an inventory management system integrating computer vision and deep-learning models.
- Achieved an 80-95% reduction in inventory management time through innovative system development.
Education
Master's Degree of Science, Department of Physics, Hanyang University, South Korea- Full-funded Scholarship, sponsored by Korean Government
- Thesis title: Symmetry breaking effect in holographic fermions
Bachelor's Degree of Science, Department of Physics, Mahidol University, Thailand- Best Senior Project Award, Thai Physics Society 2019
- Thesis title: Perturbative quantum gravity with application to non-interacting dark matter annihilation
IT and Data Science Skills
Computational Languages
3++ years experience
half - 1 year experience
Learning
Workflow/Hosting/Tools
half to 1 year experience
Learning
Computer Vision, ML/DL
half to 1 year experience
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- Rembg API (Remove Background)
Academic Interests / Expertise
Gauge/Gravity Duality, Quantum Field Theory, Condensed Matter Physics, Quantum Mechanics
- Advanced Linear/Tensor Algebra
- Linear/Non-linear Differential Equations Solving
- Complex Analysis
- Differential/Curved Geometry
- Solid state/ Superconductors /Semiconductors/ Band Theory
- Topology of Matters