Academic / Technical Completed computational project
A reproducible computational study of image denoising and deblurring as inverse problems under controlled synthetic degradations.
Undergraduate mathematics student
Shiqing Gao.
Undergraduate student in Mathematics, The Chinese University of Hong Kong.
I am interested in applied mathematics, computational inverse problems, scientific computing, numerical methods, uncertainty quantification, and machine learning-related inverse problems. This site collects selected undergraduate computational projects and a concise academic CV.
Projects
Selected computational projects in inverse problems, UQ, and modeling.
02CV
Education, interests, projects, coursework, and technical skills.
03GitHub
Public code and small computational experiments.
04Contact
Email, GitHub, and website information.
Selected work
Selected computational projects
These are modest undergraduate computational projects. Each page records the problem, methods, outputs, and limitations in a concise public format.
Academic / Technical Completed toy numerical project
A small spectral visualization project comparing Fourier mode decay in normal diffusion and time-fractional subdiffusion on a one-dimensional interval.
Academic / Technical Completed small computational project
A reproducible regression uncertainty project using the UCI Energy Efficiency dataset to compare point prediction, interval coverage, interval width, and robustness diagnostics.
Academic / Technical Completed computational modeling workflow
A chip thermal management modeling project using surrogate models, multi-objective optimization, weight sensitivity analysis, and Monte Carlo robustness checks.
Notes and personal space
Notes and personal interests.
A small writing area and a personal interests page sit alongside the main project pages. They collect learning notes, reading thoughts, and a little context beyond technical work.
Visit writing Visit life pageThe site is a concise record of what I am currently learning by building, testing, and writing down small computational projects.