Incoming Graduate Student · Researcher · Educator
I am an incoming graduate student in the Master in Advanced Computing program at Tsinghua University, passionate about artificial intelligence, computer science, and teaching. My research interests lie in physical AI and neuro-symbolic concepts and reasoning. I am always open to collaboration and teaching opportunities. Students interested in discussing career plans, computer olympiad preparation, or research ideas are welcome to reach out and schedule a meeting.
Latest
Teaching computer olympiad preparation at Rayongwittayakom School.
Awarded a full scholarship from the Chinese Scholarship Council (CSC).
Admitted to the Master in Advanced Computing program at Tsinghua University.
Received pre-admission to the Master in Advanced Computing program at Tsinghua University.
Teaching computer olympiad preparation at Rayongwittayakom School.
Publications
Noparat Phongthakun, Akarapon Watcharapalakorn, None Wanitchollakit, Borworntat Dendumrongkul, Pana Wanitchollakit, Chayanin Kongsareekul, Sunisa Rimcharoen, Nutthanon Leelathakul
ECTI-CIT 2025
Experience
Jul 2024 – Jun 2025
Implemented Neural Matrix Factorization with PyTorch for a stock recommendation system, achieving a 90% hit rate. Built SVM models to predict customer asset recovery likelihood. Applied Generative AI (Gemini API) to match car models across appraisal systems, improving accuracy from 40% to 64%. Automated product tracking workflows using SharePoint, Microsoft Access, and Power Automate.
Nov 2024 – Present
Converted ECG waveform images into time series signals using DBSCAN-based line extraction. Applied normalization techniques to prepare signals for downstream analysis. Supporting prediction tasks including age and sex classification from ECG data, leveraging a large-scale pre-trained model.
Jun 2024 – Oct 2024
Developed XGBoost models to predict crime counts per subdistrict, improving model accuracy by reducing RMSE. Applied association rule mining to extract significant crime patterns from large datasets. Performed clustering to group provinces with similar crime characteristics.
Jun 2023 – Aug 2023
Developed predictive models for car loan and auto cash installment payments, achieving 98% accuracy with XGBoost. Applied time series k-means clustering to segment customer contracts by payment behavior. Cleaned and processed data using Pandas, and visualized trends with Matplotlib and Tableau.
Education
2026 – Present
Incoming graduate student in the Master in Advanced Computing program. All courses taught in English, covering machine learning, big data, human-computer interaction, and advanced topics in computer science.
2020 – 2024
Graduated with First-Class Honors. Focused on data science, pattern recognition, and neural networks. Capstone project on AI-based car appraisal using computer vision and machine learning techniques.
Teaching
July 2026
Volunteer tutoring for computer olympiad qualification (camp 1) alongside Sean Wanitchollakit (IOI silver medalist). Provided structured problem sets and mentoring for high-school students preparing for the computer olympiad.
July 2026
Guest lecturer for computer olympiad preparation (camp 1) alongside Akarapon Watcharapalakorn and Chayanin Kongsareekul. Covered essential mathematics, basic Python programming, and basic algorithms for solving pseudocode problems with high-school students.
August 2025
Guest lecturer for computer olympiad preparation (camp 1) alongside Pana Wanitchollakit. Taught essential mathematics, basic Python programming, and basic algorithms for solving pseudocode problems to high-school students.
June 2025
Organized and led an introductory workshop and lecture on artificial intelligence and machine learning for middle-school students, covering fundamental concepts and hands-on exercises.