Research

Current projects

• Machine learning for astronomy

• Learning from noisy labels

• High-dimensional data analysis

Research group

PhD students

• Aomsap Inkongngam: Automatic Ontology Construction for Heterogeneous Data

MSc. students

• TBA

Undergrads

• Janista Tanat: Biometric access system based on face recognition

Alumni

• Taned Singlor: Multi-view Globular Cluster Detection (graduated 2024)

• Nathakit Kaewtoomla (co-supervised) working on sentiment analysis (graduated 2024)

• Yosawimon Attawong (co-supervised) worked on fabric pattern analysis

• Vasin Jinopong (co-supervised) worked on matrix factorisation for recommender systems

• Todsapol Kuntharos: Thai Characters Recognition Through Hand Movements in Real-time Video Using Deep Learning Technique on Low-powered devices   

• Parinya Punsin: Optimising Misclassification Cost for Cost-sensitive Learning on Imbalanced Datasets for Patient Diagnosis Data

• Watcharin Sarachai (co-supervised) worked on "Orchids images classification"

• Piyawat Khunsongkiat (co-supervised) worked on "Content-based Image Retrieval"

• Sangapong Punyakaew (co-supervised) -- "Reinforcement learning for stock price forecasting"

• Nida Chinudomsub -- "Learning to classify counterfeit products from unreliable data"

• Kraisorawat Punyo (co-supervised) -- "Online regression model for estimating public transport arrival times"

• Pichayanart Reerak -- "Analysis of Factors Affecting the Robustness of Convolutional Neural Network Towards Random Noisy Label"