Undergraduate Research Opportunities Program (UROP) in HKUST

Medical Flutter App

Period: 09/2022 - 12/2022
Topic: Medical AI Flutter Application
Project Title: AI meets Big Data: User Analytics and Personalized Recommendation Based on Location Data
Supervisors: Professor CHAN Gary Shueng Han, Dr Ki Kit Lai, Research Assistant Mr. Tsui Wai Lun

Flutter Dart Mobile Application Development Research

Responsibilities:

• Conducted research on the health management systems field.
• Collaborated on the development of a Flutter mobile application that aimed for enhancing communication between different medical stakeholders while enabling effective health monitoring.

Deep Learning in NLP

Period: 06/2022 - 08/2022
Project Title: Evaluation of FinBERT Performance on Multi-Class ESG Classification Task based on the MSCI Framework
Supervisors: Professor Huang Allen Hao, Professor Yang Yi, Postgraduate Students Miss Hui Wang, Postgraduate Students Mr. Srijith Kannan

Machine Learning Data Collection Data Preprocessing Python Tensorflow PyTorch Keras Naïve Bayes Logistic Regression SVM Random Forest MLP CNN LSTM Bi-LSTM GRU BERT FinBERT ESG

Responsibilities:

• Performed data collection and data preprocessing for machine learning by executing ESG labeling.
• Fine-tuned 11 machine learning models for performance evaluation using Tensorflow and PyTorch, which include:
  1. Naïve Bayes
  2. Logistic Regression
  3. Linear Support Vector Machine (SVM)
  4. Random Forest
  5. Multi-Layer Perceptron (MLP)
  6. Convolutional Neural Network (CNN)
  7. Long Short-Term Memory (LSTM)
  8. Bi-directional Long Short-Term Memory (Bi-LSTM)
  9. Gated Recurrent Unit (GRU)
  10. Bidirectional Encoder Representations from Transformers (BERT)
  11. FinBERT - A Large Language Model (LLM) newly developed for financial context

AI-Based Thermal Comfort Sensing

Period: 06/2020 - 08/2020
Project Title: Application of AI-based Technique to Enhance Thermal Comfort Sensing for Smart Air Conditioner
Supervisors: Professor LEE Yi-Kuen, Mr. Ishtar

Machine Learning Data Collection Tensorflow Python Human Activities Classification

Responsibilities:

• Conducted data collection using an Android application equipped with accelerometer and gyroscope sensors for capturing human activities data.
• Conducted research on Machine Learning and experimented with training a machine learning model for human activities classification using Tensorflow and Python.