Lee Yew Chuan Michael

AI Researcher

Welcome! I'm Michael! I'm an AI research scientist with a Bachelor's degree in Computer Science from Nanyang Technological University, Singapore. Currently, I am working as an AI research scientist at DSO National Laboratories. My work is primarily focused on Research & Development in the field of AI.

  • Title: Member of Technical Staff
  • University: Nanyang Technological University (NTU)
  • City: Singapore
  • Email: michael.yewchuan@gmail.com

Education

    2020 - 2023

  • Nanyang Technological University (NTU), Singapore

    • Degree of Bachelor of Engineering (Computer Science)
    • Graduated with Honours (Highest Distinction) with an elective focus in Artificial Intelligence
    • CGPA: 4.78/5.00

    • 2016 - 2017

  • Pioneer Junior College, Singapore

    • Physics, Chemistry, Mathematics, Economics, 4H2
    • Rank point: 88.75/90

Publications

Journal Publications

Projects

Evaluation of Transformers on Sentiment Analysis for Movie Reviews

To study the performance of different Transformer architectures for the task of Sentiment analysis of Movie Reviews;

  • Studied various Transformer architectures.
  • Designed a hybrid Transformer architecture involving BERT and BiLSTM.
  • Highlighted the importance of explainability in the field of AI.
  • Demonstrated the need to consider potential Adversarial attacks on Deep Learning models.

Click here to access the code
FIFA World Cup Qatar 2022 Predictor

A fun project that attempts to predict the winner of the 2022 World Cup.

  • Utilised decision trees.

Click here to access the code
EverydayFit, a mobile application for your personal fitness

EverydayFit is a mobile application developed using the MERN stack. It was developed for a module I took whilst I was a year 2 student at NTU. The topic my team and I decided to tackle was encouraging fitness among the Singapore public. In recent times, Singaporeans are living increasingly sedentary lifestyles, which is harmful and detrimental to one's health in the long run. To this end, we decided to build EverydayFit, a fitness companion mobile application that allows one to plan and track their fitness activities. This is in hopes of making exercising more convenient;

  • Applied the MERN stack framework. MERN stands for MongoDB, Express, React, and Node.
  • Designed a scheduler to allow one to plan their exercise plan.
  • Developed a notification system that is based on the NEA weather API.

Click here to access the code