The Global Undergraduate Awards 2021

Name of the competition: The Global Undergraduate Awards 2021

About the competition: The Global Undergraduate Awards is the world’s leading undergraduate awards programme which recognises top undergraduate work, shares this work with a global audience and connects students across cultures and disciplines.

Date of the competition: 13 September 2021

Achievement: 2021 Global Winner (Computer Science Category)
Prize: Thomas Clarkson Gold Medal, Certificate and Publication on The Undergraduate Library
REP Student: Chen Sihao
Product/Proposal: Learning to See in the Dark - Low Light Image Enhancement
Description: The project explored deep learning methods in enhancing images taken in poor lighting conditions.  It had been selected as the highest performing entry in the Computer Science category which was the first time ever that a NTU student won the Global Winner in the Computer Science category.

Achievement: Highly Commended 2021 (Computer Science Category)
Prize: Certificate and Publication on The Undergraduate Library
REP Student: Ang Wan Qi
Product/Proposal: Hierarchical Multi-Agent Reinforcement Learning with Options in StarCraft II
Description: This project explored the hierarchical reinforcement learning (HRL) methods such as the options framework to achieve temporal abstraction of actions. A novel algorithm named COMA-OC was proposed to train the decentralised agents in StarCraft II’s micromanagement scenarios against an enemy army.

Achievement: Highly Commended 2021 (Engineering Category)
Prize: Certificate and Publication on The Undergraduate Library
REP Student: Chua Hui Shun
Product/Proposal: Dynamic Flexible Job Shop Scheduling Using Double Deep Q-Network (DDQN)
Description: This project explored the use of a DDQN-based approach to solve the DFJSP with new job arrivals. It aimed to minimise the total tardiness of the jobs at the flexible job shop