YEO Wee Kiang

Senior Lecturer (Educator Track)

  • Ph.D. (National University of Singapore, 2013)
  • MSc. (Nanyang Technological University, 2006)

Dr Yeo Wee Kiang, a Senior Lecturer at the National University of Singapore School of Computing, is dedicated to researching the use of technology to enhance computing education. His focus lies in leveraging Adaptive Learning and Large Language Models (LLMs) to create personalized and engaging learning experiences for students. With a doctorate from the National University of Singapore, Dr Yeo's research during his PhD delved into machine learning and data mining within a multinational pharmaceutical company. His specialization involved developing computational methods to uncover potential medicinal drug candidates. This academic journey has contributed to his belief that adaptive learning systems and LLMs have the potential to make a real difference in computing students' lives. He is passionate about using technology to improve education for all. In addition to his academic pursuits, Dr Yeo brings practical industry experience. He previously held the role of Director, Data Science at a food technology start-up. In that capacity, he led a team of Data Scientists in using Artificial Intelligence (AI) to enhance the nutritional value of food products, overseeing the development and implementation of machine learning algorithms. Dr Yeo's diverse background also includes serving as an Adjunct Lecturer in the Department of Economics at NUS Faculty of Arts and Social Sciences. From 2019 until 2023, he taught the ECA5372 Big Data Analytics module as part of the Master of Economics coursework program. His experience further extends to being a part-time lecturer at Nanyang Business School in Nanyang Technological University, where he taught Python programming and analytics to undergraduate business students. Before these roles, he held the position of Lead Instructor (Data Science Immersive) at a Continuing Education and Training (CET) provider, teaching adult learners in Hong Kong, Sydney, and Singapore. Dr Yeo also holds the WSQ Advanced Certificate in Training and Assessment (ACTA) from the Institute for Adult Learning Singapore. Dr Yeo specialises in practical, job-oriented technical training and computing education. His role focuses on areas such as data analytics, machine learning, and Python programming, aiming to equip professionals with the skills needed for success in the dynamic field of Information and Communications Technology (ICT).

RESEARCH INTERESTS

  • Application of Large Language Models (LLMs) to enhance teaching and learning

  • Development of Adaptive Learning systems to tailor the pace and difficulty of instruction

RESEARCH PROJECTS

Development of a Swarm of Autonomous AI Agents for Educational and Career Advisory Roles

This project targets the development of a swarm of autonomous AI agents, with a focus on leveraging Large Language Models (LLMs) for specific roles in the education and career advisory domains. The project involves designing and integrating three specialised AI agents: an AI Teacher, a Time Scheduler/Manager, and a Career Coach, each underpinned by advanced LLM technology.


RESEARCH GROUPS

TEACHING INNOVATIONS

SELECTED PUBLICATIONS

AWARDS & HONOURS

MODULES TAUGHT

BT4221
Big Data Techniques and Technologies
BT5151
Advanced Analytics and Machine Learning
IS5126
Hands-on with Applied Analytics