Daphne Teck Ching Lai


Lecturer, Faculty of Science and Director, Institute of Applied Data Analytics



Daphne Lai is a Computer Science Lecturer at the Faculty of Science, Universiti Brunei Darussalam. Her research interests lie in the areas of Data Mining, Artificial Intelligence and Metaheuristics. In recent years, she has been investigating on improving techniques for cluster analysis using evolutionary algorithms and machine learning. She is collaborating with researchers in several disciplines of health care, particularly cancer registry and cardiac rehabilitation, in geology and in traffic driving.

Daphne is currently lecturing in Programming Fundamentals, Computer Programming and Data Mining.

For postgraduates
There are vacancies for interested local and international Masters & PhD candidates with numerous proposed projects listed below. Please kindly email me your research proposals, academic transcripts, and publications.

Scholarships are available for eligible applicants. Please go to: http://www.ubd.edu.bn/admission/scholarships.html
Kindly note admissions deadline for the respective intakes:
August intake - 28th February (Opens end of Dec)
January intake - 31 July (Opens end of May)


BSc in Computer Science, University of Strathclyde, UK (Thesis: Elliptic Curve Cryptography)
MSc in Distributed systems and Networks, University of Kent, Canterbury, UK. (Thesis: Economy of Stable Job Scheduling in Grid Computing Systems)
PhD in Computer Science, University of Nottingham, UK (Thesis: An Exploration of Improvements to Semi-supervised Fuzzy c-Means Clustering for Real-World Biomedical Data.)


Data Mining
Cluster Analysis
Artificial Intelligence
Evolutionary Computation
Machine Learning
Natural Language Processing


Machine Learning and/or Data Mining

We study and investigate in following machine learning algorithms: 1) Evolutionary methods for unsupervised/semi-supervised clustering 2) Metric Learning algorithms, similarity measures 3) Model-based techniques 4) Time-based clustering algorithms 5) Computer Vision algorithms With applications into 1) Clinical/Medical Data 2) Geology (Source Rock Characterisation; Raw Water Quality Analysis; Geochemical Atlas) 3) Material Science 4) Biology etc

Applications Invited
MSc or PhD

Modelling and Identifying Driving Patterns of Brunei Drivers.

The main aim of this research project is to study the driving patterns of drivers in Brunei using time-series simulation and sensor data and machine learning techniques, identifying extensively detailed driving parameters thereby helping drivers to improve road safety.

Applications Invited

Natural Language Processing and Text Mining

The main objective of this study is to develop a framework for identifying patterns in text. Based on the built model, we apply prediction techniques on textual data. This can be applied to various domains such as advertisement, management, social studies, medicine, education, etc.

Applications Invited
MSc or PhD

Scopus Publications


Google Scholar Citations


Google Scholar h-index


Google Scholar i10-index

Scopus Publications


[1] An Effective and Efficient Constrained Ward’s Hierarchical Agglomerative Clustering Method, AA Aljohani, EA Edirisinghe, DTC Lai, Proceedings of SAI Intelligent Systems Conference, 590-611
[2] Semi-supervised data clustering using particle swarm optimisation, DTC Lai, M Miyakawa, Y Sato, Soft Computing 2019. https://doi.org/10.1007/s00500-019-04114-z
[3] Integrated TOC prediction and source rock characterization using machine learning, well logs and geochemical analysis: Case study from the Jurassic source rocks in Shams Field …, MR Shalaby, N Jumat, D Lai, O Malik, Journal of Petroleum Science and Engineering 176, 369-380, 2019
[4] Population Based Lifetime Risk Estimation Of Malignant Cancers In Brunei Darussalam, SK Ong, F Alikhan, DTC Lai, A Abdullah, K Othman, L Naing, Brunei International Medical Journal 14, 92-101, 2019
[5] Comprehensive Cardiac Rehabilitation Programmes Improves Quality Of Life And Exercise Tolerance In Low Risk Cardiac Patients, SK Jong, DTC Lai, CF Chong, SK Ong, CL Chong,
Brunei International Medical Journal 14 (1), 17-27, 2018


1) Grant Number: URG 311, Project Title: Exploring metaheuristics in a semi-supervised fuzzy c-means (ssFCM) clustering framework applied on biomedical data, Investigators (PI/Co-PI): Daphne TC Lai, Funding Details: BND 9,231, Start Date: 01/03/2015, End Date: 29/02/2018


1. Best Abstract and Best Poster for The Cardiac Society of Brunei Darussalam’s (CSBD) second Annual Scientific Meeting 2015, Brunei for work titled: EVALUATE THE EFFECT OF LONG-TERM COMPREHENSIVE CARDIAC REHABILITATION IN CORONARY ARTERY DISEASE: A COHORT STUDY by authors: SK Jong, DTC Lai, SK Ong and CL Chong.
2. 2018 Hosei International Fund (HIF) Foreign Scholars Fellowship


Consultancy in Artificial Intelligence, Data Mining and Machine Learning is available.
Interested parties may email at daphne.lai[[AT]]ubd.edu.bn
Happy to chat on the application and potential of AI, DM and ML to businesses/industries.

Previous consultancy:
1. PHP 5 for Ministry of Development staff (16 – 18 and 23 – 26 March 2009)
2. FLOSS for local and CLMV (Cambodia-Laos-Myanmar-Vietnam) teachers and system administrators under the Initiative for ASEAN Integration Programme (3 - 5 March 2009)
3. Cascading Style Sheets for Ministry of Development staff (24 - 25 February 2009)
4. Trainer in Linux Software Development (FLOSS training) for Teachers and Ministry of Development staff (June 2007 and March 2008)

Industry, Institute, or Organisation Collaboration

Current Projects
- Data Analysis using LiDAR data (Aug 2019 - present)
- Evolutionary Computation algorithms with Hosei University, Japan; PSOs & MOEAs (Apr 2018 - present)
- Applying ML techniques with Geology@UBD; source rock characterisation and TOC prediction (Sep 2017 - present)
- Applying Machine Learning techniques on National Health Survey data with Ministry of Health (Aug 2017 - present)
- Applying Machine Learning techniques to study driving behaviours collected from simulation (Aug 2017 - present)
- Semi-supervised hierarchical clustering with University of Loughborough, UK (Feb 2016 - present)
- Metaheuristics in semi-supervised Fuzzy c-means (Mar 2015-present)
- Data Analytics of Cancer Registry with Ministry of Health (Aug 2014 - present)

Past Project:
1) 2) Evaluate Effects of Cardiac Rehab Programme with MOH (Jun 2014 - Sept 2017)
2) Semi-supervised Fuzzy c-Means clustering methodologies for Real-World Biomedical Data with University of Nottingham (Oct 2010 - May 2014)


AI and Machine Learning has been widely applied in the field of medicine, agriculture, education, logistics, ecology, retail and so forth. By learning from data, we can find hidden patterns and create useful models to be used for prediction. This has provided decision-support or additional insights to domain experts and a means towards automation, bringing about advancement in the domain areas, as well as technology and knowledge economy creation.