Supervision
PhD
- Abeer Aljohani (Loughborough University, UK , 2019): An exploration of methodologies to improve semi-supervised hierarchical clustering with knowledge-based constraints (Co-supervision with Prof Eran Edirisinghe)
- Soni Karri (Universiti Brunei Darussalam, 2022): Classification of Driving Behaviour Using Machine Learning Methods at Signalized Intersections in Urban and Suburban Roads (Co-supervision with Prof Liyanage Chandratilak De Silva (FIT) and Dr Yong Shiaw Yin (FOS))
- Usman Sammani Sani (Universiti Brunei Darussalam, 2023): Path loss prediction for multiple terrains and communication networks using satelite image processing and machine learning techniques (Co-supervision with Dr Owais Malik (SDS))
- Silviu Acaru (Universiti Brunei Darussalam, 2023): Hydrothermal Liquefaction and Machine Learning: Transforming Biomass Waste into Resource for a Circular Economy (Co-supervision with Dr Lim Ren Chong (CAMES) and Dr Rosnah Abdullah (FOS))
- Ahmad Fathan Hidayatullah (Universiti Brunei Darussalam, 2023): Language Identification for Indonesian-Javanese-English Code-Mixed Text (Co-supervision with Dr Rosyzie Apong and Dr Atika Qazi)
- Parham Hadikhani (Universiti Brunei Darussalam, 2024): Particle swarm optimization clustering framework for end-to-end Autonomous Recognition of Human Activity based on Multiple objectives (PARHAM) (Co-supervision with Dr Ong Wee Hong and Prof Nadimi Shariki (Islamic Azad University of Najafabad, Iran))
- Kalinaki Kassim (Universiti Brunei Darussalam, 2024): Spatiotemporal Analysis Of Tropical Landscapes Using Deep Learning-Based Semantic Segmentation Models And Satellite Imagery (Co-supervision with Dr Owais Malik)
- Zaharaddeen Karami Lawal (Universiti Brunei Darussalam, 2025): Integrating Physics-Informed Neural Networks and Time Series Models for Forecasting Spatiotemporal Dynamics (Co-supervision with Dr Hayati Yassin (FIT) and Dr Azam Che (Sunway University))
- Oluwakemisola Onifade (Universiti Brunei Darussalam, 2025): Assessment of Watershed Vulnerability and Pollution Changes in Brunei River (Co-supervision with Dr Stefan Godeke (FOS) and Dr Norazanita Shamsuddin (FIT))
Masters
- Usman Khalil (Universiti Brunei Darussalam, 2019): Profiling Obese Subgroups in National Health and Nutritional Status Survey Data using Machine Learning Techniques – A Case Study from Brunei Darussalam (Co-supervision with Dr Owais Malik)
- Afiqah Basheer (Universiti Brunei Darussalam, 2022): A Comparative Study of Multi-Objective Functions in MOEA/D and Their Effects on Fuzzy Clustering
- Wan Mohammad Faris Zaini (Universiti Brunei Darussalam, 2024): A systematic approach to identifying technological trends related to chitin and chitosan using three-window analytics (Co-supervision with Dr Lim Ren Chong (CAMES))
- Wafi Shamdi (Universiti Brunei Darussalam, 2024): Artificial Intelligence Development In Islamic Governance: A Conceptual Analysis Co-supervision with Dr Anshari Ali (IPS)
- Nur ‘Izzah Amal Afiqah Binti Hamdani (Universiti Brunei Darussalam, 2024): Using remote sensing to map and explain the distribution pattern of A.mangium along a new highway in Brunei Darussalam (Co-supervision with Prof Ferry Slik (FOS))
- Christopher Ijok (Universiti Brunei Darussalam, 2026): Investigating Image Pre-Processing Techniques for Identifying Acute Ischemic Stroke (Co-supervision with Dr Rosyzie Apong)
- Fatoumatta Conteh (Universiti Brunei Darussalam, 2026): Securing QR Code-Based Digital Payment Methods Using Visual Cryptography and Reversible S-Box Lossless Compression (Co-supervision with Dr Imam Abu Bakar and Dr Rosyzie Apong)
- Muhammad Amirul Raziq Rosman (Universiti Brunei Darussalam, 2026): Self-Supervised Human Activity Recognition With Body Segmentation and B-Spline Approximation (Co-supervision with Dr Ong Wee Hong and Dr Owais Malik)
- Wallace Chin (Universiti Teknologi Brunei, 2026): Enhanced Paddy Disease Detection with Fine-Grained Image Classification (Co-supervision with Dr Wida Suhaili (UTB))
Undergraduate Final Year Project Students
- Awangku Adi Ibnu Hata'ab bin Pg Haji Annuar (Universiti Brunei Darussalam, 2008): Cellular automata audio visualization
- Dayangku Siti Nuraini binti Pg Haji Tajudin (Universiti Brunei Darussalam, 2009): Exam paper setting made easier (Finalist in BICTA competition)
- Norza'aimah Johari (Universiti Brunei Darussalam, 2010): AI PDDL Planner
- Barry King Chew Bao (Universiti Brunei Darussalam, 2015): Semi-supervised Fuzzy c-means and Pairwise Constraints
- Lim Pei Nee (Universiti Brunei Darussalam, 2016): Exploring Data Mining Techniques
- Nur Syazwina Binti Pg Hj Yasmin (Universiti Brunei Darussalam, 2016): Missing Value Imputation using Clustering Techniques (Published in Scientia Bruneiana)
- Haziqah Binti Hj Awang (Universiti Brunei Darussalam, 2017): Pattern Recognition Within Brunei Cancer Registry Using Data Mining (Collaboration with MOH Clinician)
- Hjh Ruzana Qamarina Bte Hj Abd Majid (Universiti Brunei Darussalam, 2017): Pattern Recognition Within Brunei Cancer Registry Using Data Mining (Collaboration with MOH Clinician)
- Mohammad Abdul Najib Bin Talib (Universiti Brunei Darussalam, 2018): Determining Risk Level Of Heart Disease Through Application Of Machine Learning Techniques On MOH’s WHO STEP-Based National Health Survey (Collaboration with MOH Clinician)
- Talent Chong Yee Ju (Universiti Brunei Darussalam, 2018): Modelling Obesity Through The Application Of Data Mining On MOH’s WHO STEP-Based National Health Survey (Collaboration with MOH Clinician)
- Mohammad Norhamidullah Bin Zakaria (Universiti Brunei Darussalam, 2018): Construction and Evaluation of Homemade Smartphone Spectrophotometer in Studying Beer's Law (Collaboration with Dr Jose Santos of Chemistry Dept)
- Foo Yeun Ming (Universiti Brunei Darussalam, 2019): Identifying profiles of groups of obese individuals(Collaboration with MOH Clinician)
- Emmeline Binti Gimbar (Universiti Brunei Darussalam, 2019): Website for UBD Botanical Research Center
- May Cho Xin Yin (Universiti Brunei Darussalam, 2019): Detecting Depression in Social Media using Machine Learning
- Noraisyah Binti Awang Moktal (Universiti Brunei Darussalam, 2019): FOS Discovery Year DYC/DYA/Student Portal (Co-supervision with Dr Rosyzie Apong)
- Siti Nor Hakimah Binti Haji Nayan (Universiti Brunei Darussalam, 2019): Mobile app - Colorimetric Analysis of Water (collaboration with Dr Jose Santos of Chemistry Dept)
- Alice Binti Awang Takoh (Universiti Brunei Darussalam, 2019): Identifying hate content in social media (Published at AIP Conference Proceedings, 8TH Brunei International Conference On Engineering And Technology 2021)
- Hazwani Muna Nadiah Binti Haji Nasir (Universiti Brunei Darussalam, 2019): Extracting Forest Information Using LiDAR Data (Collaboration with Soartech, Presented FYP to Soartech, AiTI Women Developers’ Showcase 2021 and MYCE 2025)
- Ahmad Akmal Ghassani Bin Yakub (Universiti Brunei Darussalam, 2021): Facies Modelling using Borehole Images and Machine Learning (Co-supervised with Dr Owais (SDS) and BSP Geologist)
- Nur Fathenah Haziqah Binti Haji Abdullah (Universiti Brunei Darussalam, 2021): Writing Style Change Analytics For Multi-Authorship Identification (Co-supervision with Dr Shariq Bashir)
- Muhammad Asyraf Sufi bin Dahlan (Universiti Brunei Darussalam, 2022): Analyzing Book Borrowing Patterns in Dewan Bahasa dan Pustaka Brunei using Apriori Algorithm (Collaboration with Dewan Bahasa dan Pustaka, co-supervision with Dr Rosyzie Apong and presented at Mid Year Conference and Exhibition 2022)
- Atiqah Nabilah binti Haji Madani (Universiti Brunei Darussalam, 2023): Traffic driving behaviour modelling using simulation data and machine learning
- Muhammad Luqman bin Mohd Jaffari (Universiti Brunei Darussalam, 2024): Brunei Driving Simulator Data Modelling (Presented at UBD Pesta Convo 2024)
- Adleen Binti Haji Abdul Mutalip (Universiti Brunei Darussalam, 2025): Predictive Analysis of Phishing Attack Trends Using Machine Learning
- Dk Nur Batrisyia Binti Pg Hj Shaifulrizal (Universiti Brunei Darussalam, 2025): Cardiac Rehabilitation Programme Analysis (Presented abstract at Brunei Cardiac Society 11th Annual Scientific Meeting 2024 and collaboration with MOH Clinician)
- Ahmad 'Afif Azhan Bin Haji Mahri (Universiti Brunei Darussalam, 2025): Sentiment Analysis on Student Internship Report (Co-supervision with Dr Rosyzie Apong)
- Nur Syirin Sukarneva (Universiti Brunei Darussalam, 2025): Studying the Impact of SDS DY Internship using NLP (Co-supervision with Dr Rosyzie Apong)
- Mohammad Aqil Akmal Bin Ahmad (Universiti Brunei Darussalam, 2025): Hyperledger-Fabric-based Healthcare Pharmaceutical Management System (Co-supervision with Dr Imam Abubakar)
- Lee Yong Peng (Universiti Brunei Darussalam, 2026): Acacia Detection and Geolocation
- Husin Nasrullah Aiman bin Mohamad Azami (Universiti Brunei Darussalam, 2026): Development of Machine Learning Model for Above Ground Biomass Estimation
- Muizzul Izaan Bin Edie Jupry (Universiti Brunei Darussalam, 2026): Grading Information System Predictive Analytics
- Gerard Ang Xiang-ern (Universiti Brunei Darussalam, 2026): Chronic Kidney Disease Classification using Unsupervised Machine Learning
- Awg Mohd Aiman Syafie @Abdul Razzaq Bin Hj Hassan (Universiti Brunei Darussalam, 2026): Predicting Patients' Renal Replacement Therapy Initiation Within 5 Years
Undergraduate Internship Students
- Danial Abdul Hakiim Bin Azmain (Universiti Brunei Darussalam, 2021): Web-based dashboard for Dewan Bahasa dan Pustaka data (Collaboration with Dewan Bahasa dan Pustaka)
- Mohd Hafiz Izzuddin Bin Haji Tejuddin (Universiti Brunei Darussalam, 2024): Development of inventory and order management system for a wedding event service provider
- Muhammad Rosme Syahmi Daniel Bin Sukaimi (Universiti Brunei Darussalam, 2024): Development of inventory and order management system for a wedding event service provider
- Muhamad Darwish Bin Haji Mohd Daud (Universiti Brunei Darussalam, 2024): Facial Recognition for Visitor Registration at the National Library (Collaboration with Dewan Bahasa dan Pustaka)
- Sandeep Sharma (IIT, Kharagpur, 2024): Acacia Tree Species Identification Using Deep Learning techniques (remote supervision)
- Jameel Azad Ahmad (IIT, Kharagpur, 2024): Traffic driving behaviour modelling using simulation data and machine learning (remote supervision and worked at SDS, UBD for 5 weeks)
- Upeksha Dilrukshi Weerasinghi (FIT, Universiti Brunei Darussalam, 2024): UBD-VT Lab Audio processing for bat species identification
- Hirusha Nirudaka Wijesena (Universiti Brunei Darussalam, 2024): UBD-VT Lab Audio processing for bat species identification
- Ayushi Sanjay Kothari (IIT, Kharagpur, 2025): Acacia Tree Species Identification Using Deep Learning techniques (remote supervision)
- Prabhat Potdar (Nutan College of Engineering and Research, 2025): Enhanced Swin Transformer with Adaptive Augmentation and Hybrid Attention for Multi-Class Flood Classification (remote supervision and published at GECOST 2025)
- Anshuman Mahabhoi (Universiti Brunei Darussalam, 2026): Applications of machine learning for diabetes detection (remote supervision, published in 2025 OITS International Conference on Information Technology (OCIT) and co-supervision with Prof Satya Ranjan Dash)
- Samreedh Bhuyan (KIIT, India, 2026): Applications of machine learning for diabetes detection, Neural Machine Translation (remote supervision, published in 2025 OITS International Conference on Information Technology (OCIT) and co-supervision with Prof Satya Ranjan Dash)
- Vaishnavi Bharti (IIT, Kharagpur, 2026): Flood detection using Google Earth Engine (remote supervision)
- Keerthi Modalavalasa (IIT, Kharagpur, 2026): Flood detection using Google Earth Engine (remote supervision)