Proposing a Sensor Fusion Technique Utilizing Depth and Ranging Sensors for Combined Human Following and Indoor Robot Navigation. - Mark Tee Kit Tsun; Lau Bee Theng; Hudyjaya Siswoyo Jo; Sian Lun Lau (ICNCC, 2016)

An Improved Indoor Robot Human-Following Navigation Model Using Depth Camera, Active IR Marker and Proximity Sensors Fusion. - Mark Tee Kit Tsun; Bee Theng Lau; Hudyjaya Siswoyo Jo (Robotics, 2018)

A multimedia solution to motivate childhood cancer patients to keep up with cancer treatment. - Carmen Chai Wang Er; Bee Theng Lau; Abdullah Al Mahmud 001; Mark Tee Kit Tsun (MMAsia, 2020)

A Survey of Digital Health Interventions for Children with Cancer. - Carmen Chai Wang Er; Lau Bee Theng; Abdullah Al Mahmud 001; Mark Tee Kit Tsun (Int. J. Serious Games, 2020)

Exploring Deep Learning in Road Traffic Accident Recognition for Roadside Sensing Technologies. - Swee Tee Fu; Lau Bee Theng; Mark Tee Kit Tsun; Brian Chung Shiong Loh (FTC (1), 2022)

Development of an Improved Occluded Person Re-Identification System Using Deep Learning. - Atiqul Islam; Mark Tee Kit Tsun; Bee Theng Lau (HPCCT, 2022)

Angular Position Estimation for Human-Following and Robot Navigation. - Isaac Asante; Lau Bee Theng; Mark Tee Kit Tsun (SGIoT, 2022)

Hybrid LSTM-Transformer Model for Emotion Recognition From Speech Audio Files. - Felicia Andayani; Lau Bee Theng; Mark Tee Kit Tsun; Caslon Chua (IEEE Access, 2022)

Increasing motivation for cancer treatment adherence in children through a mobile educational game: a pilot study. - Carmen Chai Wang Er; Lau Bee Theng; Mark Tee Kit Tsun; Abdullah Al Mahmud 001 (EAI Endorsed Trans. Pervasive Health Technol., 2022)

MoMo Strategy: Learn More from More Mistakes. - Sophia Chulif; Sue Han Lee; Yang Loong Chang; Mark Tee Kit Tsun; Kok Chin Chai; Yi Lung Then (APSIPA ASC, 2023)

How Transferable are Herbarium-Field Features in Few-Shot Plant Identification with Triplet Loss? - Sophia Chulif; Sue Han Lee; Yang Loong Chang; Mark Tee Kit Tsun; Kok Chin Chai; Yi Lung Then (APSIPA ASC, 2023)

Ultrasonic Sensors in Companion Robots: Navigational Challenges and Opportunities. - Isaac Asante; Lau Bee Theng; Mark Tee Kit Tsun; Zhan Hung Chin (AsiaSim (2), 2023)

A Preliminary Study on the Possibility of Scene Captioning Model Integration as an Improvement in Assisted Navigation for Visually Impaired Users. - Atiqul Islam; Mark Tee Kit Tsun; Bee Theng Lau; Kazumasa Chong Foh-Zin (AsiaSim (1), 2023)

Road Traffic Accident Pattern Analysis with Data Mining. - Albe Bing Zhe Chai; Bee Theng Lau; Mark Tee Kit Tsun; Chris McCarthy (iCAST, 2023)

The Bigger Picture: Scene Understanding for Recognizing Accidents within Mixed-Traffic Scenario using Deep Learning. - Fu Swee Tee; Lau Bee Theng; Brian Chung Shiong Loh; Mark Tee Kit Tsun (ICCSCE, 2023)

Occluded Person Re-Identification using Region-based Convolutional Neural Networks. - Atiqul Islam; Mark Tee Kit Tsun; Lau Bee Theng; Caslon Chua (ICHMI, 2023)

Segmentation-Based Angular Position Estimation Algorithm for Dynamic Path Planning by a Person-Following Robot. - Isaac Asante; Lau Bee Theng; Mark Tee Kit Tsun; Hudyjaya Siswoyo Jo; Chris McCarthy (IEEE Access, 2023)

Comparative analysis of regional variations in road traffic accident patterns with association rule mining. - Albe Bing Zhe Chai; Bee Theng Lau; Mark Tee Kit Tsun; Christopher McCarthy (EAI Endorsed Trans. Pervasive Health Technol., 2023)

A Multi-Stream Approach to Mixed-Traffic Accident Recognition Using Deep Learning. - Swee Tee Fu; Lau Bee Theng; Brian Chung Shiong Loh; Chris McCarthy; Mark Tee Kit Tsun (IEEE Access, 2024)

A Scoping Review on Hazard Recognition and Prevention Using Augmented and Virtual Reality. - Tauqeer Faiz; Mark Tee Kit Tsun; Abdullah Al Mahmud 001; Kwan Yong Sim (Comput., 2024)

Enhancing road safety with machine learning: Current advances and future directions in accident prediction using non-visual data. - Albe Bing Zhe Chai; Bee Theng Lau; Mark Tee Kit Tsun; Chris McCarthy (Eng. Appl. Artif. Intell., 2024)

Development of a smart incubator for microalgae cultivation in food production: A case study of Spirulina. - Albe Bing Zhe Chai; Bee Theng Lau; Irine Runnie Henry Ginjom; Mark Tee Kit Tsun; Pau Loke Show; Enzo A. Palombo (Comput. Electron. Agric., 2025)