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Staff Profile

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Albe Chai Bing Zhe

Associate Lecturer
BEng (Hons) (SUTS), MIEEE, Grad. Eng.

Faculty of Engineering, Computing and Science

Fax No:+60 82 260 813
Room No: E609
Email: [email protected]
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Biography

Albe Chai obtained his Bachelor of Engineering (Hons) in Electrical and Electronic from Swinburne University of Technology, Sarawak Campus in 2022. He is currently in the examination stage of his PhD at the same institution. He joined Swinburne Sarawak, under the Faculty of Engineering, Computing and Science in 2025. His research interests include the Internet of Things solutions, applications of Artificial Intelligence, and smart systems.

Research Interests

  • Internet of Things (IoT) Solutions
  • Artificial Intelligence and Applications
  • Smart Systems

Professional Membership

  • Graduate Engineer, Board of Engineers Malaysia (BEM)
  • Member, Institute of Electrical and Electronics Engineers (IEEE)

PhD/Master by Research Opportunities

Potential research higher degree candidates are welcome to enquire about postgraduate opportunities in the areas listed above. Please e-mail [email protected] for more information.

Publications

  • Journal Paper: Chai, ABZ, Lau, BT, Ginjom, IRH, Tee, MKT, Show, PL & Palombo, E 2025, ‘Development of a Smart Incubator for Microalgae Cultivation in Food Production: A Case Study of Spirulina’, Computers and Electronics in Agriculture, vol. 233, 110163. DOI:
  • Journal Paper: Chai, ABZ, Lau, BT, Tee, MKT & McCarthy, C 2024, ‘Enhancing road safety with machine learning: Current advances and future directions in accident prediction using non-visual data’, Engineering Applications of Artificial Intelligence, vol. 137. DOI: https://doi.org/10.1016/j.engappai.2024.109086
  • Journal Paper: Chai, ABZ, Lau, BT, Tee, MKT & McCarthy, C 2023, ‘Comparative analysis of regional variations in road traffic accident patterns with association rule mining’, EAI Endorsed Transactions on Pervasive Health and Technology, vol. 9. DOI: https://doi.org/10.4108/eetpht.9.3173
  • Conference Paper: Chai, ABZ, Lau, BT, Tee, MKT & McCarthy, C 2024, ‘R-TAP: A Cloud-Based Multi-Region Road Traffic Accident Severity Prediction Model’, 2024 IEEE Industrial Electronics and Applications Conference (IEACon), Kuala Lumpur, Malaysia. DOI:
  • Conference Paper: Chai, ABZ, Lau, BT, Tee, MKT, Ginjom, IRH, Philimon, SP, Show, PL, Palombo, E, Chua, C, Bong, PC & Lee, CK 2024, ‘Smart incubator for small-scale algae cultivation with Internet of Things’, 4th International Conference on Internet of Things and Smart City (IoTSC 2024), Hangzhou, China. DOI: https://doi.org/10.1117/12.3034987
  • Conference Paper: Chai, ABZ, Lau, BT, Tee, MKT & McCarthy, C 2023, ‘Road Traffic Accident Pattern Analysis with Data Mining’, 2023 12th International Conference on Awareness Science and Technology (iCAST), Taichung, Taiwan. DOI: https://doi.org/10.1109/iCAST57874.2023.10359286