Albe Chai Bing Zhe

Albe Chai Bing Zhe serves as an Associate Lecturer at Swinburne University of Technology's Faculty of Engineering, Computing and Science in Sarawak, having joined the institution in 2025 while completing his PhD at the same university.

His academic qualifications include:

• Bachelor of Engineering (Hons) in Electrical and Electronic Engineering, Swinburne University of Technology, Sarawak Campus (2022)
• PhD in progress (examination stage), Swinburne University of Technology, Sarawak Campus

Dr. Chai's research bridges Internet of Things (IoT) infrastructure with artificial intelligence to solve practical problems in agriculture and transportation. His work on smart incubators for microalgae cultivation demonstrates IoT applications in sustainable food production, while his road safety research develops machine learning models for accident prediction using non-visual data sources. This interdisciplinary approach connects engineering hardware development with data science methodologies.

His 2023-2025 publications reveal a clear research trajectory: starting with foundational data mining for traffic patterns (2023), progressing to cloud-based multi-region prediction systems (2024), and culminating in integrated agricultural technology (2025). The work spans agricultural engineering, transportation safety, and embedded systems, consistently applying AI to real-world sensor data.

Professional recognition includes:

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

Dr. Chai actively seeks Master's and PhD candidates for his research areas, with supervision focusing on hands-on IoT system development and AI implementation. His examination-stage PhD status indicates he brings recent technical expertise to student projects, while his industry-aligned research suggests strong practical training opportunities. Current publications indicate active research momentum despite being an early-career academic.

Though no formal lab name is specified, his research group develops physical IoT prototypes (like smart incubators) alongside data analytics pipelines, creating an environment where students gain experience from circuit design to cloud deployment.