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Mahir Habib is a software engineer and researcher specialising in microservice architectures, livestock data sharing, cloud computing and machine learning. He completed his PhD at Charles Sturt University, developing scalable approaches for livestock information interoperability. His research has appeared in Smart Agricultural Technology and Computers and Electronics in Agriculture, among outputs. Muhammad Ashad Kabir is a Professor of Computer Science at Charles Sturt University, Australia, and leads the Imaging and Sensing Research Group. His research advances artificial intelligence, machine learning, smart agriculture, computer vision, and mobile sensing. He has authored over 170 publications and has received multiple awards for research excellence. Lihong Zheng is a computing academic and applied research leader at Charles Sturt University. Her expertise spans artificial intelligence, computer vision, machine learning, robotics, IoT, and data analytics. Her research focuses on developing innovative technologies for real-world applications, particularly smart agriculture, environmental monitoring, cybersecurity, and sustainable development.
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