Md Whaiduzzaman
Queensland University of Technology, Torrens University Australia
Papers
3
Total Citations
24
H-Index
2
About
Md Whaiduzzaman is a researcher at the forefront of Internet of Things (IoT) and robotic automation, with a focus on creating intelligent systems that bridge the gap between digital sensing and real-world interaction. His key research areas include IoT-based object tracking, assistive robotics, and automation for service industries. Whaiduzzaman’s major contributions include the development of "Trackez," an IoT-based system that uses a Mez and Few-Shot Learning (FSL) algorithm to track 3D objects from 2D pixel matrices, addressing a fundamental challenge in computer vision—the absence of depth in standard imaging. This work has garnered 12 citations since 2023. He also designed a low-cost, posture-controlled robot for disabled and virus-affected individuals, which interprets hand signals via a Raspberry Pi camera and Bluetooth control, earning 10 citations. Most recently, his "RoboServe" project introduces a robotic agent for food service in restaurants, tackling the complexities of human-centric automation. Whaiduzzaman’s work is notable for its practical, low-cost solutions that enhance accessibility and efficiency, making him a rising figure in applied IoT and robotics.
Research Focus
Key Achievements
Top Papers
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