Nor Aziyatul Izni

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About

Nor Aziyatul Izni is an emerging researcher at the forefront of sustainable technology, whose work bridges artificial intelligence and environmental engineering. Her primary research focuses on intelligent waste management systems, particularly the integration of deep learning with Internet-of-Things (IoT) technologies to address pressing sustainability challenges. In her landmark 2023 paper, "Intelligent Kitchen Waste Composting System via Deep Learning and Internet-of-Things (IoT)," she tackles one of the most critical global sustainability issues: kitchen waste, a major contributor to global warming and climate change. Izni’s key contribution lies in developing an automated composting solution that replaces inefficient manual systems, using deep learning algorithms to optimize decomposition processes while IoT sensors monitor and control environmental parameters in real time. Though early in her career, her work has already garnered 15 citations, signaling growing recognition among waste management and environmental technology communities. By directly addressing the practical problems of traditional composting—such as odor, inefficiency, and labor intensity—Izni’s research offers a scalable, tech-driven pathway toward reducing landfill burden and greenhouse gas emissions. Her innovative approach positions her as a promising voice in the intersection of smart city infrastructure and circular economy solutions.