Azimah Ismail is passionate about sustainability and innovation, dedicating her research to addressing some of today’s most pressing environmental challenges. Her work explores the interactions between activated carbon, oil spill fingerprinting, microplastics, toxins, and marine ecosystems, as well as the development of eco-friendly materials and smart technologies for a greener future. With a background in manufacturing sustainability and environmental science, she combines scientific research, data-driven insights, and IoT applications to create practical solutions that benefit both industry and society. Azimah aims to inspire readers, students, and fellow researchers to see how science and technology can work hand in hand to solve real-world problems and promote sustainable development.
Hafizan Juahir is an expert in environmental modeling and data analytics, with extensive experience in applying multivariate statistical techniques to solve complex environmental problems. His research focuses on water quality assessment, pollution source identification, and the development of predictive models to support evidence-based environmental management. With a strong background in environmental science and data-driven approaches, he integrates advanced computational tools to analyze big data and generate actionable insights for policymakers, researchers, and industry stakeholders. Hafizan is passionate about advancing sustainable solutions and training the next generation of scientists to use data analytics as a powerful tool for protecting natural resources and improving human well-being.