I am currently pursuing a PhD at Southern Cross University (SCU), Australia, where my research focuses on the application of machine learning and artificial intelligence for disaster management, with a particular emphasis on flood prediction, forecasting, and risk assessment. My work aims to develop intelligent, data-driven solutions that enhance disaster preparedness, resilience, and decision-making. I have developed broad interdisciplinary research expertise spanning machine learning, data analytics, quantum-dot cellular automata, photonic crystal fiber, nanotechnology, and emerging computational technologies. My research interests lie in bridging theoretical advances with practical applications to address real-world challenges in both engineering and environmental domains. I have authored and co-authored more than 50 research articles published in high-impact international journals and conferences. My publications have contributed to advancing knowledge in artificial intelligence, disaster management, nanotechnology, and next-generation computing technologies. I am passionate about conducting impactful interdisciplinary research, fostering international collaborations, and translating scientific discoveries into practical solutions that benefit society. My long-term goal is to contribute to the development of intelligent and sustainable technologies that support disaster resilience, environmental sustainability, and technological advancement.