2025-08-262025-08-26http://hdl.handle.net/20.500.11861/24611I'm Ruiwu Niu, a researcher passionate about interdisciplinary work in epidemiology, complex networks, applied mathematics, and nonlinear systems. I earned my PhD in computational mathematics at Wuhan University. I investigate epidemic processes in metapopulation networks and clustered behaviors in weighted directed flow networks. My track record includes 13 papers in SCI journals, with 9 as the first author, garnering 233 citations. Since 2020, I've led a National Natural Science Foundation project on "Spreading and Diffusion in Multilayer Complex Networks." During the COVID-19 pandemic, I contributed to three studies on disease transmission and accurately predicted the trend of Hong Kong's 2020 outbreak. I've also taught engineering mathematics at Shenzhen University, where I enjoyed sparking students' critical thinking and problem-solving skills. I'm passionate about cross-disciplinary research and eager to make a meaningful impact in disease epidemiology and network dynamics, bringing tangible value to academia and society.Complex networksMathematical epidemiologyMachine learningNonlinear dynamics