Group

Yuki Miura
ude.uyn@aruim.ikuy   Google Scholar   LinkedIn   X (Twitter)  

Dr. Yuki Miura is an assistant professor at the Department of Mechanical and Aerospace Engineering and the Center for Urban Science and Progress at NYU Tandon. She is also a faculty advisory board at the Volatility and Risk Institute at NYU Stern. Previously, she worked at Morgan Stanley in climate risk management and quantitative strategy. Her research is at the intersection of engineering, climate science, finance, and social sciences. She develops data-driven strategies to mitigate natural hazards and build resilient cities. By coupling advanced modeling with in-depth understanding of socioeconomic factors, she provides actionable solutions for both public and private institutions.

Noelle Law

Noelle Law is a member of the Climate, Energy, and Risk Analytics Lab and an incoming Mechanical Engineering and Urban Sciences PhD student. Her research focuses on generative AI and graph neural networks, specifically as it relates to generating physically realistic extreme event scenarios, such as storm surges. Previously she worked as a Machine Learning & Perception Engineer at the Johns Hopkins University Applied Physics Laboratory and holds degrees in computer science and engineering. She is excited to contribute to the development of trustworthy and interpretable systems that enhance climate risk assessment and resilience. To see more details about her education, experience, and contact information, please consult her website!

Matteo Benetti
LinkedIn  

Matteo is an Environmental Engineer and a visiting PhD student at CERA Lab. He is currently pursuing a PhD in Civil and Environmental Engineering at the University of Brescia, where he also completed his bachelor’s and master’s degrees. His specialization is in hydraulic engineering, and he has earned his professional qualification of Engineer. Matteo’s research focuses on the numerical modeling of urban flooding and the development of sustainable urban drainage systems. He has collaborated with water cycle management organizations in the Brescia area. His master’s thesis, titled “Analysis of the Surface Grain Size Distribution of the Blè Creek Using High-Resolution Drone Images,” was awarded in a project highlighting the territory of Valle Camonica.

Zihui Ma, PhD
Website  

Dr. Zihui Ma is a CUSP Faculty Fellow and a member of CERA Lab. She leverages AI-driven tools and big data to address challenges in natural hazards, urban resilience, and public health. Her research integrates social media analytics, geospatial analysis, and computational models to inform decision-making and optimize disaster response strategies. She currently leads projects on AI-driven resilience frameworks for hurricanes and cascading disasters like fire-induced landslides. Her work bridges AI, social sciences, and engineering, fostering collaborations across academia, government, and industry to enhance emergency response and urban planning. She holds a PhD in Civil Engineering from the University of Maryland and dual master’s degrees in Project Management and Structural/Seismic Engineering.