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15 contributors · Q

Quoc Cuong Ngo

Quoc Cuong Ngo

Research Fellow, School of Engineering, RMIT University

Research Fellow, School of Engineering, RMIT University Quoc Ngo (Member, IEEE) received a PhD in biomedical engineering from the Swinburne University of Technology in 2021. He works as a Research Fellow at RMIT University, Melbourne, Australia. His research interests include software-based medical devices and artificial intelligence. Skilled in biomedical data analysis and machine learning, he is passionate about developing digital biomarkers and screening tools for disease/complications using non-invasive technologies.

1 articles
Qi Liu

Qi Liu

Postdoctoral fellow, Chinese Academy of Social Sciences

Postdoctoral fellow, Chinese Academy of Social Sciences Qi Liu is a postdoctoral researcher who explores the lived experiences of resource demand, resource consumption, and environmental change within China. Her PhD research examines the complex intersections between geothermal water, water infrastructures, and cultural norms in tourism, using transdisciplinary approaches rooted in practice theories, mobility studies, materiality research and beyond. She also investigates contentious processes and socio-environmental consequences of everyday practices, such as solid waste and human waste disposal. Before obtaining her PhD in Geography from the University of Manchester, Qi Liu pursued her undergraduate degree at Xiamen University and her Master's degree at Renmin University of China, both in sociology.

0 articles
Qi Zheng

Qi Zheng

Professor of Biostatistics, Texas A&M University

Professor of Biostatistics, Texas A&M University I began researching into the Luria–Delbrück distribution in 1998 at the suggestion of a renowned statistical distribution expert. The Luria–Delbrück distribution is a family of related distributions describing the probabilistic behavior of the numbers of mutants observed in a Luria–Delbrück experiment, which is also called the fluctuation experiment. The Luria–Delbrück distribution plays a key role in allowing microbiologists to extract information on microbial mutation rates from mutant count data generated by fluctuation experiments. I have devised an array of computational methods for the analysis of data generated by fluctuation experiments. I also made a computer package and a Web tool to help biologists analyze data from fluctuation experiments. My research results have appeared in mathematics, statistics and biology journals. My second research interest is in statistical education for public health students.

0 articles
Qian Cao

Qian Cao

Hydrologist, Center For Western Weather and Water Extremes, University of California, San Diego

Hydrologist, Center For Western Weather and Water Extremes, University of California, San Diego Dr. Qian Cao joined CW3E as a postdoctoral research scholar in 2021. Her prior research work includes examination of the role of hydrological initial conditions in the linkage between flooding and atmospheric rivers (ARs) in coastal Western U.S. watersheds in a changing climate, evaluation of the AR-related flood forecast skill driven by recently developed data sets such as SubX and West-WRF, as well as investigation of the benefits from remote sensing products in hydrologic applications. Her expertise is hydrological modeling and analysis. She has experience with models like DHSVM, VIC and Noah-MP. Her research at CW3E involves using hydrologic models and methods to investigate variability in regional terrestrial water storage, in the form of ground water and surface water including snowpack, as revealed by a growing archive of GPS near-surface crustal displacements that are collected throughout California and across the U.S. She will also be working on the hydrological modeling using WRF-Hydro over the Western U.S. to support the FIRO project.

0 articles