AAAS Elects Chen-Nee Chuah as Fellow
Distinction celebrates electrical and computer engineering professor’s contributions to large-scale networked systems and applications
The American Association for the Advancement of Science, or AAAS, the world's largest multidisciplinary scientific society, has elected Professor of Electrical and Computer Engineering Chen-Nee Chuah of the University of California, Davis, as a fellow. The prestigious honor, which the society bestows annually, is reserved for researchers who have made significant advancements to science or its applications.
AAAS selected Chuah for her contributions to the field of communication networks, particularly her research in capacity scaling and data-driven characterization of large-scale network systems to measure and validate the end-to-end properties of the Internet, identify performance requirements of emerging networked applications, and test innovations in the network control plane.
Chuah joined the UC Davis Department of Electrical and Computer Engineering in 2002, after receiving her M.S. and Ph.D. from UC Berkeley in 2000 and 2001. Throughout her career, she has published more than 240 refereed papers — with over 13,834 citations — and has mentored six postdoctoral scholars, 32 Ph.D. students, 51 M.S. students and over 40 undergraduates. Many of her advisees are now making their contributions to advancing science and engineering in academia, research labs and industry.
"It is humbling to join the rank of AAAS fellows, including those who have been my role models for years. I am grateful to all my teachers, mentors, colleagues, collaborators, postdocs and students who have helped contribute to the advancement of my career, as well as my family and friends, who are my constant source of moral support. I am excited to continue to contribute to scientific advancement and public education through my work at UC Davis," Chuah said.
Currently, Chuah is focusing on the applications of data science and machine learning techniques to advance human health. She has established several interdisciplinary research programs with colleagues from the UC Davis Health School of Medicine and School of Nursing to develop artificial intelligence-assisted clinical decision support systems for early disease diagnosis and prognosis. These include sensors that would provide doctors with reliable 24/7 health alerts for their patients and a deep-learning framework to aid in assessing the observable characteristics of conditions like Alzheimer's disease and stroke.
AAAS will formally recognize Chuah's election at the annual Fellows Forum in Washington, D.C., on September 21, 2024. The fellowship builds upon Chuah's other illustrious honors, which include an IEEE fellowship, ACM Distinguished Scientist, Child Family Endowed Professorship in Engineering, a UC Davis Chancellor's fellowship — active from 2008 to 2013 — and a National Science Foundation CAREER award.