UC Noyce Initiative Researcher Named AAAS Fellow
UC Noyce Initiative researcher Chen-Nee Chuah was recently (April 18) selected to be a fellow of the American Association for the Advancement of Science, or AAAS, the world's largest multidisciplinary scientific society. The prestigious honor is a lifetime achievement and is reserved for researchers who have made significant advancements to science or its applications.
“As we celebrate the 150th anniversary of the AAAS Fellows Program, AAAS is proud to recognize the newly elected individuals. This year’s class embodies scientific excellence, fosters trust in science throughout the communities they serve, and leads the next generation of scientists while advancing scientific achievements,” said Sudip S. Parikh, Ph.D., AAAS chief executive officer and executive publisher of the Science family of journals.
AAAS selected Chuah, a Professor of Electrical and Computer Engineering at the University of California, Davis, 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.
"It is humbling to join the rank of AAAS fellows, including those who have been my role models for years,” she said in a UC Davis College of Engineering Interview. “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 has been a UC Noyce Initiative researcher since 2021 and is working on two collaborative research projects: one in cybersecurity and another computational health. Her project on cybersecurity focuses on designing solutions to enhance the security and privacy of machine learning/AI based application workloads running on resource-constrained edge devices and Internet-of-Things (IoTs). Her current multi-campus UC Noyce project is focusing on the applications of data science and machine learning techniques to advance human health. In particular, she is leading an inter-disciplinary team from UC Davis, UC Davis Health Alzheimer’s Disease Research Center, UC Irvine and UC San Francisco to develop computation-, data-, and label-efficient deep-learning frameworks for neuropathology image analysis tasks to aid deeper phenotyping of neurogenerative (e.g., Alzheimer's and Dementia) and cerebrovascular (e.g., stroke) diseases.
UC Davis News Service and College of Engineering contributed to this article.