David Hong awarded NSF Graduate Research Fellowship
Hong intends to apply machine learning and signal processing techniques to the massive data sets now available to researchers.
David Hong has been awarded a prestigious NSF Graduate Research Fellowship to support his studies as an Electrical and Computer Engineering student at the University of Michigan.
David is a first year graduate student working with Prof. Raj Nadakuditi. He intends to apply machine learning and signal processing techniques to the massive data sets now available to researchers. More specifically, he plans to develop new algorithms that are able to uncover hidden trends in massive real world datasets, ranging from healthcare records to personalized learning records.
David received his bachelor’s degree in Electrical & Computer Engineering and Mathematics from Duke University in 2013. He has served as a tutor and mentor for several years at low-income elementary schools in North Carolina, and is an Eagle Scout. David participated in competitive robotics competitions in the United States, and later brought that experience to a low-income community in South Africa, where he created and taught a robotics course to 6th grade students. This latter experience in particular motivates his current research. He believes that a personalized study plan for students who do not have access to highly-trained teachers could be truly transformative, and enable these young individuals to receive the training they need to fulfill their potential and contribute to society.
The National Science Foundation’s Graduate Research Fellowship Program (GRFP) helps ensure the vitality of the human resource base of science and engineering in the United States and reinforces its diversity. The program recognizes and supports outstanding graduate students in NSF-supported science, technology, engineering, and mathematics disciplines who are pursuing research-based master’s and doctoral degrees at accredited United States institutions.