Prof. Feng Liu on “Graph Structure Learning with Application to Brain Source Imaging”
From Edmund Fogarty II
Presented on Wednesday, October 7, 2020 for the SSE Dean’s Virtual Seminar Series: The Future of Systems, featuring Prof. Feng Liu on "Graph Structure Learning with Application to Brain Source Imaging."
In this talk, Prof. Liu will present a new perspective to solve brain imaging problems based on the story of building the graph structure of the data, for the data, and from the data. He will discuss three components of his research and will conclude with potential for future research.
Dr. Liu is an assistant professor in the School of Systems and Enterprises. He earned his Ph.D. in industrial engineering at the University of Texas at Arlington. His research is multidisciplinary, involving the areas of machine learning, signal processing, healthcare, dynamic systems, control theory, health informatics and renewable energy. Dr. Liu’s primary goal is to develop novel mathematical models and machine learning algorithms to solve problems with practical impact.
The "SSE Dean’s Virtual Seminar Series: The Future of Systems" is presented by Dean Yehia Massoud and offers weekly lectures each Wednesday at noon for Stevens undergraduate and graduate students, faculty, administration and guests. At each session, SSE faculty present a 20-minute lecture, followed by a five-to-ten minute Q&A session.
The series has been created to keep students informed on the advances of faculty research, and the mission of the School of Systems and Enterprises as a leader in systems science and engineering. Each lecture will be recorded and made available on the School of Systems and Enterprises Kaltura channel for those who are unable to attend the live Zoom sessions.