Human-Centric & Data-Driven Semantic Computing

Date: 
Thursday, February 16, 2017 - 10:00
Location: 
TH 434
Presenter: 
Bo Fu
Abstract: 
Data management and knowledge engineering are challenging tasks, particularly when the data is large, complex, and disparate. In recent years, semantic technologies have accelerated research in this area, supporting an ever-growing multidisciplinary community such as health and biomedical research among others. In this talk, I will discuss my research in semantic technologies to better facilitate data analysis and decision-making, through human-centric data engineering, integration, and visualization. In particular, I will discuss the use of ontologies, mappings, and collaborative visualization to support the understanding, analysis, and interaction with large-scale datasets. Finally, I will provide an outlook on the tremendous inter-disciplinary research opportunities in supporting participative and preventive approaches to health.
Bio: 

Dr. Bo Fu is an Assistant Professor in the Department of Computer Engineering and Computer Science at California State University, Long Beach, where she teaches a range of introductory and advanced courses in Computer Science, and leads a team of undergraduate and graduate students conducting research in the area of human-centric and data-driven semantic computing. She has published her work at premier Semantic Web and Knowledge Engineering journals and conferences. She is also an editorial board member of the International Journal on Semantic Web and Information Systems. Dr. Fu is actively engaged in her community, having served on NSF panels and reviewed for highly selective scientific venues such as Elsevier Big Data Research, Artificial Intelligence in Medicine, and BMC Bioinformatics. Dr. Fu received her Ph.D. in Computer Science from Trinity College, Dublin, Ireland in 2011. Prior to joining CSULB, she was a Research Scientist at Stanford National Center for Biomedical Ontology, and completed a postdoc at the University of Victoria, Canada.