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The inferring and analysis of microbial interaction network

Speaker: Xiaohua Hu Drexel University
Time: 2019-07-13 11:00-2019-07-13 12:00
Venue: FIT 1-222


The interactions and organizations among microbes play key roles in a microbial  communities. It is valuable to identify those interactions from multi-omics dataset including sequencing data, abundance data, networks and literature. In this talk, I will introduce several of our recent work in microbial network inferring and analysis. First, a prediction algorithm with high accuracy was proposed for bacteria-virus network based on logistic matrix factorization on a heterogeneous network linking host similarity and virus similarity. Second, we will introduce an automatic system for microbial relation extraction from large-scale literature dataset from which deep learning models were trained on pre-labeled dataset. The system can identify bacteria names and relations with good performance from published papers in PubMed. Third, we will introduce a novel method of network analysis for extracting high-order organization in microbial networks. These studies provide novel approaches to infer the global map of microbes in microbial world.


Short Bio:

Xiaohua Tony Hu is a full professor at the College of Computing and Informatics, Drexel University.  He is also serving as the founding  Co-Director of the USA  National Science Foundation  Center on Visual and Decision Informatics (NSF CVDI, the only designated NSF Industry-University  sponsored Big Data center at USA,  and IEEE Computer Society Big Data Conference Steering Committee Chair.  Tony is a scientist, teacher and entrepreneur. He joined Drexel University in 2002.  Earlier, he worked as a research scientist in the world-leading R&D centers such as Nortel Research Center, and Verizon Lab (the former GTE labs). In 2001, he founded the DMW Software in Silicon Valley, California. He has a lot of experience and expertise to convert original ideas into research prototypes, and eventually into commercial products, many of his research ideas have been integrated into commercial products and applications in data mining fraud detection, database marketing.

Tony’s current research interests are in big data, data/text/web mining, bioinformatics, and social media. He has published more than 270 peer-reviewed research papers in various journals, conferences and books (Google citation more than 23000 an H-index 61) . His research projects are funded by the National Science Foundation (NSF), US Dept. of Education, the PA Dept. of Health,  the Natural Science Foundation of China (NSFC).  He has obtained more than US$10 million research grants in the past 14 years as PI or Co-PI and has graduated 24 Ph.D. students from 2006 to 2019 and is currently supervising 8 Ph.D. students.