Data Mining in Bioinformatics Data
Professor Xiaohua Hu
College of Information Science and Technology
Drexel University

February 22, 2010 (Monday)
10:00AM  Donuts; 10:15 -11:30 AM Talk
First floor auditorium, EC&S Building

Massive amount of bioinformatics data from multiple sources await for
interpretation. This calls for formal data integration, modeling and
mining methods.  Many novel algorithms and methods have been developed in
recent years. Despite these research efforts and achievements, there are
still many open problems and challenging issues that need to be solved.
In this talk, I will address some of these challenging issues in mining the
bioinformatics data.  My talk will focus on three areas and their applications
to real-world problems:  (1) Integration of Multi Sources of Bioinformatics
Data, (2) Biomedical Literature Mining, and (3) Biomolecualr Network Analysis.
I will present the technical challenging issues, our approaches and algorithms,
and experimental study in these three areas. In particular, I will discuss
in details the semantic-based approach for multi-source bioinformatics
data integration, a unified framework for searching, extracting and mining
the biomedical literature in PubMed, and three computational approaches
(state-space method, fuzzy logic, and probabilistic Boolean Network)
for modeling and evaluating the biomolecular network.  In the end, I will
summarize our findings and point out some possible future research directions.
Short Bio: Xiaohua (Tony) Hu is currently an associate professor and the
founding director of the data mining and bioinformatics lab at the College
of Information Science and Technology, Drexel University.  He is the now
also serving as the IEEE Computer Society Bioinformatics and Biomedicine
Steering Committee Chair and the IEEE Computer Society Granular Computing
Steering Committee Co-chair.  He joined Drexel University in 2002. Earlier,
he worked as a research scientist in Nortel Research Center, and GTE labs
(Verizon Labs). In 2001, he founded the DMW Software in Silicon Valley,
California. His research ideas have been integrated into many commercial
products and applications.
Tony's current research interests are in biomedical literature data mining,
bioinformatics, text mining/information retrieval, and database system. He has
published more than 180 peer-reviewed research papers in various journals,
conferences and books, co-edited 14 books/proceedings.  He has received a
few awards including the NSF Career award, the 2007 IEEE Bioinformatics and
Bioengineering Outstanding Achievement Award, the best paper award at the 2007
International Conference on Artificial Intelligence, the best paper award at
the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and
Computational Biology, and the 2001 IEEE Data Mining Outstanding Service Award.