Dejing Dou

Summary

Biography

Dejing Dou is an assistant professor in the computer and information science department at the University of Oregon and leads the Advanced Integration and Mining (AIM) Lab. He received his bachelor degree from Tsinghua University, China in 1996 and his Ph.D. degree from Yale University in 2004. His research areas include artificial intelligence with applications in information integration, data mining, biomedical informatics and the Semantic Web. He has published a number of papers, some of which appear in prestigeous conferences and journals like KDD, SDM, ISWC, ODBASE and JoDS. In addition to serving on numerous program committees, he has been invited as panelist by NSF several times, and as an expert for grant review by the Netherlands Organization for Scientific Research (NWO). He is also a co-PI of the NSF grant on studying internet routing events with data mining.

Research Interests

Prof. Dejing Dou leads the Advanced Integration and Mining (AIM) Lab where the research projects relate to artificial intelligence, information integration, data mining, biomedical informatics and the Semantic Web. The OntoGrate project is to devise and evaluate techniques for an ontology-based system usable by human experts (e.g., gene scientists) in multiple domains to interactively integrate information that is heterogenous in both structure and semantics. Key innovations in OntoGrate include broadening the typical scope of integration to span databases, XML data, Knowledge bases and the Semantic Web; strengthening the derivation of mapping rules by introducing data mining techniques; interacting with domain experts to realize the information integration with machine learning. We have helped gene scientists in ZFIN to find the useful relationship between genotype and phenotype information.

The Neural ElectroMagnetic Ontology (NEMO) project addresses a critical need for tools to support representation, storage, mining, and dissemination of human brain electromagnetic (EEG and MEG) data. NEMO is a collaborative project with neuroscientists from UO, EGI, U of Pittsburgh, U of Louisville, U of Montreal, and U of Colorado. We have formed a consortium to define EEG/MEG ontologies which are based on the meta-data discovered by data mining and it is novel for neuroscience field. We are currently building the temporal and spatial ontology-based databases for EEG/MEG data. Our recent paper on brainwave ontology mining has been accepted by SIGKDD conference 2007 for full presentation (acceptance ratio: 8%, 40/500) and is being considered as a candidate for best research paper award. The Internet Routing Forensics (IRF) is a collaborative project of AIM lab and UO's Network Security Lab (lead by Prof. Jun Li). We are combining several data mining techniques, such as classification and clustering, together with statistics and knowledge representation methods to understand and represent the impact abnormal BGP (Border Gateway Protocol) events, such as worms and blackout. The IRF project is currently funded by NSF.