Knowledge representation and nonmonotonic reasoning is the topic of my PhD research. Motivated by developing procedures for implementing semantics of disjunction and nonmonotonic negation in logic programming and deductive databases, I focused on the development of algorithms of minimal model reasoning and query answering in logic programs and deductive databases. As part of the work, I took an alternative point of view on disjunctive logic programs and put forward the thesis “Disjunctive Program = Horn Program + Control Program”, this resulted in a set of novel transformations which transform a disjunctive logic program into a Horn program and a control program. One of the great benefits from this idea is that the existing techniques developed for Horn programs can be smoothly incorporated into the implementation of disjunctive logic programs.
I worked on Ontology in the EU IST-project IBROW3 (An Intelligent Brokering Service for Knowledge-Component reuse on the World-Wide Web) in the Knowledge Media Institute at the Open University. The objective of IBROW3 is to develop intelligent brokers that are able to distributively configurable knowledge components (domains, tasks and problem solving methods) into knowledge systems through the Web. In this project, I developed a library of classification problem solving based on ontology and developed a prototype system IRS (Internet Reasoning Service), which enables application developers to prototype knowledge-based applications quickly out of reusable components from distributed problem-solving methods libraries on the Web.
From April 2002 to March 2005, I worked on the EU IST-project SOCS (Societies Of ComputeeS) in the School of Informatics at City University, London. This project investigates computational and logical models of individual and collective behavior of computational entities - which is referred to as computes- interacting in the context of global and open computing environments. In this project I have developed a prototype platform based on peer-to-peer technology (JXTA) to support the deployment of logic agents in an open environment.
My work on relational data mining and knowledge discovery starts in April 2005 when I joined the BBSRC funded project BLID: A Bio-logical Intelligent Database in the Computational Biology Group at the University of Aberystwyth. This project aims to develop intelligent database technology for functional genomics using data from yeast as a model. Such intelligent database technology will have the capacity to aid biologists infer new biological knowledge. I have developed a relational database which integrates data from heterogeneous online biological databases. In the course of the project, I have gained a good experience in collecting biological data, building biological databases and applying machine learning techniques for knowledge discovery from the relational databases.
My current research work includes: applying AI techniques in bioinformatics, such as multi-relational data mining in biological databases and microarray and agent based simulation of cell’s behavior. In 2011 I facilitated the establishment of the Systems Biology group with Dr. Zhang Junlong, Dr. Sun Tao from Biological Sciences department, Dr. Zhang Bailing from CSSE based on my multidisciplinary research experience and teaching backgrounds in bioinformatics, relational data mining, algorithms and databases. Due to the joint efforts, we have successfully applied an 863 project funding (1500,000RMB). Currently we are working on a research project about microarray data analysis based on information theory.
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