Staff profile

Dr Fei F Liu

Senior Lecturer, Undergraduate Course Coordinator

Faculty of Science, Technology and Engineering

School of Engineering and Mathematical Sciences
Department of Computer Science and Computer Engineering

beth Gleeson Building room 236, Melbourne (Bundoora)

 

Qualifications

BSc, Zhejiang University, MSc, PhD, La Trobe University

Membership of professional associations

Member of IEEE

Area of study

Computer Science
Information Systems
Information Technology

Brief profile

Fei received her PhD from The Department of Computer Science & Computer Engineering, La Trobe University in 1998. Before joining the department as an academic staff in 2002, she was a lecturer in The School of Computer & Information Science, The University of South Australia, and The School of Computer Science & Information Technology, Royal Melbourne Institute of Technology. She also worked as a software engineer in Ericsson Australia. Her research interests include Logic Programming, Semantic Web and Security in Electronic Commerce. Fei is currently supervising 10 PhD, Masters and Honours students.

Teaching units

CSE3ALR  Artificial Intelligence: Logic and Reasoning

CSE4WSE  Web Service Engineering

Recent publications

Fei has authored/co-authored more than 50 conference papers, journal papers and book chapter. Below is a list of recently published papers.

[1]   Li, G. and Liu, F., Application of a Clustering Method on Sentiment Analysis, Journal of Information Science, Volume 38, Issue 2, April 2012, pp.127–139.

[2]   Xie J., Liu F. and Guan S., Tree-Structure Based Ontology Integration, Journal of Information Science, Volume 37, Issue 6, December 2011, pp. 594 – 613.

[3]   Le V. H., Liu F. and Tran D. K., Fuzzy Linguistic Logic Programming and Its Applications, Theory and Practice of Logic Programming, Volume 9, Issue 3, 2009, pp.309-341.

[4]   Vølstad T., Liu F. and Guan S-U., Layered RDF - An Object-Oriented Approach to Web Information Representation, Web Intelligence and Agent Systems: An International Journal, Volume 7, Number 3, 2009, pp. 281 – 301.

[5]   Guan S-U., Tan W. and Liu F., CogBroker - A Cognitive Approach to Intelligent Product Brokering for E-commerce, International Journal of Computational Intelligence and Applications,  Volume 7, Number 4, 2008, pp. 401-427.

[6]   Guan S-U., Boh C. and Liu F., An adaptable transport protocol based on Genetic AlgorithmsInternational Journal of Information and Communication Technology, Volume 1, Number 2, 2008, pp. 199-223.,

Research projects

Introducing Conditional Proof into Logic Programming

This project investigates the possibility of introducing conditional proof which is an important proof technique of deductive logic into logic programming [1]. It analyses the necessity and feasibility, and formulises the procedure. Incorporating conditional proof into SLD-resolution (or GOPT-resolution) increases the power of the derivation. Hence problems which cannot be solved by SLD-resolution (or GOPT-resolution) can, now, be solved by the variation of SLD-resolution (or GOPT-resolution).

Approximate Reasoning in PT-Resolution

This project studies the feasibility of integrating approximate reasoning into PT-resolution. PT-resolution is a deduction method based on partial intersection and truncation. The integration enables the deduction to handle quantitative data in an approximate manner.

Object Oriented Web Information Specification

With the fast expansion of the World Wide Web and rapid advances in Information Technology, there is a great demand for an intelligent search engine -- the search engine not only can conduct pattern marching, but also can deduce (ie. to derive information from existing information). This requires an effective mechanism in information representation, retrieval and derivation.

In this project, we investigate the feasibility of extending an object oriented language for web information representation and derivation. The extension can be made on an existing language. The significance of the research is that it enables us to build a powerful tool for web information representation and derivation based on the existing infrastructure.