CS Scenes
 Department of Computer Science
 

Major Research Areas

Faculty
Research Areas
Artificial Intelligence; Bayesian Networks; Database Systems; Information Retrieval
Rough Set Applications; Computer Education
Software Engineering

Dr. Philip Fong
( on leave until January 1, 2010 )
Trusted software engineering; Mobile code security; Software maintenance
Major research areas:
Computer Music and Audio; Speech Recognition; Signal Processing;
Secondary research areas:
Human-Computer Interaction; Information Retrieval
Natural Language Processing; Analysis and (re)synthesis; Auditory Scene Analysis; Multimedia
Databases: knowledge discovery in databases; data mining;
Artificial Intelligence: machine discovery; machine learning; natural-language processing;
Computer Animation: animation software design
Human-Computer Interaction; Scientific ; Visualization; Computer Graphics
Knowledge discovery and data mining; Parallel and distributed computing; Software engineering; Human-computer interaction
The application of technology assisted learning with an emphasis on the use of multimedia and on-line learning in education, training and continuing education of professionals for the information technology community.
Knowledge Representation; Constraint Programming; Temporal Reasoning
Scheduling and Planning; Artificial Intelligence and Software Engineering
Software Reuse; Formal Methods: algebraic specifications and process algebra; Agent-oriented Software Engineering; Assistance in the Development of Formal Specifications; Constraint Solving & Programming; Knowledge Compilation in Artificial Intelligence
Database theory as it applies to the design of ordered databases, such as Web services, and data warehousing.
Design and analysis of algorithms; Computational geometry; Graph theory; Combinatorial optimization
Computer Graphics; Scientific Visualization
Medical Imaging; Simulation
Data mining;Soft computing; Web intelligence systems
Intelligent Information Systems:
Information retrieval; data mining and data analysis; retrieval models; retrieval techniques; system evaluation
Uncertainty in Artificial Intelligence:
Uncertain reasoning; uncertainty measures; uncertainty management; non-classical logics; fuzzy sets; rough sets; interval computation and reasoning; granular computing; applications of measurement theory and decision theory
VLSI Architecture and Parallel Processing; Data Security and Fault Tolerance; Neural networks; Multimedia
Rough Sets; Data mining; Machine learning
Computational learning theory (interactive learning, query learning, inductive inference); Artificial intelligence (machine learning, search and planning); Formal languages (pattern languages, learning regular languages)
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Department of Computer Science  
 
Department of Computer Science
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Last revised: August 1, 2009

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