Research Areas of Faculty Members
Faculty |
Research Areas |
| Artificial Intelligence; Bayesian Networks; Database Systems; Information Retrieval | |
| Rough Set Applications; Computer Education; Software Engineering | |
|
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 |
|
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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 | |
| Information Visualization; Visual Analytics; Geovisual Analytics; Web/Image Search; Mobile Computing | |
| 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 |
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| 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 |
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| Computational learning theory (interactive learning, query learning, inductive inference); Artificial intelligence (machine learning, search and planning); Formal languages (pattern languages, learning regular languages) |















