Research focus

Cyber Information Engineering (Ecological View of the Digital Ecosystems)

1. Ontologies – Design and Implementation
2. XML Based systems and document handling
3. Information Hiding and Digital Watermarking
4. Cyber security, particularly in Open Systems
5. Cyber privacy, risks, trust and accountability
6. Social Networks and social responsibility
7. Real Time Systems on the Web
8. Ontologies and multi-agent systems
9. Soft and Semantic Grid
10. Light-weight semantic web services.

Human Space Computing (Socio-economic view of the Digital Ecosystems)

1. Blue tooth, mobile computing and digital pens
2. Wireless technologies (VOIP, WiFi, IRDA, RFID, GSM, GPRS, 3G …)
3. Software solutions and interfaces (Symbian, Windows Mobile, Palm, 2ME, XML)
4. Telecommunication convergence using wireless devices (Video, Voice, Data)
5. Wireless devices in the resource industry and manufacturing.

Automations

1. Sensor networks and track and trace solutions
2. Talking emails and mobile conferences
3. Personal space security and privacy
4. Convergence technologies
5. Extreme interfaces.
   

Business Intelligence

1. Business agility and Market Positioning
2. Fraud detection and information protection
3. Consensus decision making and group ego
4. Knowledge representation and visualization
5. Business Intelligence and market positioning
6. Business performance, productivities and quality
7. Distributed Intelligence from virtual human enterprises
8. Algorithms for generating new knowledge and wisdom
9. Knowledge operators and knowledge mining programs
10. Value of Information in business, products and customers
11. Extracting Knowledge from Information and Content (EKIC)
12. Possible new business models, new services and new products
13. Temporary or long term self-organized coalition and cooperation
14. Rule and AQ learning, pattern discovery and conceptual clustering
15. Integrating a knowledge from a data mining and applying this knowledge during the data mining
16. Integrating a wide range of data mining techniques and methods and to derive incremental new knowledge from large data set and prior knowledge.