GEIST Research Group

We are GEIST. We dream big and work hard.

User Tools

Site Tools


pub:research:start

This is an old revision of the document!


About GEIST

See our projects!

AfCAI
LUX
Loki

 

GEIST Research Profile

GEIST logo Group for Engineering of Intelligent Systems Technologies (GEIST) was created in 2009 by Grzegorz J. Nalepa and Antoni Ligęza and a group of dynamic young researches. The research interests of the Group is located in the area of computer science and artificial intelligence. It is focused on the methods, and tools for developing and applying intelligent technologies and systems.

Areas

GEIST is mainly focused on the following areas of development and applications of intelligent technologies and systems:

  1. machine learning and data mining including big data analysis and explainable artificial intelligence methods in practical applications
  2. knowledge engineering including semantic information processing and explainability
  3. business intelligence including business process management
  4. ambient intelligence including context-aware systems
  5. affective computing with focus on emotion detection and interpretation in mobile systems

Methods

We use and develop specific methods and tools such for:

  • knowledge representation and reasoning
  • knowledge engineering and management
  • rule-based systems
  • explainable artificial intelligence (XAI)
  • business processes
  • formal verification
  • semantic annotations and ontologies
  • visual design of knowledge bases
  • semantic wikis for knowledge engineering
  • machine learning techniques
  • context-aware applications
  • software engineering

The expertise of the Group includes:

  • design and implementation, as well as formal verification and analysis of knowledge-based systems, mainly rule-based,
  • modelling and evaluation of business rules and processes, see the Bimloq project
  • distributed and collaborative knowledge management with semantic wikis, see the Loki semantic wiki system
  • Semantic Knowledge Engineering methodology, including the eXtended Tabular Trees rule modeling formalism
  • emotion detection and interpretation

Contacts

Finally the group is active in the area international collaboration for both research and teaching:

We are looking for partners, and projects – contact us!

pub/research/start.1657524207.txt.gz · Last modified: 2022/07/11 07:23 by sbk

Donate Powered by PHP Valid HTML5 Valid CSS Driven by DokuWiki