pub:research:start
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- | ====== Research Profile ====== | + | ~~NOTOC~~ |
+ | {{page> pub: | ||
- | ===== Overview | + | ====== GEIST Research Profile ====== |
- | GEIST is active in the areas of intelligent systems, knowledge and software engineering, | ||
- | For details see: | + | {{: |
- | {{nstoc 1}} | + | **[[http:// |
+ | 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 ===== | ||
- | ===== Main research | + | GEIST is mainly focused on the following //areas of development |
+ | - **machine learning and data mining** including big data analysis and explainable artificial intelligence methods in practical applications | ||
+ | - **knowledge engineering** including semantic information processing and explainability | ||
+ | - **business intelligence** including business process management | ||
+ | - **ambient intelligence** including context-aware systems | ||
+ | - **affective computing** with focus on emotion detection and interpretation in mobile systems | ||
- | === Design, Implementation and Verification of Rule-Based Systems and Business Rules === | + | ===== Methods |
+ | <WRAP left 40%> | ||
+ | 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 GEIST team has deep theoretical | + | <WRAP right 40%> |
- | practical tools. These tools are being actively used and extended to | + | The expertise of the Group includes: |
- | support | + | * design |
+ | * modelling | ||
+ | * distributed | ||
+ | * Semantic Knowledge Engineering methodology, | ||
+ | * emotion detection | ||
+ | </ | ||
- | Members of the team co-organize the [[http:// | ||
- | | ||
+ | ===== Contacts ===== | ||
- | === Semantic Knowledge Engineering with Semantic Wikis === | + | Finally the group is active |
- | + | * scientific collaboration with Universities of [[http:// | |
- | The GEIST team has practical experience | + | https://www.upm.es/ |
- | ICCCI conference. | + | * teaching collaboration |
- | Members of the team work with partners from the University of Wuerzburg | + | * participation |
- | + | * see also for the [[https:// | |
- | Members | + | |
+ | We are looking for partners, and projects -- [[pub: | ||
+ | {{like> |
pub/research/start.txt · Last modified: 2022/07/18 07:28 by sbk