pub:research:start
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- | ====== Research Profile ====== | + | ~~NOTOC~~ |
- | + | {{page> | |
- | ===== Overview ===== | + | |
- | {{:pub:research: | + | |
- | **[[http:// | + | |
- | The university consists of 15 Faculties from number of domains, including the Electrical Engineering and Business Management. | + | |
- | It employs about 2000 faculty members serving over 33 000 students within undergraduate, | + | |
- | **[[http:// | + | ====== GEIST Research Profile ====== |
- | The Department faculty and staff consist currently of over 100 people including 10 professors. Since 1995 the | + | |
- | Since 1995 the Department has been involved in number of European Projects (e.g. TEMPUS, COST, ERASMUS, ESPRIT II). | + | |
- | Professors and researchers of the Department served as advisories for number of companies, and regulatory bodies in Poland and abroad. | + | |
- | Faculty members have been active in professional societies, organizing international conferences (e.g. [[http:// | + | |
- | Other distinctive departments include the [[http:// | ||
{{: | {{: | ||
- | **[[http:// | + | **[[http:// |
- | It is active | + | was created in 2009 by Grzegorz J. Nalepa and Antoni Ligęza |
- | The group has been involved in number of research project. | + | The research interests of the Group is located |
- | Since 2007 the group has been coordinating the [[http:// | + | It is focused on the methods, and tools for developing and applying |
- | Since 2008/9 it has been involved in the [[http:// | + | \\ |
+ | \\ | ||
+ | ===== Areas ===== | ||
- | ===== Recent activity ===== | + | GEIST is mainly focused on the following //areas of development and applications// |
- | {{section> | + | - **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 | ||
- | ===== Main research areas and activities | + | ===== 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 | ||
+ | </ | ||
- | === Design, Implementation | + | <WRAP right 40%> |
+ | The expertise of the Group includes: | ||
+ | * design and implementation, as well as formal verification | ||
+ | * 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, | ||
+ | * emotion detection | ||
+ | </ | ||
- | The GEIST team has deep theoretical and practical experience in Rule-Based Systems. The [[http:// | ||
- | These tools are being actively used and extended to support the design of Business Rules and Processes. | ||
- | Members of the team co-organize the [[http:// | + | ===== Contacts ===== |
+ | Finally the group is active in the area // | ||
+ | * scientific collaboration with Universities of [[http:// | ||
+ | https:// | ||
+ | * teaching collaboration in the scope of the Erasmus LPP | ||
+ | * participation of group members in the Organizing Committees international conferences and workshops, including [[http:// | ||
+ | * see also for the [[https:// | ||
- | === Semantic Knowledge Engineering with Semantic Wikis === | + | We are looking for partners, |
- | + | ||
- | The GEIST team has practical experience in building and applying semantic wikis in knowledge engineering. Recently a prototype system called PlWiki has been developed and presented at the [[http:// | + | |
- | Members of the team work with partners | + | |
- | + | ||
- | Members of the team co-organize the [[http:// | + | |
- | + | ||
- | === Other research areas === | + | |
- | {{page> | + | |
+ | {{like> |
pub/research/start.txt · Last modified: 2022/07/18 07:28 by sbk