pub:research:start
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| - | ====== Research Profile ====== | + | ~~NOTOC~~ |
| + | {{page> pub: | ||
| - | ===== Overview | + | ====== GEIST Research Profile ====== |
| - | GEIST is active | + | {{: |
| + | **[[https:// | ||
| + | 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 | ||
| + | It is focused on the methods, and tools for developing and applying intelligent | ||
| - | For details see: | + | <WRAP clear></ |
| - | {{nstoc 1}} | + | |
| + | ===== Areas ===== | ||
| - | ===== Main research | + | GEIST is mainly focused on the following //areas of development |
| + | - **explainable AI (XAI), machine learning and data mining** including big data analysis in practical applications | ||
| + | - **knowledge engineering** including semantic information processing, knowledge graphs and semantic wikis | ||
| + | - **business intelligence** including business process management | ||
| + | - **ambient intelligence** including context-aware systems and augmented reality | ||
| + | - **affective computing** with focus on personalized emotion processing in intelligent systems | ||
| - | === Design, Implementation | + | ===== Methods ===== |
| + | <WRAP column half> | ||
| + | We use and develop specific //methods and tools// such as for: | ||
| + | * knowledge representation and reasoning (KRR), | ||
| + | * knowledge engineering | ||
| + | * rule-based systems, | ||
| + | * formal verification, | ||
| + | * knowledge graphs, | ||
| + | * semantic annotations | ||
| + | * semantic wikis, | ||
| + | * explainable artificial intelligence (XAI), | ||
| + | * machine learning (ML) techniques, | ||
| + | * context-aware applications, | ||
| + | * edge AI solutions, | ||
| + | * human-computer interaction (HCI), | ||
| + | * augmented reality (AR), | ||
| + | * affective computing (AfC), | ||
| + | * experimental studies, incl. experiments in game environments. | ||
| + | </ | ||
| - | The GEIST team has deep theoretical | + | <WRAP column half> |
| - | practical tools. These tools are being actively used and extended | + | The expertise of the Group includes: |
| - | support the design of Business Rules and Processes. | + | * design |
| + | * modelling and evaluation of business rules and processes, | ||
| + | * distributed and collaborative knowledge management with semantic wikis (see [[https:// | ||
| + | * development of knowledge graphs, including business solutions (e.g., | ||
| + | * gathering and processing of a variety of sensory data, such as accelerometer, | ||
| + | * emotion detection and interpretation, | ||
| + | * design | ||
| + | * designing experimental research in a game-based environment (see [[https:// | ||
| + | </ | ||
| - | Members of the team co-organize the [[http:// | + | <WRAP clear>< |
| - | | + | |
| + | ===== Contacts ===== | ||
| - | === Semantic Knowledge Engineering with Semantic Wikis === | + | Finally the group is active |
| - | + | * international consortia under [[https:// | |
| - | The GEIST team has practical experience | + | * scientific collaboration with Universities |
| - | ICCCI conference. | + | * teaching collaboration in the scope of the Erasmus LPP |
| - | Members | + | * participation |
| - | + | * see also the [[https:// | |
| - | Members | + | |
| + | **We are looking for partners, and projects -- [[pub: | ||
pub/research/start.1264671048.txt.gz · Last modified: 2010/01/28 09:30 by wtf