Supervisors and location

Laboratory Supervisor: Dr. Kamil Szyc, Kamil.Szyc@pwr.edu.pl

Location: room 229 in building C-3 on the WUST campus

Scope of activities

The core activity of the laboratory is deep learning research, in particular:

• deep models teaching,
• analysis and classification of graphic images,
• thematic classification of texts,
• stylometry,
• visualisation of multidimensional data,
• the explanatory power of deep models,
• outlier detection (out-of-distribution).

The lab also carries out data mining work on:

• associative rules,
• data grouping,
• predictive models,
• applications of data mining methods to biomedical issues, images, and natural language texts.

Offer for Industry

The laboratory can carry out research and programming work in the field of the application of deep models in data analysis, particularly in graphic images (photographs) and natural language texts (in particular in Polish and English).

In data mining issues, the laboratory offers support in the development of multidimensional reporting systems (OLAP) based on data collected in transactional databases and the development of multidimensional data models for data warehouses, as well as ETL (extract-transform-load) scripts implementing the process of integration and loading of data into the warehouse. It is also possible to analyze the results of research conducted using DNA microarrays (gene expression studies), as well as various types of medical data.

Equipment

1. Workstation for building deep models with graphics cards
2. 16 PC workstations
   • AMD Ryzen7, 8 CORE, 3.7 GHz
   • 32 GB RAM, 1 TB SSD
   • RTX 2080 SUPER Gaming OC 8GB GDDR6
   • Monitor: Dell U2718Q
3. Specialist software:
   • Matlab
   • SAS system
   • SAS Enterprise Miner
   • SAS Business Intelligence
   • SAS OLAP Server
4. Fully equipped for audio-visual presentations.