Dr hab. Andrzej Dudek, prof. UEW
New technologies and innovation
Specialist in deep learning and data analysis for economic applications. Author of Deep Learning Models for Economic Research (Routledge, 2025) and over 100 scientific publications; co-developer of R and Python packages for economic data analysis. Creator of over a dozen systems and applications deployed in companies and local government units. Chair of the Council of the Data Analysis Section of the Polish Statistical Society (SKAD-PTS, 2025–2026) and member of the Statistical Science Council at the President of Statistics Poland (GUS, terms 2020–2024 and 2025–2029).
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Industry specialisation
- Artificial intelligence
- Deep learning
- Data analysis
- Software engineering
Services for business
- Audit and optimisation of deep learning models in production environments
- Implementation of AI agents for business process automation
- Design of recommendation systems based on customer transaction data
- Workshops and mentoring in MLOps and AI engineering for development teams
- Prototyping of generative AI applications (LLM, multimodal) for customer service and marketing
- Building cloud-based data pipelines (ETL and big-data analytics, Python/R)
Research, recognition and membership
- Chair of the Council of the Data Analysis Section of the Polish Statistical Society (SKAD-PTS, 2025–2026);
- previously Vice-Chair (2019–2022).
- Member of the Council of the International Federation of Classification Societies (IFCS);
- Scientific Secretary of IFCS (2020–2022).
- Member of the Statistical Science Council at the President of Statistics Poland (GUS, terms 2020–2024 and 2025–2029).
- Member of the Sectoral Council for IT, Telecommunications and Cybersecurity Competencies at PARP (Polish Agency for Enterprise Development).
- Second-place winner in the Bank i Kredyt Best Article competition (2022).
Selected projects and services
- Future Genius Sp. z o.o. – R&D project (2022–2023)
Development and deployment of the A2NL personalised AI-driven learning algorithm. The partner gained a new feature in its educational product; outcomes for WUEB included publications and patents. Type: R&D project. - Client from the online training sector – Innovation Voucher (2023)
Development of a dynamic pricing algorithm using machine learning. Outcomes: increased sales and client retention for the partner; a case study for WUEB. Type: implementation project, Innovation Voucher. - Statistics Poland (GUS) – expert services and joint research (2020–2024)
Development of the bdl R package for automated retrieval of data from the Statistics Poland Local Data Bank (BDL); improvement of statistical analyses. WUEB outcome: a methodological monograph. Type: expert services and joint research. - Statistics Poland (GUS) and universities – research project (2018–2022)
Development of a classification tree model identifying determinants of SME success. Results published in a 414-page GUS report. Type: research project. - Client from the construction sector – Lower Silesian Innovation Voucher (2013)
Development of an application for the automatic generation of EJB3 classes using reinforcement learning, reducing software production time. Type: implementation project.
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