Maciej Grzenda, Ph.D.

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Research topics

Development of new techniques in the fields of data mining and machine learning that match domain needs with emphasis on smart city applications, including:

• data preprocessing techniques,
• data systems for cities
• modelling urban mobility
• load prediction and customer grouping algorithms,
• prediction of industrial process results,
• Big Data / all data...

See Stream Mining and Urban Data Systems Group for more details, including projects, teaching and MSc topics.

Related activities

Professional activities

IT systems with particular attention to:

• project management,
• advanced data processing using data mining/machine learning,
• database systems incl. NoSQL platforms,
• GIS/AM/FM solutions for mobility and utilities (water, wastewater, gas, district heating systems).