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Scientific Profile in Keywords
Business Intelligence, Data Science, Data Mining, E-business, Open data
Scientific Interest
My professional and research interests focus on two areas: Data Science and Computer Modelling. In the Data Science area, I am interested in the implementation of machine learning and analytical techniques in business, social and economic analysis. I have extensive experience in modelling using artificial intelligence techniques (e.g. neural networks, cellular automata) and using business process simulation techniques (BPMN). Another area of my scientific activity is e-government and open data - many years of experience in developing and implementing IT solutions in public institutions helps me in effective and efficient analysis and optimisation of processes in public institutions. I am a practitioner with a methodical approach focused on project objectives and innovative IT techniques that can be used during project delivery. Passionate about agile and lean application in project management.
Courses I Teach
Business Intelligence, Data Mining, Data integration, Databases, E-business, Process Modelling (BPMN, Adonis), Software Engineering (UML), Algorithms and Complexity
Selected Research Projects
1. Incubator of innovation+ No. MNISW/2017/DIR/33/II+: Modelling the energy consumption patterns of telecommunication facilities using predictive methods
2. Modelling of the reverse logistics processes for plastics waste in the perspective of international experience, https://projekty.ncn.gov.pl/index.php?projekt_id=468652
3. Development of algorithms for detecting anomalies in data transmission in data communication networks, using the PSO optimization method.
Planned Research or Teaching Activities
1. Analysis of open/public data sets using artificial intelligence methods..
2. Technology enhanced teaching and learning.
3. Data mining and Business Intelligence solutions and implementation.