Marcin Budka

Dr Marcin Budka

  • 01202 961631
  • mbudka at bournemouth dot ac dot uk
  • Principal Academic in Data Science
  • Poole House P256b, Talbot Campus, Fern Barrow, Poole, BH12 5BB
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Marcin Budka has received his dual BA+MA degree in finance and banking from the University of Economics, Katowice, Poland, in 2003, BSc in computer science from University of Silesia, Poland, in 2005 and PhD in computational intelligence from Bournemouth University, UK, in 2010, where he currently holds the Lecturer in Computational Intelligence position. His current research interests include Information Theoretic Learning, metalearning, adaptive systems, ensemble models and complex networked systems with focus on evolution and dynamics of social networks.


My research interests lie in a broadly understood field of machine learning, data mining, predictive modelling and computational intelligence, with a particular focus on practical applications. Recently I have also developed an interest in the area of complex, evolving networked systems, which appear as a very attractive and relatively little explored practical application for advanced predictive models.

I am currently involved in the EU-funded INFER project (Computational Intelligence Platform for Evolving and Robust Predictive Systems) and also investigating the topic of diffusion in complex networks.

Journal Articles


  • Balaguer-Ballester, E., Tabas-Diaz, A. and Budka, M., 2014. Empirical identification of non-stationary dynamics in time series of recordings. Springer Verlag, 142-151.
  • Musial, K., Budka, M. and Blysz, W., 2013. Understanding the Other Side - The Inside Story of the INFER Project. 1-9.
  • Budka, M., 2013. Clustering as an example of optimizing arbitrarily chosen objective functions. In: Nguyen, N., Trawinski, B., Katarzyniak, R. and Geun-Sik, J., eds. Advanced Methods for Computational Collective Intelligence. Springer Berlin / Heidelberg, 177-186.
  • Musial, K., Budka, M. and Blysz, W., 2012. Understanding the Other Side - the Inside Story of the INFER Project. In: Howlett, R.J., Howlett, R.J. and Jain, L.C., eds. Innovation through Knowledge Transfer 2012. Springer Berlin Heidelberg, (in press).
  • Schierz, A.C. and Budka, M., 2011. High-Performance Music Information Retrieval System for Song Genre Classification. In: Kryszkiewicz, M., Rybinski, H., Skowron, A. and Ras, Z.W., eds. Proceedings of the 19th International Symposium on Methodologies for Intelligent Systems (ISMIS'11). Springer-Verlag.





  • Juszczyszyn, K., Budka, M. and Musial, K., 2011. Complex Network Model - a New Perspective. The International School and Conference on Network Science (NetSci2011).
  • Schierz, A.C., Budka, M. and Apeh, E., 2011. Winners' notes. Using Multi-Resolution Clustering for Music Genre Identification. TunedIT.


  • KTP - We Are Base Limited (Innovate UK, 26 Oct 2015). In Progress


  • BA + MA (dual) in E-banking: threats and safeguards (University of Economics in Katowice, Poland, 2003)
  • BSc (Hons) in Ant Colony System for Cluster Analysis (University of Silesia, Poland, 2005)
  • PhD in Computational Intelligence (Bournemouth University, UK, 2010)
The data on this page was last updated at 04:04 on June 25, 2017.