Marcin Budka

Professor Marcin Budka

  • Professor Of Data Science
  • Poole House P256b, Talbot Campus, Fern Barrow, Poole, BH12 5BB
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Marcin Budka received his dual MSc/BSc degree in Finance and Banking from the Katowice University of Economics (Poland, 2003), BSc in Computer Science from the University of Silesia (Poland, 2005) and PhD in Computational Intelligence from Bournemouth University (UK, 2010). Between 2003 and 2007 he was working as an engineer, project manager and team leader in a smart-metering start-up company, before pursuing an academic career. In the years 2011-2012 he was appointed as a Visiting Research Fellow at the Wroclaw University of Technology, Poland. Between 2015 and 2017 he was the Head of Research in the Department of Computing and Informatics at Bournemouth University.


His research interests lie in a broadly understood area of AI, machine learning and data science, with a particular focus on practical applications. Throughout his career, I was involved in a number of consultancy and research projects with industry, ranging from EU-funded international research programmes to multiple Knowledge Transfer Partnerships, always with a particular focus on tangible impact and societally useful innovation.

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.
  • 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., 2013. Understanding the Other Side - The Inside Story of the INFER Project. 1-9.
  • Musial, K., Budka, M. and Blysz, W., 2012. Understanding the Other Side - the Inside Story of the INFER Project. In: 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.





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


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

Public Engagement & Outreach Activities

  • Dinosaurs to Forensics. Using ichnology to understand fossil trackways and track evidence at crime scenes


  • PhD in Computational Intelligence (Bournemouth University, UK, 2010)
  • BSc (Hons) in Ant Colony System for Cluster Analysis (University of Silesia, Poland, 2005)
  • MSc/BSc (dual) in E-banking: threats and safeguards (University of Economics in Katowice, Poland, 2003)


The data on this page was last updated at 04:31 on November 24, 2020.