Andrea Burattin, Ph.D.

Associate Professor, Technical University of Denmark

Supervised Theses

The following lists contain the theses that I supervised or co-supervised.

Ph.D. Theses

  1. Usability and understandability of Hybrid Process Models, Amine Abbad Andaloussi, Technical University of Denmark (ongoing)

Master Theses

  1. Data processing: user behaviour prediction and user interface flow improvements, Jacob Bundgaard Knudsen, Technical University of Denmark (ongoing)
  2. Process Mining support to migrate into new ERP System, Sidan Zou, Technical University of Denmark (August, 2019)
  3. Investigating the understandability of the fragment-based case management approach, Skúli Skúlason, Technical University of Denmark (April, 2019)
  4. Mining Software Repositories: Using Change History and Process Metrics to Predict Software Bugs, Jesper Holbæk Mark, Technical University of Denmark (February, 2019)
  5. A mediator for model analysis services, Jesper Bak Hansen, Technical University of Denmark (January, 2019)
  6. Investigating The Use Of DCR Monocle For Creating Process Models Using Eye Tracking, Jon Buch-Lorentsen, Technical University of Denmark (January, 2019)
  7. Mining Business Processes from Real World Activities using Tobii Glasses, Christos Katsikiotis, Technical University of Denmark (August, 2018)
  8. Mining Developers' Workflows from IDE Usage, Constantina Ioannou, Technical University of Denmark (March, 2018)
  9. Process Mining for Auditing Order-to-Cash and Accounts Receivable Processes in an SAP Environment, Johannes Tegethoff, University of Innsbruck, Austria (February, 2018)
  10. Extending analytics for eyetracking data linked to source code based on iTrace, Dennis Bøgelund Olesen, Technical University of Denmark (February, 2018)
  11. Exploring Process Mining in IoT Environments, Amine Abbad Andaloussi, Technical University of Denmark (January, 2018)
  12. Generation of Realistic Process Models for Benchmarking Purposes, Anders Thestrup Rikvold, Technical University of Denmark (January, 2018)
  13. Impact of Layout Properties on the Understandability of Process Models, Katja Sonderegger, University of Innsbruck, Austria (July, 2016)
  14. Event log aligment for Process Mining purposes using GPU computing, Ivan Belluco, University of Padua, Italy (October, 2013)
  15. Automatic configuration of Heuristics Miner++ through the MDL principle, Daniele Turato, University of Padua, Italy (December, 2012)
  16. Business Process Management and Process Mining for business processes improvement, Emanuele Fabbri, University of Padua, Italy (December, 2011)

Bachelor Theses

  1. Use Eye-tracking to test user understandability of DCR models, Frederik Roar Weber, Technical University of Denmark (July, 2019)
  2. Extension of WoPeD tool with arc weights and coverability graph assistant, Andreas Danek-Bulius, University of Innsbruck, Austria (July, 2017)
  3. Design and development of a data conversion module from Microsoft Dynamics to OpenXES, Riccardo Sciarrone, University of Padua, Italy (January, 2011)