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. Multi Platform and NLP Capable Chatbot for Process Mining, Technical University of Denmark (February, 2020)
  2. Data processing: user behaviour prediction and user interface flow improvements, Technical University of Denmark (September, 2019)
  3. Process Mining support to migrate into new ERP System, Technical University of Denmark (August, 2019)
  4. Investigating the understandability of the fragment-based case management approach, Technical University of Denmark (April, 2019)
  5. Mining Software Repositories: Using Change History and Process Metrics to Predict Software Bugs, Technical University of Denmark (February, 2019)
  6. A mediator for model analysis services, Technical University of Denmark (January, 2019)
  7. Investigating The Use Of DCR Monocle For Creating Process Models Using Eye Tracking, Technical University of Denmark (January, 2019)
  8. Mining Business Processes from Real World Activities using Tobii Glasses, Technical University of Denmark (August, 2018)
  9. Mining Developers' Workflows from IDE Usage, Technical University of Denmark (March, 2018)
  10. Process Mining for Auditing Order-to-Cash and Accounts Receivable Processes in an SAP Environment, Johannes Tegethoff, University of Innsbruck, Austria (February, 2018)
  11. Extending analytics for eyetracking data linked to source code based on iTrace, Technical University of Denmark (February, 2018)
  12. Exploring Process Mining in IoT Environments, Technical University of Denmark (January, 2018)
  13. Generation of Realistic Process Models for Benchmarking Purposes, Technical University of Denmark (January, 2018)
  14. Impact of Layout Properties on the Understandability of Process Models, Katja Sonderegger, University of Innsbruck, Austria (July, 2016)
  15. Event log aligment for Process Mining purposes using GPU computing, Ivan Belluco, University of Padua, Italy (October, 2013)
  16. Automatic configuration of Heuristics Miner++ through the MDL principle, Daniele Turato, University of Padua, Italy (December, 2012)
  17. Business Process Management and Process Mining for business processes improvement, Emanuele Fabbri, University of Padua, Italy (December, 2011)

Bachelor Theses

  1. Simplifying communication between AEC stakeholders to facilitate agile practices, Technical University of Denmark (August, 2020)
  2. Analyzing end-user’s engagement with fragmented Dynamic Condition Response graphs, Technical University of Denmark (August, 2020)
  3. Modular Software Platform for Asset Management, Technical University of Denmark (May, 2020)
  4. Use Eye-tracking to test user understandability of DCR models, Technical University of Denmark (July, 2019)
  5. Extension of WoPeD tool with arc weights and coverability graph assistant, Andreas Danek-Bulius, University of Innsbruck, Austria (July, 2017)
  6. Design and development of a data conversion module from Microsoft Dynamics to OpenXES, Riccardo Sciarrone, University of Padua, Italy (January, 2011)