Mr Adriano Augusto

  • Room: Level: 10 Room: 07
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Automated process discovery
  • Business process management
  • Business process modelling
  • Business processes
  • Process mining
  • Robotic process automation

Biography

Adriano Augusto is associate lecturer at the school of Computing and Information Systems (CIS) of the University of Melbourne. He completed a joint PhD at the University of Tartu (Estonia) and the University of Melbourne, presenting a thesis in the field of automated process discovery. His research interests include: process mining, automated process discovery, and business process management.

Recent publications

  1. Augusto, A.; Conforti, R.; Dumas, M.; La Rosa, M.; Maggi, FM.; Marrella, A.; Mecella, M.; Soo, A. Automated Discovery of Process Models from Event Logs: Review and Benchmark. IEEE Transactions on Knowledge and Data Engineering. Institute of Electrical and Electronics Engineers. 2019, Vol. 31, Issue 4, pp. 686-705. DOI: 10.1109/TKDE.2018.2841877
  2. Bosco, A.; Augusto, A.; Dumas, M.; La Rosa, M.; Fortino, G. Discovering automatable routines from user interaction logs. . Springer International Publishing. 2019, Vol. 360, pp. 144-162. DOI: 10.1007/978-3-030-26643-1_9
  3. Augusto, A.; Armas Cervantes, A.; Conforti, R.; Dumas, M.; La Rosa, M.; Reissner, D. Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach. . 2019.
  4. Augusto, A.; Dumas, M.; La Rosa, M. Metaheuristic Optimization for Automated Business Process Discovery. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer. 2019, Vol. 11675 LNCS, pp. 268-285. DOI: 10.1007/978-3-030-26619-6_18
  5. Augusto, A.; Conforti, R.; Dumas, M.; La Rosa, M.; Polyvyanyy, A. Split miner: automated discovery of accurate and simple business process models from event logs. Knowledge and Information Systems. SPRINGER LONDON LTD. 2019, Vol. 59, Issue 2, pp. 251-284. DOI: 10.1007/s10115-018-1214-x
  6. Augusto, A.; Armas Cervantes, A.; Conforti, R.; Dumas, M.; La Rosa, M.; Reissner, D. Abstract and Compare: A Framework for Defining Precision Measures for Automated Process Discovery. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SpringerLink. 2018, Vol. 11080 LNCS, pp. 158-175. DOI: 10.1007/978-3-319-98648-7_10
  7. Augusto, A.; Conforti, R.; Dumas, M.; Rosa, ML. Split miner: Discovering accurate and simple business process models from event logs. Knowledge and Information Systems. IEEE. 2017, Vol. 2017-November, pp. 1-10. DOI: 10.1109/ICDM.2017.9
  8. Augusto, A.; Conforti, R.; Dumas, M.; La Rosa, M.; Bruno, G. Automated Discovery of Structured Process Models: Discover Structured vs. Discover and Structure. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SPRINGER INTERNATIONAL PUBLISHING AG. 2016, Vol. 9974, pp. 313-329. DOI: 10.1007/978-3-319-46397-1_25
  9. Conforti, R.; Augusto, A.; Rosa, ML.; Dumas, M.; García-bañuelos, L. BPMN miner 2.0: Discovering hierarchical and block-structured BPMN process models. CEUR Workshop Proceedings. CEUR Workshop Proceedings. 2016, Vol. 1789, pp. 39-43.