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Persoonlijk profiel

Quote

"... the unexamined life is not worth living" – Plato

Research profile

Massimiliano de Leoni is an Assistant Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e).  

His research is set around Information Systems and Business Intelligence, on the hand, and Data Science, on the other hand. Information Systems record executions of the underlying processes in event logs.

In the new era of Big Data, these event logs are quickly becoming richer and richer because, on the one hand, information systems are more pervasive (e.g., in home automation or logistics) and connected with external systems and, on the other hand, these event logs can be augmented with additional data that come from external "data factories, including social medias, geo-referenced physical objects (e.g. via RFID tags), questionnaires, etc.

The large availability of process data is more than just a matter of volume and all the related challenges. Compared with traditional Business Intelligence, this is an opportunity to gain actionable insights to help organizations make better business decisions and become more effective and competitive

Academic background

Massimiliano de Leoni holds a BSc in Computer Engineering fro Sapienza University of Rome (with honors, marks 110/110), an MSc from Universita di Roma ‘La Sapienza’ (with honors, marks 110/110), and a PhD in in Computer Engineering from the same University. He held postdoc positions in the Architecture of Information Systems (AIS) group, TU/e and in the Department of Computer, Control, and Management Engineering, Sapienza University of Rome. He was visiting researcher in several universities world-wide and, in 2018, Visiting Professor at Università Politecnica delle Marche.

Current research is mainly concerned with solving problems relative to the field of business process management, analysis and mining in the context of ‘big event logs’. The large availability of process data is more than just a matter of volume and related challenges. Compared with traditional business intelligence, it is an opportunity to gain actionable insights to aid organizations to make better business decisions and become more effective and competitive. This touches on areas such as decision support, multi-perspective process mining, visual analytics and process mining, as well as conformance checking and discovery of artifact-centric business processes and declarative processes

 

Vingerafdruk Duik in de onderzoeksthema's waar Massimiliano de Leoni actief is. Deze onderwerplabels komen voort uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.

  • 6 Vergelijkbare profielen
Industry Engineering en materiaalwetenschappen
Flow control Engineering en materiaalwetenschappen
Information systems Engineering en materiaalwetenschappen
Decision trees Engineering en materiaalwetenschappen
Insurance Engineering en materiaalwetenschappen
Recommender systems Engineering en materiaalwetenschappen
Data mining Engineering en materiaalwetenschappen
Petri nets Engineering en materiaalwetenschappen

Netwerk Recente externe samenwerking op landenniveau. Duik in de details door op de stippen te klikken.

Onderzoeksoutput 2006 2019

  • 1641 Citaten
  • 59 Conferentiebijdrage
  • 18 Tijdschriftartikel
  • 14 Rapport
  • 2 Hoofdstuk

A framework to evaluate and compare decision-mining techniques

Jouck, T., de Leoni, M. & Depaire, B., 29 jan 2019, Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. Daniel, F., Sheng, Q. Z. & Motahari, H. (redactie). Cham: Springer, blz. 482-493 12 blz. (Lecture Notes in Business Information Processing; vol. 342).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Mining
Evaluate
Evaluation
Decision Model
Framework

Discovering high-level BPMN process models from event data

Kalenkova, A., Burattin, A., de Leoni, M., van der Aalst, W. & Sperduti, A., 2 sep 2019, In : Business Process Management Journal. 25, 5, blz. 995-1019 25 blz.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Business process model
Process model
Process mining
Life events
Decomposition

What if process predictions are not followed by good recommendations?

Dees, M., de Leoni, M., van der Aalst, W. M. P. & Reijers, H. A., 1 jan 2019, 17th International Conference on Business Process Management 2019 Industry Forum: Proceedings of the Industry Forum at BPM 2019 co-located with 17th International Conference on Business Process Management (BPM 2019). vom Brocke, J., Mendling, J. & Rosemann, M. (redactie). CEUR-WS.org, blz. 61-72 12 blz. (CEUR Workshop Proceedings; vol. 2428).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Open Access
Bestand
Recommender systems
Monitoring
Finance
Information systems
5 Citaties (Scopus)

A holistic approach for soundness verification of decision-aware process models

de Leoni, M., Felli, P. & Montali, M., 1 jan 2018, Conceptual Modeling - 37th International Conference, ER 2018, Proceedings. Li, Z., Trujillo, J. C., Du, X., Lee, M. L., Davis, K. C., Ling, T. W. & Li, G. (redactie). Cham: Springer, blz. 219-235 17 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11157 LNCS).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Soundness
Process Model
Integrated Model
Petri nets
Verify
3 Citaties (Scopus)

Alarm-based prescriptive process monitoring

Teinemaa, I., Tax, N., de Leoni, M., Dumas, M. & Maggi, F. M., 1 jan 2018, Business Process Management Forum - BPM Forum 2018, Proceedings. Montali, M., Weske, M., vom Brocke, J. & Weber, I. (redactie). Cham: Springer, blz. 91-107 17 blz. (Lecture Notes in Business Information Processing; vol. 329).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Process Monitoring
Process monitoring
Cost Model
Likelihood
Costs

Datasets

Road traffic fine management process

de Leoni, M. (Ontwerper), Mannhardt, F. (Ontwerper), 4TU.Centre for Research Data, 2015

Dataset

Pers/media

BPM-11-16

Wil M.P. van der Aalst & Massimiliano de Leoni

20/08/15

1 item van Media-aandacht

Pers / media: Vakinhoudelijk commentaar

Scriptie

Analysis and improvement of process models with respect to key performance indicators: a debt collection case study

Auteur: Syring, A., 28 mei 2018

Begeleider: de Leoni, M. (Afstudeerdocent 1), Schouten, M. (Externe persoon) (Externe coach), Duivesteijn, W. (Afstudeerdocent 2) & Türetken, O. (Afstudeerdocent 2)

Scriptie/masterproef: Master

Bestand

A visual language to check conformance of multi-perspective process models against event logs: definition, implementation, and evaluation

Auteur: van Balkom, R., 28 nov 2016

Begeleider: de Leoni, M. (Afstudeerdocent 1), Mannhardt, F. (Afstudeerdocent 2) & Chituc, C. (Afstudeerdocent 2)

Scriptie/masterproef: Master

Clustering low-level events into activities: a time-based approach

Auteur: Dündar, S., 26 nov 2018

Begeleider: de Leoni, M. (Afstudeerdocent 1), Eshuis, R. (Afstudeerdocent 2) & Menkovski, V. (Afstudeerdocent 2)

Scriptie/masterproef: Master

Bestand

Creating a workflow template by using goal based BPMN approach and stage gate methodology in project portfolio management area

Auteur: Tolan, G., 31 aug 2017

Begeleider: Eshuis, H. (Afstudeerdocent 1), de Leoni, M. (Afstudeerdocent 2), Goorden, J. (Externe coach) & Casati, F. (Externe persoon) (Externe coach)

Scriptie/masterproef: Master

Bestand

Declarative vs procedural languages for data-aware compliance checking: a case study in finance

Auteur: Schouten, M., 31 okt 2015

Begeleider: de Leoni, M. (Afstudeerdocent 1), Dees, M. (Externe coach), Eshuis, H. (Afstudeerdocent 2) & Zannone, N. (Afstudeerdocent 2)

Scriptie/masterproef: Master

Bestand