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Personal profile

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

 

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Industry Engineering & Materials Science
Information systems Engineering & Materials Science
Flow control Engineering & Materials Science
Decision trees Engineering & Materials Science
Insurance Engineering & Materials Science
Disasters Engineering & Materials Science
Personal digital assistants Engineering & Materials Science
Mobile ad hoc networks Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2006 2018

1 Citation (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. (eds.). Cham: Springer, p. 219-235 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11157 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Soundness
Process Model
Integrated Model
Petri nets
Verify
1 Citation (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. (eds.). Cham: Springer, p. 91-107 17 p. (Lecture Notes in Business Information Processing; vol. 329)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Process Monitoring
Process monitoring
Cost Model
Likelihood
Costs
1 Citation (Scopus)

Aligning partially-ordered process-execution traces and models using automated planning

de Leoni, M., Lanciano, G. & Marrella, A., 1 Jan 2018, 28th International Conference on Automated Planning and Scheduling, ICAPS 2018. p. 321-329 9 p. (Proceedings International Conference on Automated Planning and Scheduling, ICAPS)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Planning
Scalability
Information systems
Alignment
Industry

Discovering high-level BPMN process models from event data

Kalenkova, A., Burattin, A., de Leoni, M., van der Aalst, W. & Sperduti, A., 1 Jan 2018, (Accepted/In press) In : Business Process Management Journal.

Research output: Contribution to journalArticleAcademicpeer-review

Business process model
Process model
Process mining
Diagrams
Integrated
7 Citations (Scopus)

Guided process discovery: a pattern-based approach

Mannhardt, F., de Leoni, M., Reijers, H. A., van der Aalst, W. M. P. & Toussaint, P., Jul 2018, In : Information Systems. 76, p. 1-18 18 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Information systems

Datasets

Road traffic fine management process

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

Dataset

Courses

Advanced process mining

1/09/15 → …

Course

Introduction to process mining

1/09/15 → …

Course

Process modeling and simulation

1/09/18 → …

Course

Student theses

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

Author: Syring, A., 28 May 2018

Supervisor: de Leoni, M. (Supervisor 1), Schouten, M. (External person) (External coach), Duivesteijn, W. (Supervisor 2) & Türetken, O. (Supervisor 2)

Student thesis: Master

File

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

Author: van Balkom, R., 28 Nov 2016

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

Student thesis: Master

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

Author: Tolan, G., 31 Aug 2017

Supervisor: Eshuis, H. (Supervisor 1), de Leoni, M. (Supervisor 2), Goorden, J. (External coach) & Casati, F. (External person) (External coach)

Student thesis: Master

File

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

Author: Schouten, M., 31 Oct 2015

Supervisor: de Leoni, M. (Supervisor 1), Dees, M. (External coach), Eshuis, H. (Supervisor 2) & Zannone, N. (Supervisor 2)

Student thesis: Master

File

Enforcing authorization constraints in workflows by using a security monitor

Author: Darfoufi, R., 30 Jun 2016

Supervisor: den Hartog, J. (Supervisor 1), Turkmen, F. (Supervisor 2) & de Leoni, M. (Supervisor 2)

Student thesis: Master

File