• 10 Citations
20172019
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Personal profile

Research profile

Renata Medeiros de Carvalho is an Assistant Professor at Eindhoven University of Technology (TU/e)Her research interests are focused on, but not limited to, adaptive and declarative business processes and Business Process Management (BPM)She works in the domain of flexible business processes in particular, and how this can enrich business process models with domain-specific knowledge. 

BPM and BPM systems have only solved the ’easy problems’: 1) business processes where a handful of contingencies handle all situations, and 2) processes where most of the activities can be automated. However, knowledge intensive processes do not lend themselves to such rigid formalizations: both the set of activities to perform, and the content of each activity, depend heavily on a combination of domain-specific knowledge, and the case at hand. Renate is interested in both pragmatic issues of modeling convenience and how flexibility is represented and/or can be detected through recorded data. She is currently conducting research into Object-Centric Behavioral Constraint (OCBC) modeling language, which combines ideas from declarative, constraint-based languages such as Declare, and from data/object modeling techniques (ER, UML, or ORM). 

Academic background

Renata Medeiros de Carvalho received her PhD in Computer Science from the Center of Informatics (CIn), Federal University of Pernambuco (UFPE), Brazil in 2015. She also holds an MSc an BSc in Computer Engineering from the University of Pernambuco (UPE), Brazil. She has also worked as a postdoctoral researcher at LATECE - Laboratory for Research on Technology for Ecommerce in the University of Quebec at Montreal (UQAM).  

She publishes regularly and has been awarded a Xerox University Affairs Committee Grant and NSERC Engage Grant. Renate is also local coordinator of two Master programs: EIT Digital Data Science and Erasmus Mundus Big Data Management and Analytics (BDMA). 

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Research Output 2017 2019

  • 10 Citations
  • 4 Conference contribution
  • 1 Report
  • 1 Phd Thesis 1 (Research TU/e / Graduation TU/e)

Process mining based on object-centric behavioral constraint (OCBC) models

Li, G., 14 May 2019, Eindhoven. 368 p.

Research output: ThesisPhd Thesis 1 (Research TU/e / Graduation TU/e)Academic

Open Access
File
1 Citation (Scopus)

Configurable event correlation for process discovery from object-centric event data

Li, G., Medeiros De Carvalho, R. & van der Aalst, W. M. P., 5 Sep 2018, Proceedings - 2018 IEEE International Conference on Web Services, ICWS 2018 - Part of the 2018 IEEE World Congress on Services. Institute of Electrical and Electronics Engineers (IEEE), p. 203-210 8 p.

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

Enterprise resource planning
Industry
Service-oriented
Correlates

Dealing with artifact-centric systems: a process mining approach

Li, G. & de Carvalho, R. M., 1 Jan 2018, Proceedings of the 9th International Workshop on Enterprise Modeling and Information Systems Architectures (EMISA 2018): Rostock, Germany, May 24thto 25th, 2018. . Fellmann, M. & Sandkuhl, K. (eds.). CEUR-WS.org, p. 80-84 5 p. (CEUR Workshop Proceedings; vol. 2097)

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

Open Access
File
Industry
Enterprise resource planning
Modeling languages
1 Citation (Scopus)

Extracting object-centric event logs to support process mining on databases

Li, G., de Murillas, E. G. L., de Carvalho, R. M. & van der Aalst, W. M. P., 1 Jan 2018, Information Systems in the Big Data Era - CAiSE Forum 2018, Proceedings. Mendling, J. & Mouratidis, H. (eds.). Springer, p. 182-199 18 p. (Lecture Notes in Business Information Processing; vol. 317)

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

Process Mining
Information systems
Many to many
One to many
Multidimensional Data
Open Access
File
Miners

Courses

Student theses

A method for identifying undesired medical treatment variants using process and data mining techniques

Author: Cremers, L., 31 Jul 2018

Supervisor: Vanderfeesten, I. (Supervisor 1), Medeiros de Carvalho, R. (Supervisor 2) & Pechenizkiy, M. (Supervisor 2)

Student thesis: Master

File

Automated datasheet generation: for LED products

Author: Jurado Solis, P., 28 May 2018

Supervisor: Medeiros de Carvalho, R. (Supervisor 1), van der Voort, E. (External person) (External coach) & Yakovets, N. (Supervisor 2)

Student thesis: Master

File

Discovering process models from log skeletons using an evolutionary approach

Author: Hu, X., 31 Aug 2018

Supervisor: Medeiros de Carvalho, R. (Supervisor 1), Verbeek, H. (Supervisor 2) & Firat, M. (Supervisor 2)

Student thesis: Master

File

Invoice approval workflow improvement

Author: Galdo Seara, L., 24 Sep 2018

Supervisor: Medeiros de Carvalho, R. (Supervisor 1) & Jilderda, F. (External coach)

Student thesis: Master

File