Pontificia Universidad Católica de Chile Pontificia Universidad Católica de Chile

JORGE MUÑOZ

Profesor Asociado

Especialidad: Process Mining, Process Oriented Data Science

Departamento de Ciencia de la Computación

jmun@ing.puc.cl
+562 2354 1271

Líneas de Investigación

Process Mining, Process Oriented Data Science, Process Analysis in Education, Process Analysis in Healthcare

Publicaciones

Niels Martin, Nils Wittig, Jorge Munoz-Gama:Using Process Mining in Healthcare. Process Mining Handbook 2022: 416-444 https://doi.org/10.1007/978-3-031-08848-3_14 (2022)
Springer 416-444
J. Munoz-Gama, V. Galvez, R. de la Fuente, M. Sepúlveda, R. Fuentes. “Interactive Process Mining for Medical Training”. In Interactive Process Mining in Healthcare, C. Fernandez-Llatas (editor). Springer, Cham, Switzerland, pp. 233-242, 2021. (2021)
Capítulo de libro Interactive Process Mining in Healthcare 233-242
C. Fernandez-Llatas, J. Benedi, J. Munoz-Gama, M. Sepúlveda, E. Rojas, S. Vera, V. Traver. “Interactive Process Mining in Surgery with Real Time Location Systems: Interactive Trace Correction”. In Interactive Process Mining in Healthcare, C. Fernandez-Llatas (editor). Springer, Cham, Switzerland, pp. 181-202, 2021. (2021)
Capítulo de libro Interactive Process Mining in Healthcare 181-202
C. Fernandez-Llatas, J. Munoz-Gama, N. Martin, O. Johnson, M. Sepúlveda, E. Helm. “Process Mining in Healthcare”. In Interactive Process Mining in Healthcare, C. Fernandez-Llatas (editor). Springer, Cham, Switzerland, pp. 41-52, 2021. (2021)
Capítulo de libro Interactive Process Mining in Healthcare 41-52
E. Rojas, A. Cifuentes, A. Burattin, J. Munoz-Gama, M. Sepúlveda, D. Capurro. Analysis of Emergency Room Episodes Duration Through Process Mining. Lecture Notes in Business Information Processing, vol. 342, n. 1, pp. 251–263, 2019. https://doi.org/10.1007/978-3-030-11641-5_20. (2019)
Lecture Notes in Business Information Processing 342 1 251–263
C. Fernandez-Llatas, G. Ibanez-Sanchez, A. Celda, J. Mandingorra, L. Aparici-Tortajada, A. Martinez-Millana, J. Munoz-Gama, M. Sepúlveda, E. Rojas, V. Gálvez, D. Capurro, V. Traver. Analyzing Medical Emergency Processes with Process Mining: The Stroke Case. Lecture Notes in Business Information Processing, vol. 342, n. 1, pp. 214–225, 2019. https://doi.org/10.1007/978-3-030-11641-5_17. (2019)
Lecture Notes in Business Information Processing 342 1 214–225
W.L.J. Lee, J. Munoz-Gama, H.M.W. Verbeek, W.M.P. van der Aalst, M. Sepúlveda. Improving Merging Conditions for Recomposing Conformance Checking. Lecture Notes in Business Information Processing, vol. 342, n. 1, pp. 31–43, 2019. https://doi.org/10.1007/978-3-030-11641-5_3. (2019)
Lecture Notes in Business Information Processing 342 1 31–43
R. Lira, J. Salas-Morales, R. de la Fuente, R. Fuentes, M. Sepúlveda, M. Arias, V. Herskovic, J. Munoz-Gama. Tailored Process Feedback Through Process Mining for Surgical Procedures in Medical Training. Lecture Notes in Business Information Processing, vol. 342, n. 1, pp. 163–174, 2019. https://doi.org/10.1007/978-3-030-11641-5_13. (2019)
Lecture Notes in Business Information Processing 342 1 163–174
V. Galvez, C. Meneses, G. Fagalde, J. Munoz-Gama, M. Sepúlveda, R. Fuentes, R. de la Fuente. Understanding Undesired Procedural Behavior in Surgical Training: The Instructor Perspective. Lecture Notes in Business Information Processing, vol. 362, n. 1, pp. 471–482, 2019. https://doi.org/10.1007/978-3-030-37453-2_38. (2019)
Lecture Notes in Business Information Processing 362 1 471–482
M. Arias, J. Munoz-Gama, M. Sepúlveda. Towards a Taxonomy of Human Resource Allocation Criteria. Lecture Notes in Business Information Processing, vol. 308. n. 1, pp. 475-483, 2018. https://doi.org/10.1007/978-3-319-74030-0_37. (2018)
Lecture Notes in Business Information Processing 308 1 475-483
M. Arias, J. Munoz-Gama, M. Sepúlveda. A Multi-criteria Approach for Team Recommendation. Lecture Notes in Business Information Processing, LNBIP, vol. 281, n. 1, pp. 384-396, 2017. (2017)
Lecture Notes in Business Information Processing 281 1 384-396
W.L.J. Lee, H.M.W. Verbeek, J. Munoz-Gama, W.M.P. van der Aalst, M. Sepúlveda. “Replay using recomposition: alignment-based conformance checking in the large”. BPM Demo Track, 15th International Conference on Business Process Management (BPM 2017). CEUR Workshop Proceedings, 1920, 157, 2017. http://ceur-ws.org/Vol-1920/BPM_2017_paper_157.pdf. (2017)
BPM Demo Track, 15th International Conference on Business Process Management (BPM 2017)
M. Arias, E. Rojas, J. Munoz-Gama, M. Sepúlveda. A Framework for Recommending Resource Allocation based on Process Mining. Lecture Notes in Business Information Processing, LNBIP, vol. 256, n. 1, pp. 458-470, 2016. https://doi.org/10.1007/978-3-319-42887-1_37. (2016)
Lecture Notes in Business Information Processing 256 1 458-470
M. Arias, J. Munoz-Gama, M. Sepúlveda. “A Multi-criteria Approach for Team Recommendation”. 1st Workshop on Resource Management in Business Processes (REMA 2016) in the 14th International Business Process Management Conference (BPM 2016). September 2016, Rio de Janeiro, Brazil. (2016)
1st Workshop on Resource Management in Business Processes (REMA 2016) in the 14th International Busi
M. Arias, E. Rojas, J. Munoz-Gama, M. Sepúlveda. “A Framework for Recommending Resource Allocation based on Process Mining”. 3th International Workshop on Decision Mining and Modeling for Business Processes (DeMiMoP 2015) in the 13th International Business Process Management Conference (BPM 2015). September 2015, Innsbruck, Austria. (2015)
3th International Workshop on Decision Mining and Modeling for Business Processes (DeMiMoP 2015)
Seppe K. L. M. vanden Broucke, Jorge Munoz-Gama, Josep Carmona, Bart Baesens, Jan Vanthienen:Event-Based Real-Time Decomposed Conformance Analysis. OTM Conferences 2014: 345-363 (2014)
OTM Conferences 345--363
A General Framework for Precision CheckingJorge Munoz-GamaJosep CarmonaInternational Journal of Innovative Computing, Information and Control (IJICIC), Vol.8 No.7 (B), July 2012 (2012)
International Journal of Innovative Computing, Information and Control 8 7(B)

Biografía

Born in Barcelona, Dr. Jorge Munoz-Gama is an Assistant Professor and Researcher at the Department of Computer Science (DCC), at the Pontificia Universidad Católica de Chile (UC), and co-director of the Process Mining UC research group. Author of the book ‘Conformance Checking and Diagnosis in Process Mining’ (Springer 2016), and member of the IEEE Task Force on Process Mining. Doctor in Computation with Excellent Cum Laude, International Mention and Extraordinary Mention for the Universitat Politecnica de Catalunya (UPC), he received several awards including ‘IEEE Best Process Mining Dissertation Award 2014’ and ‘Celonis Process Mining Thesis Award 2017’. Degree on Informatics Engineering including an exchange at Universitetet i Bergen, and Master on Computation, both for the Universitat Politecnica de Catalunya (UPC) . Long research visiting at the National Institute of Informatics of Japan (NII) and the Eindhoven University of Technology (TU/e).
Research fields of interest include ‘Process Mining’ and ‘Process Oriented Data Science’, specially applied to Education and Healthcare, among other areas. And a huge cinema enthusiast.

Educación

  • PhD, Universitat Politècnica de Catalunya

Premios y Distinciones

Celonis Process Mining Thesis Award 2017
Premi Extraordinari de doctorat UPC 2017
IEEE Best Process Mining Dissertation Award 2014
Best Student Paper Award BPM 2013

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