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Team > Dr. Lars Ackermann

Overview
Overview
Ackermann_Lars Dr. Lars Ackermann
Ackermann_Lars

Faculty of Mathematics, Physics and Computer Science
Institute for Computer Science


Research Interests

  • Declarative Process Mining
  • Data Science Technologies
Ackermann_Lars

Faculty of Mathematics, Physics and Computer Science
Institute for Computer Science


Selected Publications

2018

Schönig, Stefan; Jasinski, Richard; Ackermann, Lars; Jablonski, Stefan
Deep Learning Process Prediction with Discrete and Continuous Data Features
Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering - s.l., 2018

Schönig, Stefan; Ackermann, Lars; Jablonski, Stefan
Towards an Implementation of Data and Resource Patterns in Constraint-based Process Models
International Conference on Model-Driven Engineering and Software Development (Modelsward) - Funchal, Madeira, Portugal: SCITEPRESS Science and Technology Publications, 2018

Schönig, Stefan; Ackermann, Lars; Jablonski, Stefan; Ermer, Andreas
An Integrated Architecture for IoT-Aware Business Process Execution
Enterprise, Business-Process and Information Systems Modeling - Cham: Springer, 2018

2017

Schönig, Stefan; Ackermann, Lars; Jablonski, Stefan
DPIL Navigator 2.0: Multi-Perspective Declarative Process Execution
In: Clarisó, Robert ; Leopold, Henrik ; Mendling, Jan ; van der Aalst, Wil ; Kumar, Akhil ; Pentland, Brian ; Weske, Mathias(ed.): Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Management (BPM 2017) - Aachen, 2017 (CEUR Workshop Proceedings; 1920)
http://ceur-ws.org/Vol-1920/BPM_2017_paper_159.pdf

2016

Baumann, Michaela; Baumann, Michael Heinrich; Ackermann, Lars; Schönig, Stefan; Jablonski, Stefan
Ansätze zum Ähnlichkeitsabgleich von deklarativen Geschäftsprozessmodellen
In: Mayr, Heinrich C. ; Pinzger, Martin(ed.): INFORMATIK 2016 - Bonn: Köllen, 2016. - pp. 733-738 . - (Proceedings / GI-Edition; 259) (Lecture Notes in Informatics)
http://subs.emis.de/LNI/Proceedings/Proceedings259 ...

Ackermann, Lars; Schönig, Stefan; Jablonski, Stefan
Towards Simulation- and Mining-based Translation of Resource-aware Process Models
In: Dumas, Marlon ; Fantinato, Marcelo(ed.): Business process management workshops 2016 : revised papers - Cham: Springer, 2016. - pp. 359-371 . - (Lecture Notes in Business Information Processing; 281)
doi:10.1007/978-3-319-58457-7_26 ...

Ackermann, Lars; Schönig, Stefan; Jablonski, Stefan
Towards Simulation-and Mining-based Translation of Process Models
In: Pergl, Robert(ed.): Enterprise and Organizational Modeling and Simulation : 12th International Workshop, EOMAS 2016, held at CAiSE 2016 Ljubljana, Slovenia, June 13, 2016 : selected papers - Cham, Switzerland: Springer, 2016. - pp. 3-21 . - (Lecture Notes in Business Information Processing; 272)
doi:10.1007/978-3-319-49454-8_1 ...

Ackermann, Lars; Schönig, Stefan; Jablonski, Stefan
Simulation of Multi-perspective Declarative Process Models
In: Dumas, Marlon ; Fantinato, Marcelo(ed.): Business process management workshops 2016 : revised papers - Cham: Springer, 2016. - pp. 61-73 . - (Lecture notes in business information processing; 281)
doi:10.1007/978-3-319-58457-7_5 ...

Ackermann, Lars; Schönig, Stefan
MuDePS: Multi-perspective Declarative Process Simulation
In: Azevedo, Leonardo ; Cabanillas, Cristina(ed.): BPM 2016 Demonstration Track : proceedings - Aachen, 2016. - pp. 12-16 . - (CEUR workshop proceedings; 1789)

2015

Ackermann, Lars; Schönig, Stefan; Zeising, Michael; Jablonski, Stefan
Natural Language Generation for Declarative Process Models
In: Barijs, Joseph ; Pergl, Robert ; Babkin, Eduard(ed.): Enterprise and Organizational Modeling and Simulation : 11th International Workshop, EOMAS 2015, Held at CAiSE 2015, Stockholm, Sweden, June 8-9, 2015, Selected Papers - Cham, Switzerland: Springer, 2015. - pp. 3-19 . - (Lecture Notes in Business Information Processing; 231)
doi:10.1007/978-3-319-24626-0_1 ...

Ackermann_Lars

Faculty of Mathematics, Physics and Computer Science
Institute for Computer Science


Dr. Lars Ackermann
Research Assistant

Phone: +49 (0) 921 55 76 23
E-mail: lars.ackermann@uni-bayreuth.de


Webmaster: Dr. Stefan Schönig

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