Mahsa Pourbafrani

According to our database, Mahsa Pourbafrani authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Analyzing Data Streams from Cyber-Physical-Systems: A Case Study.

Harry H. Beyel, Omar Makke, Mahsa Pourbafrani, Oleg Gusikhin, Wil M. P. van der Aalst

SN Comput. Sci., August, 2024

Evaluation of Study Plans using Partial Orders.

Christian Rennert, Mahsa Pourbafrani, Wil M. P. van der Aalst

CoRR, 2024

2023

TraVaG: Differentially Private Trace Variant Generation Using GANs.

Majid Rafiei, Frederik Wangelik, Mahsa Pourbafrani, Wil M. P. van der Aalst

Proceedings of the Research Challenges in Information Science: Information Science and the Connected World, 2023

Extracting Rules from Event Data for Study Planning.

Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani, Gyunam Park, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst

Proceedings of the Process Mining Workshops, 2023

Discovering Object-Centric Process Simulation Models.

Benedikt Knopp, Mahsa Pourbafrani, Wil M. P. van der Aalst

Proceedings of the 5th International Conference on Process Mining, 2023

Data-Driven Simulation In Process Mining: Introducing A Reference Model.

Mahsa Pourbafrani, Wil M. P. van der Aalst

Proceedings of the 37th ECMS International Conference on Modelling and Simulation, 2023

Steady State Estimation for Business Process Simulations.

Mahsa Pourbafrani, Niels Lücking, Matthieu Lucke, Wil M. P. van der Aalst

Proceedings of the Business Process Management Forum, 2023

2022

Discovering System Dynamics Simulation Models Using Process Mining.

Mahsa Pourbafrani, Wil M. P. van der Aalst

IEEE Access, 2022

Interactive Business Process Comparison Using Conformance and Performance Insights - A Tool.

Mahsa Pourbafrani, Majid Rafiei, Alessandro Berti, Wil M. P. van der Aalst

Proceedings of the Research Challenges in Information Science, 2022

Hybrid Business Process Simulation: Updating Detailed Process Simulation Models Using High-Level Simulations.

Mahsa Pourbafrani, Wil M. P. van der Aalst

Proceedings of the Research Challenges in Information Science, 2022

A Tool for Business Processes Diagnostics.

Mahsa Pourbafrani, Firas Gharbi, Wil M. P. van der Aalst

Proceedings of the Service-Oriented Computing - ICSOC 2022 Workshops - ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29, 2022

Process Diagnostics at Coarse-grained Levels.

Mahsa Pourbafrani, Firas Gharbi, Wil M. P. van der Aalst

Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

2021

A Python Extension to Simulate Petri nets in Process Mining.

Mahsa Pourbafrani, Sandhya Vasudevan, Faizan Zafar, Yuan Xingran, Ravikumar Singh, Wil M. P. van der Aalst

CoRR, 2021

SIMPT: Process Improvement Using Interactive Simulation of Time-Aware Process Trees.

Mahsa Pourbafrani, Shuai Jiao, Wil M. P. van der Aalst

Proceedings of the Research Challenges in Information Science, 2021

Interactive Process Improvement Using Simulation of Enriched Process Trees.

Mahsa Pourbafrani, Wil M. P. van der Aalst

Proceedings of the Service-Oriented Computing - ICSOC 2021 Workshops, 2021

Remaining Time Prediction for Processes with Inter-case Dynamics.

Mahsa Pourbafrani, Shreya Kar, Sebastian Kaiser, Wil M. P. van der Aalst

Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021

Extracting Process Features from Event Logs to Learn Coarse-Grained Simulation Models.

Mahsa Pourbafrani, Wil M. P. van der Aalst

Proceedings of the Advanced Information Systems Engineering, 2021

Forward-Looking Process Mining.

Mahsa Pourbafrani, Wil M. P. van der Aalst

Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2021 co-located with 19th International Conference on Business Process Management (BPM 2021), Rome, Italy, September 6th - to, 2021

2020

Supporting Decisions in Production Line Processes by Combining Process Mining and System Dynamics.

Mahsa Pourbafrani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Proceedings of the Intelligent Human Systems Integration 2020, 2020

Semi-automated Time-Granularity Detection for Data-Driven Simulation Using Process Mining and System Dynamics.

Mahsa Pourbafrani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Proceedings of the Conceptual Modeling - 39th International Conference, 2020

Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP).

Wil M. P. van der Aalst, Tobias Brockhoff, Anahita Farhang Ghahfarokhi, Mahsa Pourbafrani, Merih Seran Uysal, Sebastiaan J. van Zelst

Proceedings of the Data Management Technologies and Applications, 2020

PMSD: Data-Driven Simulation Using System Dynamics and Process Mining.

Mahsa Pourbafrani, Wil M. P. van der Aalst

Proceedings of the Best Dissertation Award, 2020

Supporting Automatic System Dynamics Model Generation for Simulation in the Context of Process Mining.

Mahsa Pourbafrani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Proceedings of the Business Information Systems - 23rd International Conference, 2020

2019

Scenario-Based Prediction of Business Processes Using System Dynamics.

Mahsa Pourbafrani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2019 Conferences, 2019