Mahmoud Shoush

According to our database, Mahmoud Shoush authored at least 10 papers between 2021 and 2026.

Collaborative distances:

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

2026

Supporting Analysts and Managers to Utilize Prescriptive Process Monitoring: A User Interface Design and Evaluation.

Kateryna Kubrak, Fredrik Milani, Alexander Nolte, Lana Botchorishvili, Marlon Dumas, Mahmoud Shoush

ACM Trans. Manag. Inf. Syst., March, 2026

2025

Prescriptive Process Monitoring Under Resource Constraints: A Reinforcement Learning Approach.

Mahmoud Shoush, Marlon Dumas

Künstliche Intell., 2025

White box specification of intervention policies for prescriptive process monitoring.

Mahmoud Shoush, Marlon Dumas

Data Knowl. Eng., 2025

SynthGuard: Redefining Synthetic Data Generation with a Scalable and Privacy-Preserving Workflow Framework.

Eduardo Brito, Mahmoud Shoush, Kristian Tamm, Paula Etti, Liina Kamm

Proceedings of the Availability, Reliability and Security, 2025

2023

Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processes.

Mahmoud Shoush, Marlon Dumas

Proceedings of the 2nd International Workshop on Process Management in the AI Era (PMAI 2023) co-located with 31st International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

Kairos: A Tool for Prescriptive Monitoring of Business Processes.

Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Marlon Dumas, Alexander Nolte, Mahmoud Shoush, Zhaosi Qu

Proceedings of the Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023), 2023

Prescriptive Monitoring of Business Processes Under Uncertainty and Resource Constraints.

Mahmoud Shoush

Proceedings of the Doctoral Consortium Papers Presented at the 35th International Conference on Advanced Information Systems Engineering (CAiSE 2023), 2023

Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning.

Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy, Mahmoud Shoush, Irene Teinemaa

Proceedings of the Advanced Information Systems Engineering, 2023

2022

When to Intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints.

Mahmoud Shoush, Marlon Dumas

Proceedings of the Business Process Management Forum, 2022

2021

Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach.

Mahmoud Shoush, Marlon Dumas

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