Conformance Checking: Timed, Stochastic, and Systemic Trace Insights

Conformance checking helps us understand how well the process behavior recorded in event logs matches the process behavior prescribed by a process model. The goal of this project is to advance conformance checking methods by integrating timed and stochastic aspects of process behavior and optimizing alignments across entire event logs. We will:

Improving Conformance Checking Algorithms with Ground Truth-Driven Insights

Conformance checking helps us understand how well the process behavior recorded in event logs matches the process behavior prescribed by a process model. The goal of this project is to improve conformance checking methods by using a more reliable way of evaluating and validating them. We will:

AIDE: AI Driving Education

Background and General Information AIDE (AI Driving Education) responds to the growing presence of large language model (LLM) tools like ChatGPT, Cursor, and Copilot in academic environments. These tools are increasingly used by students, influencing both how they learn and how their work is assessed. The proposal addresses this shift by embedding responsible AI tool Read More …

Abd Alrhman Abu Sbeit

Abd Alrhman Abu Sbeit is a scientific engineer at Eindhoven University of Technology – Data Science Domain – Process Analytics cluster. He works under the supervision of Natalia Sidorova on the AIDE project on Improving Conformance Checking Algorithms with Ground Truth-Driven Insights. Earlier, he worked as a scientific engineer on the AutoTwin project under the Read More …

Natalia Sidorova

Dr. Natalia Sidorova is assistant professor at the PA group. She actively works on topics related to process modeling and verification. The application domains include business processes and distributed systems. She has published more than 70 conference and journal papers. She is active in the Health and Wellbeing Action Line of EIT ICT Labs, taking Read More …

Renata Medeiros de Carvalho

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