Runner-up Best Paper Award at CAISE2025

WST member Han van der Aa, together with Alexander Kraus and Keyvan Amiri Elyasi (from the University of Mannheim) have received a runner-up best paper award at the 37th International Conference on Advanced Information Systems Engineering (CAISE 2025) for their paper titled "On the Use of Steady-State Detection for Process Mining: Achieving More Accurate Insights".

The CAISE 2025 conference took place in Vienna this year. The awarded paper explores the possibility of using steady-state detection techniques in process mining to explicitly differentiate between time periods when a process is in a relatively stable state and when it is subject to increased volatility. This distinction helps avoid misleading insights and leads to more accurate results for many downstream process mining tasks. The pre-print can be found here.