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About

Luka Abb is a researcher at the intersection of business process management (BPM), process mining, and artificial intelligence, with a growing focus on the transformative role of large language models (LLMs) in automating and enhancing organizational workflows. His most impactful contribution, "Large Language Models Can Accomplish Business Process Management Tasks" (2024), has already garnered 80 citations, signaling its significance in demonstrating how LLMs can interpret unstructured textual information to support complex BPM activities. Alongside this, Abb has made foundational contributions to the modeling and analysis of user interaction logs — high-resolution event records capturing low-level human-computer interactions such as clicks and form inputs — developing reference data models that bridge process mining and real-world system behavior. His work on robotic process automation (RPA) further extends these interests, exploring how automation technologies can be grounded in process mining insights and applied in regulated industrial settings. With over 120 cumulative citations across his publications, Abb's research equips both academics and practitioners with rigorous frameworks for understanding, automating, and improving how humans and systems collaborate within business processes.