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About

Wil M. P. van der Aalst is a distinguished computer scientist whose research sits at the intersection of process mining, robotic process automation (RPA), and artificial intelligence. Widely recognized as a pioneer in process mining, van der Aalst has extended his foundational work into the rapidly evolving domain of RPA, where his 2018 paper on the subject has garnered an impressive 644 citations, establishing it as a landmark reference in the field. His research probes the complex boundary between human and machine intelligence, as reflected in his influential work on Hybrid Intelligence, which interrogates when and whether automation should replace human judgment in organizational tasks. Beyond automation theory, van der Aalst has advanced self-learning approaches to RPA, applied the Pareto Principle to task and process mining, and explored multi-agent activity log analysis. More recently, his contributions to Actionable AI and the Internet of Production signal a broadening focus toward Industry 4.0 and smart manufacturing ecosystems. Through tools like ActivityGen, he continues pushing the frontier of desktop activity analysis. Van der Aalst's body of work has profoundly shaped how organizations understand, model, and optimize their processes through data-driven and intelligent automation techniques.