2022 - Research.com Best Scientist Award
2022 - Research.com Computer Science in Germany Leader Award
2021 - IEEE Fellow For contributions to process mining and workflow processes
2020 - ACM Fellow For contributions to process mining, process management, and data science
2014 - Royal Netherlands Academy of Arts and Sciences
2011 - Member of Academia Europaea
Fellow of the International Federation for Information Processing (IFIP) for his impressive foundational contributions to Business Process Management by developing workflow management patterns and the YAWL language for workflow management
Wil M. P. van der Aalst focuses on Business process, Process mining, Petri net, Workflow and Process modeling. His work is dedicated to discovering how Business process, Process management are connected with Information management and other disciplines. Wil M. P. van der Aalst combines subjects such as Data mining, Business process discovery, Data science, Event and Conformance checking with his study of Process mining.
He has included themes like Correctness and Theoretical computer science in his Petri net study. His Workflow research incorporates elements of Service-oriented architecture, Collaborative software, Exception handling and Document management system. The concepts of his Process modeling study are interwoven with issues in Machine learning, Software and Decision support system, Artificial intelligence.
His primary areas of investigation include Process mining, Process modeling, Business process, Event and Business process discovery. His studies deal with areas such as Conformance checking, Data mining and Data science as well as Process mining. Wil M. P. van der Aalst works mostly in the field of Process modeling, limiting it down to topics relating to Petri net and, in certain cases, Theoretical computer science and Concurrency, as a part of the same area of interest.
Wil M. P. van der Aalst has researched Business process in several fields, including Software engineering, Workflow and Process management. His Software engineering study incorporates themes from Business Process Execution Language, Database, Systems engineering and Workflow management system, XPDL. His Event research incorporates themes from Variety and Resource.
Wil M. P. van der Aalst spends much of his time researching Process mining, Event, Process modeling, Business process discovery and Data mining. The Process mining study combines topics in areas such as Data science, Context, Software engineering and Conformance checking. His Event research is multidisciplinary, incorporating perspectives in Distributed computing, Object, Resource, System dynamics and Data structure.
His study looks at the relationship between Process modeling and topics such as Business process management, which overlap with Workflow. Business process discovery is a subfield of Business process modeling that Wil M. P. van der Aalst explores. His research in Data mining tackles topics such as Graph which are related to areas like Time complexity and Uncertain data.
His main research concerns Process mining, Event, Process modeling, Business process discovery and Data mining. His Process mining research is under the purview of Business process. His work on Business process management as part of general Business process research is often related to Sample, thus linking different fields of science.
His study in Process modeling is interdisciplinary in nature, drawing from both Data modeling, Distributed computing, Business Process Model and Notation, Graph and Abstract process. His study explores the link between Business process discovery and topics such as Object that cross with problems in Information retrieval and Identifier. His research integrates issues of Context, Chaotic and Trajectory in his study of Data mining.
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Wil Van Der Aalst.
Communications of The ACM (2012)
Workflow Management: Models, Methods, and Systems
Wmp Wil van der Aalst;KM Kees van Hee.
Business process management: a survey
Wil M. P. Van Der Aalst;Arthur H. M. Ter Hofstede;Mathias Weske.
business process management (2003)
Getting the Data
Wil M. P. van der Aalst.
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Wil M. P. van der Aalst.
Process Aware Information Systems: Bridging People and Software Through Process Technology
Marlon Dumas;Wil M. van der Aalst;Arthur H. ter Hofstede.
Process Mining: Data Science in Action
Wil van der Aalst.
Verification of Workflow Nets
Wil M. P. van der Aalst.
applications and theory of petri nets (1997)
Process Mining Manifesto
Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri.
business process management (2012)
Case handling: a new paradigm for business process support
Wil M. P. van der Aalst;Mathias Weske.
data and knowledge engineering (2005)
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