Wil M. P. van der Aalst is affiliated with RWTH Aachen University in Germany. Their research spans multiple fields, predominantly in Computer Science, Business, Management and Accounting, and Engineering. The scientist's scholarly focus includes various subfields such as Management Information Systems, Information Systems, Industrial and Manufacturing Engineering, Artificial Intelligence, and Management Science and Operations Research.
The primary topics covered in their work include Business Process Modeling and Analysis, Service-Oriented Architecture and Web Services, Semantic Web and Ontologies, Data Quality and Management, Flexible and Reconfigurable Manufacturing Systems, Big Data and Business Intelligence, and Manufacturing Process and Optimization.
Coauthors frequently collaborating with Wil M. P. van der Aalst are:
The scientist has published extensively in several venues, with the most frequent publication outlets being:
Notable recent papers include:
Wil M. P. van der Aalst has contributed to book publications with Springer Science+Business Media, which include titles such as:
Additionally, works published under the Interdisciplinary Excellence Accelerator Series include:
The scientist has received several awards including:
Wil van der Aalst;Kees van Hee
W. M. P. Van Der Aalst;A. H. M. Ter Hofstede;B. Kiepuszewski;A. P. Barros
W.M.P. van der Aalst
Wil Van Der Aalst
W. van der Aalst;T. Weijters;L. Maruster
Wil M. P. Van Der Aalst;Arthur H. M. Ter Hofstede;Mathias Weske
Wil van der Aalst
Wil van der Aalst
Wmp Wil Aalst;van der
W. M. P. van der Aalst;A. H. M. ter Hofstede
Wil M. P. van der Aalst
Wil M. P. van der Aalst
Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri
W. M. P. van der Aalst;B. F. van Dongen;J. Herbst;L. Maruster
Marlon Dumas;Wil M. van der Aalst;Arthur H. ter Hofstede
Wil M. P. van der Aalst
A. Rozinat;W. M. P. van der Aalst
B. F. van Dongen;A. K. A. de Medeiros;H. M. W. Verbeek;A. J. M. M. Weijters
Christian W. Günther;Wil M. P. Van Der Aalst
W. M. P. van der Aalst;H. A. Reijers;A. J. M. M. Weijters;B. F. van Dongen
W.M.P. van der Aalst;A.H.M. ter Hofstede
Wil van der Aalst
If you think any of the details on this page are incorrect, let us know.
Exploring online education options can open up a variety of career pathways beyond a traditional computer science degree. Many students interested in tech or business are looking for cost-effective alternatives, such as the cheapest MBA programs available online. These affordable MBA degrees help professionals strengthen management skills, often with a focus on technology leadership.
If time is a factor, 1 year master's programs offer the chance to quickly gain specialized skills and credentials in fields like data science, analytics, or IT. Rapidly completing your degree can help you enter the workforce or advance your career sooner.
For those seeking a quicker or more accessible route, there are various easy degrees that pay well in technology and business. These programs typically focus on job-ready skills and can lead to lucrative positions with shorter study times.
Additionally, the rise of artificial intelligence offers exciting online master's options. If affordability is a concern, research the cheapest online masters in artificial intelligence to specialize in a rapidly growing field. These targeted degrees can offer strong career prospects in AI and machine learning, making them a smart investment for the future.
Argonne National Laboratory
Cornell University
NTT (Japan)
University of Bern
Roskilde University
University of Pittsburgh
National Institutes of Health
University of Cambridge
KU Leuven
Research Triangle Park Foundation
Soochow University
University of Münster
Fudan University
TU Dortmund University
IESEG School of Management
National Institutes of Health