Staff Involved

Wil van der Aalst

Position: HGL
Room: MF 7.064
Tel (internal): 4295
Projects: Core, DeLiBiDa, DSC/e & NWO Graduate Program, Philips Flagship, Process Mining in Logistics, RISE BPM
Courses:
Links: Personal home page, Google scholar page, Scopus page, ORCID page, TU/e employee page, DSC/e
Prof.dr.ir. Wil van der Aalst is a full professor of the Process and Data Science (PADS) group at the RWTH in Aachen (Germany) and a part-time professor in the AIS group. His personal research interests include process mining, business process management, workflow management, Petri nets, process modeling, and process analysis.

Joos Buijs

Position: UD
Room: MF 7.062
Tel (internal): 3661
Projects: CoseLoG, EDSA, Phlips Flagship, RISE BPM, TACTICS
Courses: 2IMI20
Links: Personal home page, Google scholar page, Scopus page, ORCID page, TU/e employee page, DSC/e
Joos Buijs' current research interests include Process mining in healthcare and Learning analytics. Next to these research topics Joos is also involved in MOOC creation. Related to the learning analytics of course, we also create MOOCs on the topic of process mining. There is the Coursera MOOC "Process Mining: Data Science in Action". And on July 11, 2016 the first session of the FutureLearn MOOC "Process mining with ProM" will launch, a hands-on MOOC where you learn how you can apply process mining on your own data!

Boudewijn van Dongen

Position: UHD
Room: MF 7.103
Tel (internal): 2181
Projects: 3TU.BSR, BPR4GDPR, DeLiBiDa, Process Mining in Logistics
Courses: 2IMC92, 2IMC97, 2IMI05, 2IMI30, JBG010, Big Data Honors Track
Links: Google scholar page, Scopus page, ORCID page, DBLP page, TU/e employee page
Boudewijn’s research focusses on conformance checking. Conformance checking is considered to be anything where observed behavior, needs to be related to already modeled behavior. Conformance checking is embedded in the larger contexts of Business Process Management and Process Mining. Boudewijn aims to develop techniques and tools to analyze databases and logs of large-scale information systems for the purpose of detecting, isolating, diagnosing and predicting misconformance in the business processes supported by these systems. The notion of alignments play a seminal role in conformance checking and the AIS group is world-leading in the definition of alignments for various types of observed behavior and for various modelling languages.

Massimiliano de Leoni

Position: UD
Room: MF 7.059
Tel (internal): 8430
Projects: Core
Courses: 2IIC0, 2IHI10, 2IMI35, 2IOC0
Links: Personal home page, Google scholar page, Scopus page, ORCID page, DBLP page, TU/e employee page
Dr. Massimiliano de Leoni is assistant professor at the AIS group. His research focuses in the areas of Process-aware Information Systems and Business Process Management, predominantly on multi-perspective process mining, process-aware decision support systems as well as on visualization techniques for business process management and analysis. He has a genuine interest in the practical applications of his research in real-life settings, which led him to concretely develop his ideas in term of software tools and apply them with a large number of organizations world-wide.

Dirk Fahland

Position: UD
Room: MF 7.066
Tel (internal): 4804
Projects: Process Mining in Logistics
Courses: 2IIC0, 2IHI10, 2IMC92, 2IMC97, 2IMI10, 2IOC0, JBG030, JBG040, JBG050
Links: Personal home page, Google scholar page, Scopus page, DBLP page, TU/e employee page
Dirk is Assistant Professor (UD) in the AIS group. He completed his PhD with summa cum laude at Humboldt-Univeristät zu Berlin and Eindhoven University of Technology in 2010. His research interests include distributed processes and systems built from distributed components for which he investigates modeling systems (using process modeling languages, Petri nets, or scenario-based techniques), analyzing systems for errors or misconformances (through verification or simulation), and process mining/specification mining techniques for discovering system models from event logs. He particularly focuses on distributed system with multi-instance characteristics and their synchronizing and interacting behaviors. Dirk published his research results in over 40 articles at international conferences and journals and implemented them in a number of software tools.

Marwan Hassani

Position: UD
Room: MF 7.097A
Tel (internal): 3887
Projects: BPR4GDPR
Courses: 2IAB0, 2IIC0, 2IHI10, Big Data Honors Track, JM0210
Links: Personal home page, Google scholar page, Scopus page, ORCID page, DBLP page, TU/e employee page
Dr. Marwan Hassani is assistant professor at the AIS group. His research interests include streaming process mining, stream data mining, sequential pattern mining of multiple streams, efficient anytime clustering of big data streams and exploration of evolving graph data. Marwan received his PhD (2015) from RWTH Aachen University. He coauthored more than 45 scientific publications and serves on several program committees.

Farideh Heidari

Position: UD
Room: MF 7.119
Tel (internal): 2257
Projects:
Courses:
Links: Personal home page, Google scholar page, Scopus page, ORCID page, TU/e employee page
Farideh has a multi-disciplinary educational and professional background: math and physics, mechanical and industrial engineering, and PhD in information systems. Her unique blend of experiences in academic and industrial areas has made Farideh a person with an original point of view and gave Farideh a broad perspective to life and a goal to aim. This enables Farideh to bring industry and research together to provide organisations with effective solutions to their businesses.

Wim Nuijten

Position: HGL
Room: Flex
Tel (internal): 3877 (2733)
Projects: DAIPEX
Courses:
Links: Scopus page, TU/e employee page
Prof. Wim Nuijten is a part-time professor at the AIS group focusing on Intelligent Information Systems. He is an expert in the area of constraint programming and advanced planning and scheduling. Currently, he is working for Quintiq, a company leading in the area of advanced planning and scheduling. Before, he worked within IBM and ILOG.

Hajo Reijers

Position: HGL
Room: Flex
Tel (internal): 3629
Projects: CoseLoG, TACTICS
Courses: 2IMI00
Links: Personal home page, Google scholar page, Scopus page, ORCID page, DBLP page, TU/e employee page
Prof.dr.ir. Hajo Reijers is a part-time, full professor of Information Systems at the Technische Universiteit Eindhoven (TU/e). He is also a full professor in Business Informatics at VU University Amsterdam. He is also affiliated to the TiasNimbas Business School, where he is involved as one of the core lecturers in the Executive Master of Operations and Supply Chain Excellence (MOS) program. Hajo Reijers is one of the founders of the Business Process Management Forum, a Dutch platform for the development and exchange of knowledge between industry and academia. Hajo Reijers received a PhD degree in Computer Science (2002), an MSc in Computer Science (1994), and an MSc in Technology and Society (cum laude) (1994), all from TU/e. Hajo Reijers wrote his PhD thesis while he was a manager with Deloitte. Previously, he also worked for Bakkenist Management Consultants and Accenture. As a consultant, he has been involved in various reengineering projects and workflow system implementations, particularly for governmental agencies and organizations offering financial services. From 2012 to 2014, Hajo Reijers headed the BPM R&D group of Perceptive Software. The focus of Hajo Reijers' academic research is on business process redesign, workflow management, conceptual modeling, process mining, and simulation. On these topics, he published over 150 scientific papers, chapters in edited books, and articles in professional journals.

Natalia Sidorova

Position: UD
Room: MF 7.105
Tel (internal): 3705
Projects: Phlips Flagship, TACTICS
Courses: 2IAB0, 2IMI15, 2IMI35, DASU20
Links: Personal home page, Google scholar page, Scopus page, DBLP page, TU/e employee page
Dr. Natalia Sidorova is assistant professor at the AIS group. She actively works on topics related to process modeling and verification. The application domains include business processes and distributed systems. She has published more than 70 conference and journal papers. She is active in the Health and Wellbeing Action Line of EIT ICT Labs, taking lead of projects towards the development of innovative services for disease prevention making use of modern sensor technologies together with mining, conformance analysis, prediction and recommendation techniques.