About Gert Janssenswillen

Gert Janssenswillen obtained a Master of Business and Information Systems Engineering at Hasselt University. He is currently a PhD student at the Business Informatics research group at Hasselt University, where his focus lies in the field of business process management. In particular, his main interest goes to the quality measurement of discovered process models. His research has been presented at international conferences such as BPM and useR. Through the creation of R-packages such as edeaR, petrinetR and bupaR, he has put forth several efforts to enable process analysis using R - an increasingly popular environment for data science. His affection for R also emerges from his teaching activities, where he gives lectures on explorative and descriptive data analysis for students of Business Engineering.

The future of conformance checking: identifying challenges and opportunities

On the 8 and 9th of February 2018, we gathered with an international group of process mining researchers to discuss the many challenges in the field of conformance checking. The event was organized by the Flemish Scientific Research Community on Process Mining (htpps://www.srcprocessmining.org), a community that is led by our research group, together with KULeuven and UGent. The brainstorm session was attended by researchers from the Polytechnic University of Catalonia, the Pontifical Catholic University of Chile,  RWTH Aachen University, the Technical University of Eindhoven and the Wirtschaftsuniversität Wien.

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bupaR: Business Process Analysis with R

Organizations are nowadays storing huge amounts of data related to various business processes. Process mining provides different methods and techniques to analyze and improve these processes. This allows companies to gain a competitive advantage. Process mining initiated with the discovery of work-flow models from event data. However, over the past 20 years, the process mining field has evolved  into a broad and diverse research discipline.

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useR!2017: Analysing Learning Patterns with R

Teaching R to students with little to no experience in programming or data analysis is a challenging task. Our talk at useR!2017 showed how different ingredients of our course Exploratory and Descriptive Data Analysis at UHasselt are used to facilitate the learning of R.

Firstly, the educational environment at UHasselt, based on guided self-study and the use of small group working sessions, allows each student to have an individual pace of learning and gives them frequent feedback.

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Monitoring online teaching & learning

The world of education is changing more than ever. Since the emergence of the internet, platforms for e-learning are becoming omnipresent. The use of video lectures and other online learning materials are rapidly replacing traditional lectures and textbooks. As learning is occurring more and more online, teachers are facing new challenges. The increasing distance between student and instructor asks for new tools to track and adjust learning activities.

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