I am Greg Van Houdt, and I graduated from the Business & Information Systems Engineering program at Hasselt University in 2019. I have always been interested in Business Information Systems and how they can improve the quality of business processes & decision making, but also the quality of life of the employees using such systems. This interest became more and more apparent when I was involved at one of the largest car dealerships, Van Mossel Automotive Group, during my summer jobs for five consecutive years. There I worked on IT systems, increasing the collaboration and coordination amongst sales and administrative employees, even across different dealership sites. To me, starting a Ph.D. in this field just made sense.
The Business Informatics Research Group at Hasselt University welcomed me with open arms. At this moment I am already in my third year of the Ph.D. program. This website gives you more information about my research, publications & presentations at conferences, my teaching work and how you can reach out to me.
My Ph.D. research is focused on two key topics: unsupervised event log abstraction on the one hand and data-driven diagnostic analytics on the other hand. By combining both, we can help business analysts to perform a more effective root cause analysis on both low-level and high-level event data.
Unsupervised Event Log Abstraction
Unsupervised Event Log Abstraction
Data-Driven Diagnostic Analytics
Data-Driven Diagnostic Analytics
Publications &
Attended Conferences
Publications &
Attended Conferences
As a Ph.D. student at Hasselt University, I am also assigned several teaching duties. As a member of the Business Informatics Research Group, these teaching duties also mainly involve the Business & Information Systems Engineering program, part of the Faculty of Business Economics. A short overview of my main teaching duties is provided below.
Business Process Management & Modelling
Business Process Management & Modelling
In this course, students get to know the BPMN and DMN modelling languages to model both business processes and decisions. It is taught in the Master of Management, Business Engineering and Business & Information Systems Engineering programs.
Literature Study BI
Literature Study BI
In this course, our students get experience in conducting a scientific and structured literature review. The full methodology as well as writing a literature study is part of the assignment. This course is taught in the Business & Information Systems Engineering program.
Business Intelligence
Business Intelligence
In this course, students are made familiar with a series of technologies to design business dashboards. The main focus is laid on Shiny in R. The course is taught in the Business & Information Systems Engineering program.
Business Information Systems
Business Information Systems
In this course, our students get to know the finer details about business information systems and why they are not only useful, but also very important. The practice sessions focus on using Microsoft Excel. It is taught in the Business Administration program.
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