Teaching

The Faculty of Engineering and Architecture wants to offer its students the opportunity to participate in a one-year extracurricular excellence program 'Innovation for Society', which is both broadening and deepening, offers a strong intellectual challenge, and promotes interdisciplinary collaboration within and outside the faculty. The program has both a technical-scientific and a social perspective and is aimed at good, motivated and versatile students who, in addition to their regular bachelor's or master's degree, would like to take on an additional challenge that is broadly related to their field of study.

We work on annually changing themes, linked to one or more of the United Nations Sustainable Development Goals [SDGs]. In concrete terms, a number of important social problems are identified within the annual theme, for which the participating students will devise and/or implement innovative and creative solutions, using, among other things, the knowledge and skills acquired during their studies.

We view the annual theme from a local (Ghent, Flemish or Belgian) context and from the role that the engineer (m/f/x) can play in achieving the linked SDGs.

Part of the Master of Science in Biomedical Engineering at Ghent University.
The purpose of this course is to give students a detailed overview of how data from medical devices, wearables and databases can be acquired, processed and visualized, in order to provide insights for medical doctors, nurses and paramedics. Focus will be on distributed applications that combine software technologies, network technologies, semantic technologies and/or machine learning for usage in hospitals, nursing homes, but also in residential context for healthy living applications. The students learn the technologies during the lectures and gain hands-on experience during the specific lab sessions using real-life healthcare data sets.

This course is a collaboration between UGain (Ghent University academy for engineers) and VAIA (Flanders AI Academy).
Artificial Intelligence nowadays are complex and sophisticated algorithms that sometimes make it difficult for the humans to understand and interpret the decisions or suggestions of the AI system.  This course gives an overview of available techniques to make AI more trustworthy, explainable, robust, ethical and privacy-aware.
Within this course I teach the "Introduction", "Hybrid AI" and "Use case" classes, together with Prof. Sofie Van Hoecke. 

This course is a collaboration between UGain (Ghent University academy for engineers) and VAIA (Flanders AI Academy).
Today, we cannot think of a world without data. Data that is generated by different sensors and devices, but also data coming from individuals. Linking data enables us to come to more meaningful and useful data, providing we apply techniques to process this. Linked data is built upon standard Web technologies such as HTPP and RDF. By using these technologies, the data becomes computer interpretable. This course guides the students through the world of Linked Data and Social Linked Data (SOLID). While the necessary principles and theories will be explained, the course also focusses heavily on hands-on exercises to learn how to immediately apply these techniques.
Within this course I teach  the class on "Ontology engineering & reasoning", together with Dr. Pieter Bonte. 

Throughout my career, I have always been passionate about guiding students on the route of academic research. An ideal way to achieve this is through the supervision of master thesis projects. I have supervised over 50 Master thesis students on a wide range of topics, e.g. ehealth, personalized & context-aware systems/algorithms, machine learning, AI, hybrid AI, rule-based systems, predictive maintenance, explainable AI, ontology engineering, collaborative design and human-computer interfacing. Are you a master student that is passionate about one of my research topics? Feel free to reach out to me to define a thesis topic together. 

Part of the Master of Science in Computer Science Engineering at Ghent University.
I yearly supervise one or two groups of 4 students within this course. The students review a specified scientific research topic by performing a scientific literature search. They present their findings in writing in a structured manner. Students acquire competences that are a.o. essential to successfully carry out a master thesis. 

Part of the Bachelor of Science in Engineering at Ghent University.
I supervise groups of 4 students within this course. The project has the intention to put the students to work in small groups in order to solve a (computer science) problem that is new for them and that requires skills from different earlier courses. Special attention is also devoted to communication skills (oral and written report) and to teamwork.