Projects
Model-based evaluation of 'digital game-based learning' in the 3rd grade of secondary education. Interaction between beliefs, player behavior, meta-cognitive strategies, and learning effects. Ghent University
This PhD project focuses on the exploration of learning effects (content and media literacy) of Digital Game-Based Learning (DGBL) in higher secondary education. Central is the development and testing of a path model that integrates the curriculum potential of games, player behavior and stakeholder beliefs, self-efficacy, media literacy and academic performance.
Newcomers’ literacy trajectories: mapping and monitoring literacy learning practices, processes and strategies in formal, non-formal and informal spheres. KU Leuven
This doctoral research forms the basis of a broader research project (C2 - Unlocking newcomers’ literacy development: learning for life in formal, non-formal and informal spheres) that focuses on migrant newcomers’ language and literacy development in their new host environment. It explores how they expand their literacy competencies in different situated socialization processes and ecologies, and tries to gain insight into how newcomers’ ...
Motor imagery and external cueing as strategies to optimise motor learning in patients with Parkinson's disease with and without freezing of gait. KU Leuven
Fear reduction strategies relevant for exposure therapy: Devaluation and extinction learning in anxiety disorder patients and their neurobiological basis KU Leuven
My ambition is to become an independent PI and clinical psychologist with a novel research line focusing on treatment optimization and personalization for anxiety disorders and post-traumatic stress disorder (PTSD). The MSCA-IF will provide the essential building blocks for this research line, and provides the opportunity to develop generic skills necessary to transfer from a postdoc position to an Assistant Professor position. Training ...
Novel Conformance Checking Methods and Validation Strategies for Deep Learning in Process Mining KU Leuven
This research project focusses on the development of representation learning-based techniques for business processes. More specifically, both the architectural design as well as application of representation learning techniques will be investigated, for instance in the context of process model querying, predictive process mining and conformance checking.
Machine learning operations strategies for condition monitoring at the edge KU Leuven
Monitoring complex industrial processes often requires data-driven models to determine the health status of the (sub)systems. This includes techniques for health, wear, condition, and process monitoring to warrant or increase the operational efficiency of a machine or process. While the development of such techniques requires machine- or process-specific knowledge and is time-intensive, it often results in qualitative and highly performant ...
PhD position – Efficient Deep Learning Strategies for Image-Based Insect Recognition KU Leuven
According to FAO estimates, pests cause up to 40% of the world's crop yield to be lost each year. Over $70 billion is lost annually to invasive insects in the global economy. On a global scale, invasive species have a significant role in ecosystem services deterioration, biodiversity loss, and ecological degradation. A sensor system that allows for the rapid identification of flying insects is currently lacking, and identification of insects ...