Projects

With advancements in thin-film electronics, interactivity can seamlessly blend in the environment instead of moving interactive experiences to digital devices. Making such interactive physical interfaces is however challenging and requires expertise and techniques from different fields; to fabricate and shape the physical artifact, to add electronics, and to include software that drives computational aspects. In contrast years of research ...

Successful software development requires a multi-modelling approach to address all stakeholders' concerns. The stakeholders' different backgrounds require multiple representations tailored to the stake-holders' needs. The general goal of this project will therefore investigate a multi-modelling and multi-representation approach to software development: how multiple linked models (domain, processes, application, tasks, user interfaces) can be ...

This PhD investigates and contributes sensor technology to assist users in building physical artefacts. While state-of-the-art research focuses on augmenting materials and workflows, this research investigates embedded technology to assist in maker processes. In contrast to augmentation, embedding sensing does not rely on shapes for recognition and can even track changes in material over fabrication steps. Novel opportunities include, components ...

The goal of the project is the realization of various valorisation projects based on the know-how of EDM. More specifically, an expanded range of services for third parties is developped (companies or other organizations), based on the methodological and scientific-technological expertise of the Human-Computer Interaction (HCI) group of EDM. The expertise in the field of "User-Centred Software Engineering" (UCSE) approaches - usually shortened ...

This project envisions to introduce a new take on process analytics by introducing a deep learning-based approach to forecast process models which simultaneously supports the discovery of process models from data, i.e., to understand how the process behaved in the past, and the prediction of process models, i.e., to understand how the process will behave in the future.Currently, both activities are treated separately, although they are learned ...

The new SRF funding program ' structural funding of the institutes' is a program that is used to support the spearhead policy of Hasselt University. In accordance with the Research Policy Plan (2011-2015) (SD 1 - OD1) ever since 2012 the Research Council annually grants the institutes structural SRF funds for the development of basic research within these institutions. These funds are applied on define research lines as defined in the strategic ...

The new SRF funding program ' structural funding of the institutes' is a program that is used to support the spearhead policy of Hasselt University. In accordance with the Research Policy Plan (2011-2015) (SD 1 - OD1) ever since 2012 the Research Council annually grants the institutes structural SRF funds for the organization and functioning of these institutions. This funding was assigned to the research institute EDM.

Population ageing will more than ever influence our lifestyle and the way we interact with elderly. People prefer living at home, in their trusted environment as long as their health allows them to and the need for care can be filled in by the home care organizations. The increasing ageing will put a large pressure on the labor market as good and sufficient care givers will become hard to find. For these reasons we will be forced to develop new ...

Nowadays, there is a trend of patients wanting to be involved in their own care and rehabilitation process. However, the interactive software systems used by patients and medical staff are most of the time not designed with this in mind and if they are, they are only applicable to a specific medical system. Given the importance of health informatics in an aging society with higher needs for longer (chronic) disease care, there is a growing need ...

A powerful encompassing biostatistical modeling framework will be developed for the design and analysis of life sciences data, leading to accelerated speed of assessment, reduced sample sizes, and more reliable conclusions for clinical and pre-clinical biopharmaceutical studies, epidemiological investigation, public health and survey research, environmental and toxicity experiments, risk assessment, biomarker, surrogate marker and surrogate ...