Projects
Identification of nonlinear continuous-time systems from noisy input – noisy output observations Vrije Universiteit Brussel
An empirical investigation into the acquisition and processing of L2 formulaic sequences through audiovisual input KU Leuven
To achieve high levels of proficiency and fluency in a second language (L2), learners need to acquire a large number of formulaic sequences, or frequently recurring words, phrases and word combinations assumed to be familiar and conventional to native speakers (Siyanova-Chanturia and Pellicer-Sánchez, 2019). In second language acquisition (SLA) research, the term formulaic sequence is commonly used to cover a wide range of multiword ...
Development of on-line coupled state/input/parameter estimation techniques for flexible multibody systems. KU Leuven
The future of smart, connected mechanical systems will strongly rely on a digital representation of these systems and their functional performance. This holds for design analysis but also for motion and condition tracking through state/input/parameter estimation during the life-cycle of the system. Especially this last application typically requires multiple high-fidelity numerical simulation runs, which is too computationally expensive using ...
Moving horizon estimation: robust stability, robust performance and interaction with model predictive control. KU Leuven
The Impact of Credit Frictions on the Dynamics of International Trade. KU Leuven
Contemporaneous macroeonomic models invariantly rely on economywide shocks to explain aggregate fluctuations. The role of microeconomic shocks (e.g. to individual firms) has generally been overlooked. The relevance of small shocks for the macroeconomy was downplayed by Robert Lucas’ (1977) renowned essay on real business cycles. His argument is simple but powerful: if shocks that affect individual firms are idiosyncratic (i.e. random), these ...
Distributed Noise Reduction in the 'Internet of Things' KU Leuven
Technological progress in current analogue and digital devices together with the miniaturization of hardware have pushed sensing and actuating devices to new heights. Devices can perform more computationally intensive digital signal processing (DSP) tasks for a similar or even lower power budget and more devices can be placed on the same surface area, enriching DSP algorithms with more inputs/outputs and hence more degrees of freedom. When ...
Robust optimization of systems described by partial differential equations KU Leuven
Many complex systems and physical phenomena can be modeled by a partial differential equation (PDE). Methods to obtain a numerical solution for a given input are well established. An important engineering problem is to find the input such that the solution is optimal. This requires the definition and minimization of a cost which depends on the control input and the PDE solution. However, models of real-world systems often contain ...
Multi-level Characterisation of the Building Energy Performance of Residential Buildings based on Analysis of Measurement Data. KU Leuven
In support of the energy transition in the built environment, knowledge on
performance characteristics of the building fabric and technical systems is
essential for various applications, such as quality assurance, the development of
renovation strategies, or the appraisal of the potential for demand side flexibility.
In practice, the available information on the existing building stock is often
limited and of poor ...
Clustering Time Series KU Leuven
The notion of similarity is becoming more and more important in data analysis.
Comparing two objects quantitatively is a fundamental building block of most
machine learning algorithms, be it supervised or unsupervised. While for simple
mathematical objects, the notion of similarity might be intuitively clear (when
comparing how different two integers are, for example, we can just look at
the absolute difference ...