Projects
Machine Learning for Predictive and Prescriptive Process Monitoring KU Leuven
Predictive process monitoring (PredPM) is a relatively young and vibrant research field that deals with making predictions about business processes. However, until now, few PredPM methods or applications have found their way into practice. The work presented in this dissertation builds upon and contributes to the current body of literature. At the same time, it aims to pave the road toward practical implementation. For this reason, we focused ...
Predictive and Prescriptive Process Modeling using Machine Learning and AI KU Leuven
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 ...
Developing process analytics-based real-time personalized feedback for smart learning environments KU Leuven
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.
Goal-Oriented Process Control using Constraint-Guided Model-Based Reinforcement Learning. University of Antwerp
Solving tough Semiconductor Manufacturing problems towards Advanced Process Control using Machine Learning KU Leuven
As EUV based lithography gets adopted to keep scaling semiconductor devices in our chips, new metrology and inspection challenges arise. We need to measure these small dimensions fast but without losing accuracy and repeatability. Metrology and inspection are at the heart of process control. Without adequate metrology and inspection capability yields suffer. Conventional process and metrology tools, used in the industry, while generating a ...
Goal-Oriented Process Control by Including Expert Knowledge in Model-Based Reinforcement Learning using Soft Constraints. University of Antwerp
Theoretical and empirical underpinning of the concept of guidance in the process of Computer-Supported Inquiry-based Learning in secondary STEM-education Ghent University
This project focuses on the theoretical and empirical underpinning of the concept of guidance in the process of Computer-Supported Inquiry-based Learning (CoSIL) in secondary STEM-education. Specifically, the focus is on the frequency, duration and modality in which multiple types of guidance can work synergistically within a CoSIL-environment in order to support domain-specific knowledge, scientific inquiry skills and motivation for STEM.
Optimization and machine learning for decision-making process KU Leuven
In recent years we have witnessed several disruptions to supply chains, energy, and financial systems, as well as a greater need for better humanitarian logistics, caused by a series of factors: poor regulation, climate change, the pandemic, instability in some regions of the globe, and more. The ubiquity of data makes it imperative to develop new methodologies that incorporate them into the decision-making process, in an end-to-end learning ...