Group of Inneke Van Nieuwenhuyse

Prof. Van Nieuwenhuyse focuses her research on solving noisy multiobjective optimization problems with scarce data. These occur commonly, e.g. in engineering and in business . In most cases, the objectives need to be observed through (potentially time consuming) physical or computer experiments. Her team develops efficient and effective methods to solve such problems, by combining expertise from the computer science field (Gaussian Process Regression), and stochastic operations research (modelling and optimization of systems with heterogeneous noise). She is now working as a professor at DSI. 

My current work as a PhD student at Hasselt University focuses on effectively applying Tree-Based Parzen Estimator-Hyper Parameter Optimization frameworks. Previously, I have earned my master's degree from the University of L’Aquila & University of Hamburg, specializing in Optimization Models, Operations Scheduling, and Advanced Mathematical Analyses. My later coursework and final thesis includes a focus on Data Analytics, Data Science, and Data-Driven Decisions, preparing me for the dynamic challenges of the data and AI industry.