معرفی
Dirk Deschrijver is an Associate Professor in the Department of Information Technology at Ghent University, affiliated with the Internet Technology and Data Science Lab (IDLab). He has held positions as a senior researcher at iMinds/imec (2014-2016) and an FWO post-doctoral research fellow at Ghent University (2008-2014). His academic background includes two PhD degrees: in Computer Science from the University of Antwerp (2007) and in Engineering from Ghent University (2012).
His educational background includes:
- PhD in Computer Science, University of Antwerp, Belgium (2007)
- PhD in Engineering, Ghent University, Belgium (2012)
Deschrijver's research focuses on data analytics, machine learning, time series analysis, and surrogate modeling. He develops advanced algorithms for applications in microwave engineering, biomedical signal processing, and industrial monitoring. His work bridges theoretical machine learning with practical engineering problems, particularly in the areas of Bayesian optimization, Gaussian processes, and interpretable AI models.
Analysis of his recent publications (2023-2025) reveals a strong trend towards interdisciplinary applications. He applies machine learning to diverse fields including microwave filter design, respiratory and cardiac monitoring, and industrial predictive maintenance. A notable focus is on physics-informed modeling and uncertainty quantification, especially using kernel-based methods and Bayesian approaches. His work consistently emphasizes model interpretability and reliability, which is critical for healthcare and safety-critical systems.
His scientific awards include:
- Marie Curie Fellowship (2005) at Eindhoven University of Technology
- FWO post-doctoral research fellowship (2008-2014) at Ghent University
As a senior researcher and associate professor, Deschrijver has been involved in multiple research projects funded by competitive grants, including the Marie Curie and FWO fellowships. His current work at IDLab is supported by imec and likely involves collaborative grants with industry and EU programs. He has co-authored numerous high-impact publications and has contributed to open-source tools such as the Complex Vector Fitting toolbox.
He is a core member of the Internet Technology and Data Science Lab (IDLab), a leading research group at Ghent University and imec focusing on data science, machine learning, and internet technology. The lab collaborates extensively with industry and academia on projects spanning telecommunications, health, and smart systems.
