Young researcher, my research interests includes self-adaptive and self-learning analog/RF circuits, through resource-efficient algorithms. Specifically, my experience is a combination of analog/RF design, test, and machine-learning based adaptation algorithms.
What DO I DO EXACTLY?
I am a postdoctoral researcher, specialized in analog and radio-frequency microelectronics systems. Currently, I am working in KU Leuven, where I develop resource-aware self-adaptation algorithms and machine learning algorithms for the test of analog and mixed-signal circuits.
In a nutshell, I try to let our circuits decide what to do in the context they operate in. They are trying to be good, but also to consume less power... Like us?
MAIN RESEARCH INTERESTS
I am interested in several research topics (and I hope they will interest you too !)
SEE Full publication list
I am trying to keep this list up to date as much as possible (well, I do not have a new paper everyday either, that is also true)
Main projects I am (or have been) involved in as a [my status in the project]
NoRMA is a project funded by Flemish Gouvernment (FWO)
Phoenix is a H2020 FET-Open European project financed by the European Union
Self-Adaptation of Communicating Systems in Operation (SACSO) [PhD Student]
SACSO was a project found by the French national research agency (ANR) aiming at developping self-adaptive analog and RF communication circuits