My work at the University of Liège involves full-time scientific research tasks. Over the last decade, I have carried out interdisciplinary scientific research including hardware measurement systems, advanced measurement techniques, biomedical signal processing, digital signal processing, algorithms, normal and pathological gait analysis, and Terahertz imaging technology and its applications in the medical field. This research is, and has been, mostly dedicated to the development and implementation of innovative methods to handle difficult problems in a pragmatic way, generally with the goal of providing validated tools and meaningful measures that can be used in clinical care and R&D research with their profound knowledge in the domain (including the medical field). My research interests lie at the intersection of biomedical engineering and medical artificial intelligence, with a particular interest for the experimental approaches, the medical signal/image processing, and the use of machine and deep learning approaches, with the ultimate goal of significantly contributing to the personalized and digital health. The results of this research were published in international journals, conferences, and invited seminars, and were rewarded with the "BIOSIGNALS 2016 Best Paper Award".