Onderzoeker

Hichem Sahli

Onderzoeksexpertise (Vrije Universiteit Brussel):
- Hichem Sahli is coordinates the Audio-Visual Signal Processing Laboratory (AVSP) within ETRO. AVSP focuses on building the computational foundations to enable computers with the abilities to analyze, recognize and predict human communicative behaviors during social interactions. Central to this research effort is the technical challenge of multimodal machine learning: mathematical foundation to study heterogeneous multimodal data. This multi-disciplinary research topic overlaps the fields of multimodal interaction, social psychology, computer vision, machine learning and artificial intelligence, and has many applications in areas as diverse as personalized machine learning models in medicine and robotics

Disciplines (Interuniversity Microelectronics Centre):Display technologie, Antennes en propagatie, Automatisatie en controlesystemen, Analoge, RF- en mixed-signal geïntegreerde circuits, Neuromorphic computing, Audio- en spraakverwerking, Milieuveiligheid en gezondheid van nanotechnologie, Batterijtechnologie, Biomaterialen, Keramische matrixcomposieten, Hybride composieten, Computationele materiaalwetenschappen, Metalen en legeringsmaterialen, Polymeerverwerking, Nanomaterialen, Functionele materialen, Biomedische beeldverwerking, Biochemische engineering, Mechanica van biovloeistof, Cel-, weefsel- en orgaan engineering, Rekenkundige en logische structuren, Automatisering, feedbackcontrole en robotica, Bio-informatica, Analoge en digitale signaalverwerking, Instrumentatie in de ingenieurswetenschappen, Milieugezondheidszorg en veiligheid, Biostatistiek, Gehandicaptenzorg, Bioethiek
Disciplines (Vrije Universiteit Brussel):Machine learning en besluitvorming, Patroonherkenning en neurale netwerken, Computer vision, Biomedische beeldverwerking, Interactieve en intelligente systemen, Audio- en spraakverwerking, Datavisualisatie en high-throughput beeldanalyse

Gebruikers van onderzoeksexpertise (Vrije Universiteit Brussel):
- Hichem Sahli is coordinates the Audio-Visual Signal Processing Laboratory (AVSP) within ETRO. AVSP focuses on building the computational foundations to enable computers with the abilities to analyze, recognize and predict human communicative behaviors during social interactions. Central to this research effort is the technical challenge of multimodal machine learning: mathematical foundation to study heterogeneous multimodal data. This multi-disciplinary research topic overlaps the fields of multimodal interaction, social psychology, computer vision, machine learning and artificial intelligence, and has many applications in areas as diverse as personalized machine learning models in medicine and robotics