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Researcher

Hichem Sahli

  • Research Expertise  (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 technology, Antennas and propagation, Automation and control systems, Analogue, RF and mixed signal integrated circuits, Neuromorphic computing, Audio and speech processing, Environmental safety and health of nanotechnology, Battery technology, Biomaterials, Ceramic matrix composites, Hybrid composites, Computational materials science, Metals and alloy materials, Polymer processing, Nanomaterials, Functional materials, Biomedical image processing, Biochemical engineering, Biofluid mechanics, Cell, tissue and organ engineering, Arithmetic and logic structures, Automation, feedback control and robotics, Bio-informatics, Analogue and digital signal processing, Engineering instrumentation, Environmental health and safety, Biostatistics, Care for disabled, Bioethics
  • Disciplines  (Vrije Universiteit Brussel):Machine learning and decision making, Pattern recognition and neural networks, Computer vision, Biomedical image processing, Interactive and intelligent systems, Audio and speech processing, Data visualisation and high-throughput image analysis
  • Users of research expertise  (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