Chen Wang

Phd Candidate of Affective Computing

Computer Vision and Mulitmedia Laborotary, University of Geneva

Biography

Chen Wang is a Ph.D candidate of affective computing at the Computer Vision and Multimedia Lab. Her research focuses on how to recognise human impressions automatically from non-verbal cues, such as facial expressions, gestures and physiological signals. She is particularly interested in the use of multimodal and physiological measures for improving human-human and human-computer interactions.

Interests

Artificial Intelligence
Multimodal Interaction
Physiological Signal Processing
Human-computer interaction

Education

PhD in Affective Computing, 2020

University of Geneva
MSc in Multimedia Signal Processing, 2016

Royal Institute of Technology
MSC in Digital Medial Technology, 2015

Delf University of Technology
BSc in Information Technology, 2013

Central China Normal University

Teaching Assistant Experience

Systme l'informatique

University of Geneva

Jan 1016 – Dec 31126 Geneva

Linux and C programming

Interaction multimodale et affective

University of Geneva

Sep 1096 – Jan 1016 Geneva

Imagerie Numerique

University of Geneva

Jan 1016 – Aug 1086 Geneva

Le cours a pour but de permettre la compréhension et la pratique de diverses techniques de création et de manipulation d'images numériques. En plus des bases théoriques, l'accent est porté sur la pratique des techniques étudiées.

Détail du contenu:

bases: vision humaine, images numériques, modélisation de la lumière, équipement, fichiers graphiques;
synthèse d'images: méthodes permettant la création d'images numériques réalistes;
outils de l'analyse d'images: techniques de base, telles convolution et corrélation, transformée de Fourier discrète, histogrammes;
compression d'images: méthodes courantes telles le codage de plage, le codage entropique, les compressions JPEG et MPEG;
manipulation et segmentation d'images: méthodes de traitement d'images utilisées dans de nombreux logiciels, et qui permettent de modifier le contenu d'une image pour la rendre plus adaptée à l'utilisation qui doit en être faite;
extraction de caractéristiques et reconnaissance d'objets: méthodes d'analyse d'image qui permettent de caractériser et d'identifier les objets contenus dans une scène. Chaque partie du cours est accompagnée de travaux pratiques à réaliser individuellement et permettant la mise en application de méthode

Activities

Deep Learning

CUSO The Doctoral Program in Computer Science Jan 2019 – Jan 2019

As the scientific community is heavily investing efforts in deep learning, the field is progressing at an unprecedented pace and it is therefore imperative to have events (such as this Winter School), where the latest and most important results are presented in a structured format by leading researchers in the field.

Computational Social and Behavioral Sciences

SMART Summer School Sep 2018 – Sep 2018

Understanding human behavior by using both computer vision and signal processing has become of major interest since the emergence of numerous applications in various domains, such as social signal processing, affective computing or human-computer interaction.

The Swiss Doctoral School (SDS) in Affective Sciences

CISA Doctoral School Jul 2016 – Dec 2020

The Center comprises research groups at the University of Geneva and also associate members from other Universities. They come from a wide range of disciplines, enabling a unique multidisciplinary approach to the study of emotions. Neuroscientists, philosophers, psychologists, computer scientists, economists, and scholars from literature, the arts, and humanities work together with the common objective of understanding emotions and their roles in cognition and behavior.