|Function:||Assistent Professor (PNUT)|
Ronald Poppe received a Ph.D. degree in Computer Science from the University of Twente, the Netherlands in 2009 on the topic "Discriminative Vision-Based Recovery and Recognition of Human Motion". In 2009, 2010 and 2012, he was a visiting researcher at the Delft University of Technology (DMIR - Delft Multimedia Information Retrieval lab), Stanford University (AIR - Artificial Intelligence Research lab) and University of Lancaster (IEU - Psychology Department), respectively. He is currently a postdoctoral researcher in the HMI - Human Media Interaction group of the University of Twente. His research interests include the analysis of human motion from videos and other sensors, the understanding and modeling of human (communicative) behavior and the generation of communicative behavior for virtual characters in human-computer interaction.
He has written two surveys on vision-based human motion analysis and action recognition. In 2012, he received the most cited paper award from the "Image and Vision Computing" journal, published by Elsevier. He has (co)organized several workshops and special sessions on behavior understanding and motion analysis at IEEE Face and Gesture Recognition (2008 and 2011), IEEE Computer Vision and Pattern Recognition (2010), Intelligent Environments (2011), Intelligent Virtual Agents (2012) and Measuring Behavior (2012). He also serves in many conference Program Committees, including CVPR, ECCV, FG, IVA, ICMI, AAMAS, AMI, ICDSC and relevant workshops, and regularly reviews for all top journals in the areas of computer vision and pattern recognition, including the International Journal of Computer Vision (IJCV), Transactions on Pattern Analysis and Machine Intelligence (PAMI), Pattern Recognition (PR), Computer Vision and Image Understanding (CVIU), Image and Vision Computing (IMAVIS) and Journal of Multimodal User Interfaces (JMUI).
Ronald Poppe is involved in teaching for the master's Human Media Interaction. Amongst other things, he (co)supervised 20 master's theses and 25 individual and group projects on human-computer interaction, computer vision and human motion analysis. He was also involved in teaching for the course Machine Learning, and Art, Media and Technology. He has actively contributed to several European and national projects, including EU 7th Framework IP's AMI and AMIDA on multimodal interaction in meetings, EU NoE SSPNet on social signal processing, EU STREP Semaine on affective, multimodal conversations, Dutch BSIK ICIS on multimodal crisis management, Dutch FEZ COMMIT P2 on interaction for universal access and Euregio Interreg PatRia2 on user observation and risk prevention.