Hi, I'm Sam.
I am a postdoctoral researcher at the Internet Technology and Data Science Lab (IDLab) research group of the Department of Information Technology (INTEC), Ghent University - imec, Belgium. I have a strong interest and expertise in Quality-of-Experience (QoE) modeling and assessment, Human-Computer Interaction (HCI), Haptic Feedback and Multi-User Interaction with a main focus on immersive multimedia technologies such as Virtual and Augmented Reality (VR/AR). Always open to collaboration and discussion, so don't hesitate to reach out!
Exploring the boundaries of the Shared Mental Model in latency-impaired collaborative Virtual Reality
Human-centric Assessment and Modelling of Group Cohesiveness and Team Performance in Collaborative Virtual Reality
M3-Apps: Enabling User-centric Modelling of Immersiveness in Multimodal Multimedia Applications.
Advanced QoE modeling for immersive media applications,
under supervision of prof. dr. ir. Maria Torres Vega.
Advanced QoE modeling for immersive media applications,
under supervision of prof. dr. ir. Filip De Turck.
Integrating Machine Learning on sales & marketing data into the Blendr.io platform,
under supervision of prof. dr. ir. Tijl De Bie and ir. Niko Nelissen.
Magna Cum Laude
Immersive technologies are changing the way we live and work as the boundaries between the physical and virtual worlds become more blurred. However, immersive telepresence applications lag behind in Europe. SPIRIT project’s mission is to advance extended collaborative telepresence technologies, ultimately increasing Europe’s competitiveness and innovation capacity.
View ProjectPractical training using real equipment is often expensive, potentially dangerous, and non-scalable. Virtual reality (VR) could make it safer, scalable, and cost-effective. Today, however, VR is still largely restricted to a single-user experience. As a breakthrough solution, INTERACT will enable multi-user VR applications. It will feature wireless low-latency frame-to-frame streaming, fast multisensory synchronization, location prediction, and user-driven perception analysis of the solution.
View Project