Daniele Giunchi is an Assistant Professor in Scene Understanding and Smart Environments at the University of Birmingham. His research focuses on immersive technologies, exploring how VR/AR, Human-Computer Interaction (HCI), and Artificial Intelligence—particularly deep learning and large language models—can enable more intuitive and adaptive user interaction. He is especially interested in vocal and multimodal interfaces for collaborative environments and perceptual scene understanding.
Daniele earned his Ph.D. in Computer Science from University College London (UCL) as a Marie Curie Fellow, where he developed neural network-based methods for artifact detection and 3D model retrieval in virtual environments. He also holds a Master’s in Optics and Quantum Information from Sapienza University of Rome, where he worked on quantum algorithms for holography, and a MSc in Astronomy from the University of Bologna, focusing on numerical simulation of cosmic structures.
His academic research is grounded in over a decade of industrial experience, having developed simulation, tracking, and 3D visualization systems in biomedical and aerospace domains. Prior to joining Birmingham, he held research roles at UCL and the CYENS Centre of Excellence, contributing to EU-funded projects on collaborative VR, smart cities, and immersive content generation.