Matthias Aquilina
Papers
1
Total Citations
2
H-Index
1
About
Dr. Matthias Aquilina is a pioneering researcher at the cutting edge of computational imaging and high-speed optical sensing. His primary contributions lie in the development of novel event-driven imaging systems, with a particular focus on single-photon detection for three-dimensional reconstruction. Dr. Aquilina’s most notable work, "Single photon event-driven 3D imaging," introduces a paradigm shift by applying the ultra-low latency and asynchronous data acquisition of event-based sensors to the realm of single-photon counting. This approach overcomes the fundamental incompatibility between conventional intensity-change events and the sparse, photon-level signals required for high-speed 3D vision. By demonstrating that event-driven principles can be harnessed for depth mapping at microsecond timescales, his research promises to dramatically reduce data volume and latency in applications ranging from autonomous navigation to biomedical microscopy. Though a relatively early-career researcher, his foundational paper has already garnered attention, establishing him as a key innovator in the push toward faster, more efficient, and photon-efficient imaging technologies.
Research Focus
Key Achievements
Top Papers
- 1Single photon event-driven 3D imaging2 citations · 2025