-
aims at addressing computational challenges associated with data acquisition and information extraction from complex sensors and sensor networks. Crucially, uncertainty management and quantification
-
project aims to address the current limitations of traditional frame-based sensors and associated processing pipelines with a new family of algorithmic architectures that mimic more closely the behaviours
-
novel photonic techniques such as time resolved single photon technologies, spectral imaging, and optical fibre sensors to tackle clinical/biomedical challenges and other real world applications. Our work
-
investors Demonstrate initiative in making routine decisions in order to manage and achieve project deliverables and deadlines Participate in, and develop, networks and collaborations both internally and
-
experimental demonstration of quantum digital signatures over installed optical fibre in the Tokyo network) (2015 and 2017), and several novel coherent state amplification experiments. We have pioneered single
-
industrial and healthcare technology to fundamental scientific research, both in our own laboratories and in collaboration with a large international network of partners in academia and industry. LUPO is