Project Team

We are part of the Cultural Informatics Research Group at the University of Brighton. Our full address is:

University of Brighton
Cockroft 523, Moulsecoomb
Brighton
BN2 4GJ

To request any information please email Karina Rodriguez
K.Rodriguez [at] brighton.ac.uk

The researchers involved in these initiatives include:

Dr. Karina Rodriguez-Echavarria

Karina

Karina is a Senior Lecturer at the University of Brighton. She obtained her Computer Systems Engineering degree from the ITESM, Mexico in 1999; her PhD at the University of Wolverhampton in the area of knowledge-based engineering in 2005 and an MA in Histories and Cultures at the University of Brighton in 2008. Karina has worked in several European projects researching in the areas of digital collections and 3D technologies for cultural heritage organisations producing research outputs in interdisciplinary areas such as computer graphics, information and knowledge management as well as cultural heritage. Her research interests include the documentation and visualisation of heritage collections, information and knowledge management of 3D artefacts, semantic technologies, 3D printing, and the practical aspects of deployment in the heritage sector. She serves in various international committees in these areas, and is currently Information Director for the ACM Journal in Computing and Cultural Heritage.


Dr. Ran Song
Ran

Dr Ran Song is a Senior Lecturer with the School of Computing, Engineering and Mathematics at the University of Brighton. He obtained his BEng degree at Shandong University, China in 2005 and a PhD in Computer Vision at the University of York in 2009. Since then he has worked for RIVIC and TSB funded projects in the field of computer vision and graphics. His research interests include image/scan registration, Markov Random Field, vision-based geometric modelling, shape analysis and 3D surface reconstruction. He has published more than 20 peer-reviewed research papers, some of which appeared at top venues such as ACM TOG (SIGGRAPH), Pattern Recognition and CVPR. Recently he developed state-of-the-arts methods for mesh saliency detection and surface reconstruction from multiple range scans. He is a member of ACM SIGGRAPH and also involved in the RIVIC network.


Dean Few
Dean Few

Dean Few received his BSc (Hons) degree in Computer Science at the University of Brighton, whilst working for the Schools ICT Support team at Brighton and Hove City Council. He started working for the Cultural Informatics Research Group in 2011 where he was supporting research for the 3D-COFORM project. He is actively involved in research for the procedural generation of Regency architecture. Other areas of research include the 3D scanning and analysis of cultural heritage artefacts, 3D scene handling and public display of data. His other interests include intelligent software and multi core and GPU programming.

Project partners

The Regency Town House