UNIVLEEDS Key Personnel

UNIVLEEDS Project Scope        UNIVLEEDS Organisation

Professor Anthony Cohn is internationally known for his work in Knowledge Representation and Reasoning, and spatial reasoning in particular, having published widely in this area. He is a Fellow of the BCS, the IET, AAAI and ECCAI, and is Co-Editor-in-Chief of Artificial Intelligence and Spatial Cognition and Computation. He is Director of the Institute of AI and Biological Systems at Leeds. Of particular relevance to NeTTUN is his work on “Mapping the Underworld” — a research programme directed at improving streetworks. Work initially focussed on integrating the disparate and heterogeneous records from utilities and other organisations with underground buried assets, to create a semantically and schematically coherent knowledge base – this approach is currently in second phase trials in Scotland.

The focus now is on fusing the data from a multisensor device, together with the integrated statutory records to create greatly improved maps of buried assets. Prof. Cohn collaborates with more than 20 industrial partners in this work. He is also investigator in two projects (EU/DARPA) involving the high level interpretation of video, machine learning and the development of ontologies. Other relevant work includes an AHRC/EPSRC project developing a decision support system for detection of buried archaeological residues using remote sensing – again the interpretation and fusion of spatial data is highly relevant to NeTTUN.  Anthony Cohn  is the Work Package Leader for WP5.

Dr Derek Magee is a Lecturer in computer science within the School of Computing. His main research interests involve the analysis of medical image data including, MRI, CT, PET and Ultrasound. The focus of this research is the use of machine learning methods to analyse and recognize complex patterns in data. Dr Magee’s role in the project relates to the analysis of multi-spectral data from ultrasonic and electromagnetic sensors and the analysis and processing of image data from tunnel inspection. He brings to the project many years of both academic and industrial experience in pattern analysis and multi-modal data fusion for both image and non-image data (e.g. ultrasonic engine data and wind tunnel sensor data analysis in the automotive industry).

Dr. Vania Dimitrova is a lecturer at the School of Computing, University of Leeds, UK where she leads the user modelling activity within the knowledge representation and reasoning group. Her research focuses on developing intelligent systems that adapt to individuals, groups, and communities. Her research interests include user modelling and adaptive systems, context modelling, ontology-enhanced interaction, and ontological modelling. She currently coordinates the EU F7 ImREAL (Immersive Reflective Experience-based Learning) project, and leads the knowledge engineering and adaptation tasks in the EU F7 DICODE (Data Intensive Collaboration and Decision Making) project and the UK TSB STRAPP (Trusted Digital Spaces through Timely Reliable and Personalised Provenance) project.