2005 EngD Students

Mojtaba Bahrami

Website

Sponsoring company. Ordnance Survey

In October 2009 Mojtaba Bahrami won a Student Paper Award (in an international competition)  from the U.S. Institution of Navigation (ION) to present his work at the ION GNSS 2009 conference, the 22nd International Technical Meeting of the Satellite Division of the U.S. Institute of Navigation, in September 22-25 in Savannah, Georgia. Student papers are reviewed by session chairs and only those papers of sufficient technical quality for acceptance as a primary paper in the session are awarded and receive full conference and travel grant.  Mojtaba presented his technical paper “Getting Back on the Sidewalk: Doppler-Aided Autonomous Positioning with Single-Frequency Mass Market Receivers in Urban Areas” at the conference, in the session on Urban and Indoor Navigation Technology. He is an EngD VEIV research engineer sponsored by the Ordnance Survey and is currently finalising his thesis. The objective of his research is to provide techniques that enable ordinary end-users to instantly improve the accuracy and precision of their raw GPS/GNSS positioning in urban environments. He is supervised by Prof. Marek Ziebart (Geomatic Engineering Lab. CEGE department) and Prof. Anthony Steed (Computer Science department) and Chris Phillips (Ordnance Survey).

Read more: Mojtaba Bahrami

Erica Calogero

Sponsored by. Buro Happold

Research abstract. The aim of the project is to use agent based modelling techniques to design and implement a high-resolution simulation of people movement in large urban areas for the purpose of risk reduction and mitigation in the event of system shocks. The research will analyse both existing population and statistical data along with high resolution spatial network data that interfaces with existing GIS technologies in order to enable a baseline model of people movement that can dynamically update and respond to changes in the transport network. The results from the research are aimed to help emergency managers carry out risk assessments before, during and after such shocks take place. Bayesian belief networks will be used to model the choices that individuals make in the face of risk.

Christopher Leung

Research area. Design Instruments

Sponsoring company. Haque Design + Research Ltd.

Research abstract. The investigation of tools, technology and software useful to the design process that can draw directly on information obtained in real-time from a prospective and/or actual site.

Katrin Jonas

Website

Research area. Architecture Forms

Sponsoring company. Buro Happold.

Research abstract. The investigation of tools, technology and software useful to the design process that can draw directly on information obtained in real-time from a prospective and/or actual site.

Karen Martin

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Sponsoring company. BT Research and Venturing

Research abstract. My research aims are to design and develop tools and strategies that use technology to encourage the development of a sense of place through increasing people's feeling of connection with their physical location, and to investigate how this can be extended into a sense of community.

I plan to achieve these aims by creating technology systems that:
• Harness individual experiences into collective ones
• Add value to a space by increasing understanding of its function, history and attributes
• Act as social catalysts between individuals as they co-create elements of their environment

The theoretical framework for this research is cybernetic ideas of the properties of systems, in particular, Gordon Pask’s Conversation Theory. The technological approach is the use of locative technologies, and the design basis for the study is the use of movement as a method of participant interaction.

Alastair Moore

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Research area. Computer Vision

Sponsoring company. Sharp Laboratories Europe.

Research abstract. This project is concerned with GIS, GPS and Vision data fusion. There is no way at present to indicate the relationship between roads, buildings and other features which a traveler sees with those described by GNSS position and GIS data. The research will consider: the trade off between monocular of stereo/multi camera systems, what kinds of features to identify from camera data, how to identify those features and how to align the features to GIS data in real time. The research may also include Image Parsing, unifying segmentation, detection and recognition, using GIS data as an image prior.