Current projects

Augmented Reality

Augmented Reality, robots and manufacturing: This PhD project in collaboration with the AMRC began in Feb 2019. Initial work is investigating the use of AR in relation to robots, safety and manufacturing.

Experiencing Arbor Low using AR: Arbor Low is one of only two Neolithic enclosures in the Peak District. It is a nationally-protected archaeological site and one of the most visited archaeological monuments in the Peak District. The enclosure contains a stone circle with 50 white limestone slabs, all now fallen. The aim of this TUoS-funded SURE project is to use AR so that the stones can be viewed standing and interacted with in situ.

Visualisation for interactive documents

Work package for Horizon 2020 project: In2Stempo - Network Rail Shift2Rail. Fletcher (PI, MechEng), Rigby (Civil), Mihaylova (ACSE), Maddock (Com). Aug 2019 - Mar 2021. (257K) part of EU Shift2Rail programme In2Stempo (research into Safety Management in Public Areas), Sep 2017 - Aug 2022

Computer facial modelling and animation

I have worked on different aspects of facial modelling and animation for the last 30 years (see Publications). I am currently supervising two PhD students in this area. Matt Leach is investigating lip stickiness in relation to a physically-based model of the mouth and Rabab Algadhy is investigating 3D mouth animation from 2D video.

Agent-based simulation

This work is a collaboration with my colleague Dr Paul Richmond, who leads the work on simulation in the research group. We jointly supervise two PhD students on simulation projects using agent-based modelling and GPUs for transport and pedestrain simulations. Our work on transport simulation and GPUs is also funded by Atkins (see Funding).

Sketch-based interfaces for large-scale pedestrian simulations

I have a long-standing interest in the use of sketching in computer graphics. Previous work has looked at sketch-based interfaces for creating models of the human face, as well as work in controlling crowd simulations. The current work is investigating real-time control of large-scale pedestrian simulations using a sketch-based interface (see PhD students).