Research
While in
Edinburgh, I worked with S.
Blunsden (University of Edinburgh) on expanding MRF texture classifiers
to multiscale MRF texture classification. More on the following webpage.
I am interested in the following
areas:
Body
Sensor Networks
Working with colleagues at Imperial
on using Body Sensor
networks for the
observation of gait, activity and the detection of
irregularities during a person's everyday behaviour. We have developed
an online visual interface to view sensor data, and classify categories
of activities as well as looking at the periodicity of certain motions.
The applications of BSN networks are vast, and include the observation
of patient recovery (while patients are at home) and athletic skill (as
speed and gait can easily be observed). Keep an eye on the Pervasive Computing website
Pervasive Computing for a more detailed description of the group's work.
Surgical
Skill evaluation
I am
currently working on the assessment of surgical skills especially
during laparoscopic procedures. Differences in behaviour between
surgeons are being observed, aiming at providing a better feedback for
surgeons who are learning, and providing tools of objectively measuring
the performance of a surgeon during a certain surgical task.
Underwater
Acoustics and Sonar Imaging
My PHD with Dr
Penny Probert Smith at the Department
of
Engineering Science, University of Oxford, focused on combining
features from sidescan and bathymetry for the classification of
Underwater Seabeds. I did some work on the RASSE project
with the University
of St Andrews and the University of Ulster on Rapid Archaeological
Site Survey and Evaluation which was funded by the Aggregates Levy
Sustainability Fund (ALSF) and administered by English Heritage.
More on the
following webpage.
Image
Analysis