As a new professor in the department of Electrical and Computer Engineering, I am interested in taking on dynamic, independent students (Bachelor's honours thesis, Master's and doctorals students) and postdoctoral fellows interested in performing research in the areas of Computer Vision and Medical Imaging. The work will take place at the Centre for Intelligent Machines, a world-class research centre specializing in research in Intelligent Systems. In addition, collaborations will take place with other research centres that specialize in Medical Imaging (e.g. the Montreal Neurological Institute, Sunnybrook Hospital).

(Above: 3D reconstruction of my head generated from a magnetic resonance image.)

There are many possible research topics for students to choose from. The general theme of the group is

"Probabilistic Inference in Computer Vision and Medical Imaging"

• Object recognition
• Object detection and localization (e.g. face detection)
• Computation of optical flow (and its uncertainties)
• Image registration
• Object classification (e.g. face classification)
• Active vision

The aim is to apply the theory to interesting and open problems in the domain of Medical Imaging, in particular in Neurology and Neurosurgery. These include:

• Statistical modelling of appearance variability over a population of medical images
• Automatic Bayesian identification and segmentation of anatomical structures (e.g. from ultrasound or MR images)
• Multi-modal probabilistic image registration (e.g. matching ultrasound to Magnetic Resonance images)
• Image-guided neurosurgery (e.g. updating pre-operative MRI based on intra-operative ultrasound or magnetic resonance images)
• Computer-generated feedback for technician/surgeon/physician as to where to best acquire new ultrasound/MRI to maximize information gain

For more details on our projects, please see our group website research page.

For more details on current openings, please see Positions Available.