Auditory biomechanics: We model the biomechanical behavior of the middle ear using the finite-element (FE) method. The models are validated by comparing simulation results to measurements made using state-of-the-art laser Doppler vibrometry. The aim is to use well validated FE models to optimize the design of assistive, protective and diagnostic devices such as hearing aids from a biomechanical perspective.
Virtual reality for surgical training: Real-time interactive software-based models of anatomical structures are being developed to train surgical residents in various aspects of ear-nose-throat surgery. Virtual-reality interfaces such as haptic arms and stereovision workstations allow trainees to perform surgery on software-based models that look, feel and behave approximately like real tissue. Current research is focused on improving the appearance and behaviour of the models, modeling variability seen in patients, adding performance metrics to assess trainees and quantifying skill transference from the simulated environment to the operating room.
Medical image processing and analysis: We are using micro-imaging techniques such as micro-computed tomography to measure the geometry of the middle ear and cochlea. Our group designs computer algorithms for automated generation of models from these images for use in FE modeling or in cochlear implant location verification. More recently, we have begun developing software tools for image-guided planning of surgery for implanting bone conduction devices.
My Research Group
Dr. Sumit Agrawal, Co-Director of ABL; Andrew Pritchard, BMSc candidate; S. Alireza Rohani, PhD candidate; Caiwen Huang, PhD candidate; Prof. Hanif Ladak, Co-Director of ABL.
Opportunities In My Group
I am looking for a PhD student who has a background in machine learning, especially deep learning, and also expertise in digital signal processing. The position could start in either January 2018 or May 2018 and is fully funded for 4 years. The student would be required to enroll through either the Biomedical Engineering Graduate Program, the Department of Medical Biophysics or the Department of Electrical & Computer Engineering, depending on the student's preference. The project focuses on the development of a software system for automated assessment of hearing abilities and could impact clinical practice.
A position is available for someone with expertise in digital image processing/analysis and machine learning. Click here for more information.