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Ahmed Ashraf

Photo of AhmedPost-doctoral Fellow

Toronto Rehabilitation Institute (UHN)

(416) 946-8573

ahmed.bilal@alumni.cmu.edu

 

 


Biography

Ahmed’s core research interests lie at the interface of machine learning, computer vision, and image processing.  Prior to joining TRI, he was a post-doctoral researcher in the department of Radiology at the University of Pennsylvania, where his research focused on computational medical imaging for assessing breast cancer recurrence risk. He received training as a translational research scientist at Penn. Ahmed holds a Ph.D  in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh. He did his undergraduate degree in Electrical Engineering from University of Engineering and Technology, Lahore, Pakistan.

At TRI, Ahmed is using computer vision methods for assessing the dementia level of older adults as well as assessing Levodopa induced dyskinesia in Parkinson’s disease patients.


Projects


Select Publications

  1. Ahmed Bilal Ashraf, Babak Taati, “Handwashing behavior as a potential marker of cognitive health in older adults.”, IEEE Journal of Biomedical Health Informatics (JBHI), (Accepted with Minor Revisions).
  2. Ahmed Bilal Ashraf, S. Gavenonis, D. Daye, C. Mies, M. Feldman, M.A. Rosen, and D. Kontos, “Identification of intrinsic radio-phenotypes for breast cancer tumors: Preliminary associations with prognostic gene expression profiles.”, Radiology, 2014,(Impact Factor: 6.34)
  3. Ahmed Bilal Ashraf, S. Gavenonis, D. Daye, C. Mies, M. Feldman, M.A. Rosen, and D. Kontos, “A Multichannel Markov Random Field Framework for Tumor Segmentation with an Application to Classification of Gene Expression-based Breast Cancer Recurrence Risk.”, IEEE Transactions on Medical Imaging (TMI), April 2013, (Impact factor: 4.5)
  4. Simon Lucey, Ahmed Bilal Ashraf, “Nearest neighbor classifier generalization through spatially constrained filters”, Pattern Recognition, January 2013, 46(1):325-331Simon Lucey, Ahmed Bilal Ashraf, “Nearest neighbor classifier generalization through spatially constrained filters”, Pattern Recognition, January 2013, 46(1):325-331
  5. Simon Lucey, Rajitha Navarathna, Ahmed Bilal Ashraf, and Sridha Sridharan , “Fourier Lucas Kanade Algorithm”, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2012 (Impact factor: 4.8)
  6. Ahmed Bilal Ashraf, Simon Lucey, Tsuhan Chen , “Reinterpreting the application of Gabor filters as a manipulation of the margin in the Support Vector Machines”, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2010, 32(7):1335-41 (Impact factor: 4.8).
  7. Ahmed Bilal Ashraf, S. Lucey, J. F. Cohn, T. Chen, K. M. Prkachin, and P. E. Solomonl, “The Painful Face II– Pain Expression recognition Using Active Appearance Models”, International Journal of Image and Vision Computing, Nov, 2009, 27(12):1788-1796.
  8. Ahmed Bilal Ashraf, Babak Taati, “Assessing dementia onset by observing hand washing behavior”, IEEE Conference on Biomedical Health Informatics (BHI), 2014.
  9. Ahmed Bilal Ashraf, Simon Lucey, Tsuhan Chen, “Fast Image Alignment in the Fourier domain”, IEEE International Conference on Computer Vision and Pattern recognition (CVPR) 2010, pp 2480 -2487.
  10. Ahmed Bilal Ashraf, Simon Lucey, Tsuhan Chen, “Learning patch correspondences for Improved Viewpoint invariant Face recognition”, IEEE International Conference on Computer Vision and Pattern recognition (CVPR), 2008, pp 1-8 (ORAL)