Short biography
I am Research Assistant Professor in the Department of Systems Design Engineering at University of Waterloo under the supervision of Prof. Alexander Wong. I received my Ph.D. under supervision of Prof. Alexander Wong anf Prof. Paul Fieguth. My Bachelor’s degree is in Computer Science and Engineering from Shiraz University in Iran in 2008 and I received my my master degree in Artificial Intelligent in 2011 from same university.
Currently, I am working on efficient deep learning methods for embedded systems with application on autonomous driving cars, traffic monitoring and healthcare.
My PhD thesis topic was about introducing a "Randomly-connected Non-Local Conditional Random Fields" to address long-range spatial connectivity while maintaining computational complexity.
My master thesis was focused on A Novel Conditional Random Field Framework For Object Tracking supervised by Prof. Zohreh Azimifar.
Supervisors
Research interests
My research interests include Computer Vision, Machine Learning and Biomedical Image Processing which my main focus is on Graphical Models specially Deep Learning, Conditional Random Fields and Markov Random Fields.
Research topics
Image Segmentation/Classification
Publications
Journal articles
Haider, S., A. Cameron, P. Siva, D. Lui, M. J. Shafiee, A. Boroomand, N. Haider, and A. Wong, "Fluorescence microscopy image noise reduction using a stochastically-connected random field model", Nature Scientific Reports, Submitted. Details
Shafiee, M. J., S. Haider, A. Wong, D. Lui, A. Cameron, A. Modhafar, P. Fieguth, and M. A. Haider, "Apparent Ultra-High b-value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields", TRANSACTIONS ON MEDICAL IMAGING, vol. 34, no. 5: IEEE, 2015. Details
Shafiee, M. J., Z. Azimifar, and P. Fieguth, "How Conditional Random Fields Learn Dynamics: An Example-Based Study
", Computer Communication & Collaboration, vol. 1, no. 1, 2013. Details
Wong, A., M. J. Shafiee, and Z. Azimifar, "Statistical Conditional Sampling for Variable-Resolution Video Compression",Public Library of Science ONE, 2012. Details
Conference papers
Wang, L., A. Wong, D. A. Clausi, A. K. Scott, L. Xu, M. J. Shafiee, and F. Li, "Sea ice concentration estimation from satellite SAR imagery using convolutional neural network and stochastic fully connected connected conditional random field",CVPR 2015 Earthvision Workshop, Submitted. Details
Li, E., M. J. Shafiee, F. Kazemzadeh, and A. Wong, "Sparse Reconstruction of Compressed Sensing Multi-spectral Data using Cross-Spectral Multi-layered Conditional Random Field Model", SPIE optics and photonics 2015, San Diego, SPIE , May, Accepted. Details
Li, F., E. Li, M. J. Shafiee, A. Wong, and J. S. Zelek, "Dense Depth Map Reconstruction from Sparse Measurements Using a Multilayer Conditional Random Field Model", Computer and Robot Vision, March, Accepted. Details
Xu, L., M. J. Shafiee, A. Wong, F. Li, L. Wang, and D. A. Clausi, "Oil Spill Candidate Detection from SAR Imagery Using a Thresholding-Guided Stochastic Fully-Connected Conditional Random Field Model", CVPR 2015 Earthvision Workshop, Accepted. Details
Shafiee, M. J., A. Chung, A. Wong, and P. Fieguth, "IMPROVED FINE STRUCTURE MODELING VIA GUIDED STOCHASTIC CLIQUE FORMATION IN FULLY CONNECTED CONDITIONAL RANDOM FIELDS", IEEE Conference on Image Processing, Accepted. Details
Li, F., M. J. Shafiee, A. Chung, B. Chwyl, F. Kazemzadeh, A. Wong, and J. S. Zelek, "HIGH DYNAMIC RANGE MAP ESTIMATION VIA FULLY CONNECTED RANDOM FIELDS WITH STOCHASTIC CLIQUES", International Conference on Image Processing, April, Accepted. Details
Deglint, J., F. Kazemzadeh, M. J. Shafiee, E. Li, I. Khodadad, S. S. Saini, A. Wong, and D. A. Clausi, "Virtual spectral multiplexing for applications in in-situ imaging microscopy of transient phenomena", SPIE Optics and Photonics, Applications of Digital Image Processing XXXVIII, August, 2015. Details
Boroomand, A., M. J. Shafiee, A. Wong, and K. Bizheva, "Lateral resolution enhancement via imbricated spectral domain optical coherence tomography in a maximum-a-posterior reconstruction framework", SPIE Photonics West (BiOS), San Francisco, USA, 2015. Details
Cameron, A., A. Modhafar, F. Khalvati, D. Lui, M. J. Shafiee, A. Wong, and M. Haider, "Multiparametric MRI Prostate Cancer Analysis via a Hybrid Morphological-Textural Model", Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014. Details
Shafiee, M. J., A. Wong, P. Siva, and P. Fieguth, "EFFICIENT BAYESIAN INFERENCE USING FULLY CONNECTED CONDITIONAL RANDOM FIELDS WITH STOCHASTIC CLIQUES", International Conference on Image Processing, IEEE , 2014. Details
Li, E., M. J. Shafiee, A. Chung, F. Khalvati, A. Wong, and M. A. Haider, "Enhanced Reconstruction of Compressive Sensing MRI via Cross-Domain Stochastically Fully-Connected Random Field Model", International Society for Magnetic Resonance in Medicine, February, 2014. Details
Kazemzadeh, F., M. J. Shafiee, A. Wong, and D. A. Clausi, "Reconstruction of Compressive Multispectral Sensing Data Using a Multi-layered Conditional Random Field Approach", SPIE: Optics + Photonics, vol. 9217, San diego, USA, SPIE Proceedings, 2014. Details
Shafiee, M. J., A. Wong, and Z. Azimifar, "A Novel Hierarchical Model-Based Frame Rate Up-Conversion via Spatio-temporal Conditional Random Fields", IEEE International Symposium of Multimedia , 2012. Details
Shafiee, M. J., Z. Azimifar, and P. Fieguth, "Model-based tracking: Temporal conditional random fields", 17th IEEE International Conference on Image Processing (ICIP), pp. 4645 -4648, 2010. Details
