Profile page for: Mahdi S. Hosseini | UNB

Mahdi S. Hosseini

Assistant Professor

PhD

J Herbert Smith Centre for TME

Fredericton

mahdi.hosseini@unb.ca



Previous employment

  • Post-Doctoral Fellow, University of Toronto, Toronto, Canada, 2016-2020
  • Research Scientist, Huron Digital Pathology, St. Jacob, Ontario, 2015-2020

Education

  • Ph.D. in Electrical Engineering, University of Toronto, Toronto, Canada, 2015
  • M.A.Sc. in Electrical Engineering, University of Waterloo, Waterloo, Canada, 2010
  • M.Sc. in Electrical Engineering, Tehran University, Tehran, Iran, 2007
  • B.Sc. in Electrical Engineering, Tabriz University, Tabriz, Iran, 2004

Honours and awards

  • MITACS-Elevate Post-Doctoral Fellowship, September 2019 - August 2021
  • NSERC-CRD Post-Doctoral Fellowship, January 2016 - December 2017
  • MITACS-Accelerate Graduate Internship, May 2015 - August 2015
  • Ontario Centre of Excellence (OCE) Graduate Internship, January 2013 - August 2013
  • Graduate Diploma in Teaching Higher Education (THE500), University of Toronto, 2014

Mahdi S. Hosseini is an Assistant Professor in the Department of Electrical and Computer Engineering with a join appointment at the Dr. J Herbert Smith Centre for Technology Management and Entrepreneurship. Dr. Hosseini received his B.Sc., M.Sc., M.A.Sc and PhD in electrical engineering from the university of Tabriz, University of Tehran, University of Waterloo, and University of Toronto in 2004, 2007, 2010, and 2015, respectively.

From 2016 to his start at UNB, Dr. Hosseini served as a Postdoctoral Fellow at the University of Toronto in joint collaboration with Huron Digital Pathology. There he investigated image analytic solutions in digital pathology for improvement of image quality scans in Whole Slide Imaging (WSI) and Artificial Intelligence (AI) and Machine Learning (ML) applied in Computational Pathology for development of Computer Aided Diagnosis (CAD) systems in clinical pathology.

Research interests

  • Machine Learning: Adaptive Optimization, Convolutional Neural Network (CNN), Pattern Recognition
  • Numerical Methods: Signal and Image Processing, Computational Imaging, Image Quality Assessment, Convolutional Filter Design, Inverse Problems, Compressive Sensing
  • Medical Imaging: Digital Pathology, Computational Pathology

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