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The University of Winnipeg

Dr. Christopher Bidinosti

Christopher Bidinosti Title: Professor
Phone: 204.786.9718
Office: 3L17
Building: Lockhart Hall
Email: c.bidinosti@uwinnipeg.ca

Degrees:
Ph. D. (University of British Columbia, 2000)

Courses:
(2024-2025)

  • PHYS-2200: Electricity & Magnetism (Fall 2024)
  • PHYS-2200L: Electricity & Magnetism (Fall 2024), Laboratory
  • PHYS-2202: Optics and Waves (Winter 2025)
  • PHYS-2202L: Optics and Waves (Winter 2025), Laboratory

Research Interests:

My main research interest is the development of novel techniques of nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI), with a particular focus on low field NMR/MRI and the use of hyperpolarized nuclei.  Applications of my work range from medical imaging to fundamental physics.  Current research projects and collaborations include (i) TRASE MRI, which is a new imaging technique that uses RF phase-gradient fields to achieve spatial encoding, (ii) experimental searches of the possible permanent electric dipole moment (EDM) of the neutron and Xe-129, and (iii) high performance computing using graphics processing units (GPUs).  I have a general interest in magnetics, including coil design, active and passive shielding, and magnetometry.

I am also co-founder of the TerraByte project (https://terrabyte.acs.uwinnipeg.ca/) at UWinnipeg with Dr. Christopher Henry.  A primary goal of this work is to enable the development of machine learning applications in agriculture through the automated generation of labled images of Canadian crop plants and weeds. The data sets will be made publicly available in order to spur innovation. 

Publications:

  • N Noshiri et al., "A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images", Smart Agriculture Technology 5, 100316 (2023)
  • AE Krosney et al., "Inside out: transforming images of lab-grown plants for machine learning applications in agriculture", Frontiers in Artificial Intelligence 6, 1200977 (2023)
  • CP Bidinosti, G Tastevin, P-J Nacher, "Generating accurate tip angles for NMR outside the rotating-wave approximation," Journal of Magnetic Resonance 345, 107306 (2022)
  • AE Krosney, M Lang, JJ Weirathmueller, and CP Bidinosti,"Magnetic diffusion, inductive shielding, and the Laplace transform," American Journal of Physics 89, 490 (2021)
  • MA Beck, C-Y Liu, CP Bidinosti, CJ Henry, CM Godee, and M Ajmani, "An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture," PLoS ONE 15, e0243923 (2020)
  • PJ Nacher, S Kumaragamage G Tastevin and CP Bidinosti, "A fast MOSFET rf switch for low-field NMR and MRI", Journal of Magnetic Resonance 310, 106638 (2020)
  • CY Liu, T Andalib, DCM Ostapchuk and CP Bidinosti, "Analytic models of magnetically enclosed spherical and solenoidal coils", Nuclear Inst. and Methods in Physics Research A 949, 162837 (2020)
  • ML Honke and CP Bidinosti, "The metallic sphere in a uniform ac magnetic field: A simple and precise experiment ...", American Journal of Physics 86, 430 (2018)