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Hire Geoff K.

Canada

USD 25 /hr

Machine/Deep Learning, Data Science, and Computer Vision PhD Candidate

Profile Summary

I am currently a PhD Candidate at the University of Toronto focusing on computer vision tasks with 3D medical images. I have experience in machine and deep learning with Python through Sciki-Learn, PyTorch and Keras/TensorFlow. My current project involves predicting stability of metastatically involved vertebral bodies by leveraging Convolutional Neural Networks (CNN) and Computer Vision. My maters works was focused on Non-Destructive Testing using electromagnetic induction and eddy current analysis to model a probe used in the CANada Deuterium Uranium (CANDU) Nuclear Reactors. This work leveraged Finite Element Modelling through COMSOL as well as semi-analytical modelling done in Matlab.

Subject Matter Expertise

• ★ Machine Learning
• ★ Deep Learning
• ★ Computer Vision
• ☆ Nuclear Engineering
• ☆ Data Science
• ☆ Electromagnetism
• ☆ Python
• ☆ Matlab

Services

• Research
• Consulting
• Data & AI

Research Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Algorithm Design-Non ML, Data Visualization

Work Experience

PhD Researcher

University of Toronto

September 2017 - Present

Graduate Research Student

Queen's University

May 2016 - August 2017

Research Student

Royal Military College of Canada

May 2015 - May 2016

Education

PhD (Medical Biophysics)

University of Toronto

September 2017 - Present

M.A.Sc (Physics, Engineering Physics, and Astronomy)

Queen's University

May 2016 - August 2017

B.Sc. in Engineering/Engineering Physics (Physics, Engineering Physics, and Astronomy)

Queen's University

September 2012 - May 2016

Certifications

• Certification details not provided.

Publications

CONFERENCE PAPER

Klein, Geoff and Martel, Anne and Sahgal, Arjun and Whyne, Cari and Hardisty, Michael(2020). Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline. Computational Methods and Clinical Applications for Spine Imaging. p. 15--28. Springer International Publishing

Klein, G., Morelli, J., Krause, T.W.(2018). Model based optimization of driver-pickup separation for eddy current measurement of gap . AIP Conference Proceedings. 1949.

Klein, G., Morelli, J., Krause, T.W.(2017). Evaluation of effect of temperature variation on pressure tube to calandria tube GAP measurements . 37th Annual Conference of the Canadian Nuclear Society and 41st Annual CNS/CNA Student Conference.

Bennett, P., Klein, G., Luloff, M., Underhill, P.R., Morelli, J., Krause, T.W.(2017). Minimization of lift-off effects on gap measurements using optimal frequencies . 37th Annual Conference of the Canadian Nuclear Society and 41st Annual CNS/CNA Student Conference.

(2016). Comparison of 2D and 3D FEM Models of Eddy Current Pressure Tube to Calandria Tube Gap Measurement . 2016 COMSOL Conference in Boston.

JOURNAL ARTICLE

Klein, G., Luloff, M.S., Morelli, J.E., Krause, T.W.(2019). Evaluation of Concentric Tube Model for Pressure Tube to Calandria Tube Gap Measurement . IEEE Sensors Journal. 19. (15). p. 6233-6239.

Klein, G., Morelli, J., Krause, T.W.(2018). Analytical model of the eddy current response of a drive-receive coil system inside two concentric tubes . NDT and E International. 96. p. 18-25.