Evan Norris

Ph.D. Candidate
University of Ottawa
evangnorris@gmail.com / enorr105@uottawa.ca

About Me

I am a Ph.D. Candidate in the Department of Physics at the University of Ottawa in Ottawa, Ontario, Canada specializing in computational microscopy and the solution of inverse problems in computational nanophotonics and nonlinear optics.

Research Interests

Optimization Algorithms- Genetic Algorithm, Gradient Descent
Computational Microscopy- Nonlinear Optical Imaging, Phase Reconstruction
Deep Learning- Regression Analysis, Image Analysis

Selected Teaching Experience

PHY 1321 - First Year Physics Laboratory - Lecture students about and assiste students in the completion of kinematics and particle dynamics laboratory experiments.
PHY 3355 - Statistical Thermodynamics - Assist students and grading assignments related to third year statistical thermodynamics coursework.

Language Skills

English - Native Speaker
Deutsch - A1 Beginner
Nederlands - A1 Beginner

Publications

CLEO

Prediction of Optical Scattering from Plasmonic Nanostructures using Deep Convolutional Neural Networks

E.G. Norris*, J. Baxter, J. Desaultels, L. Ramunno (*Corresponding authors)

CLEO 2023.

PDF Oral Presentation

COSI

Orientation Imaging using Tensorial Ptychography

E.G. Norris, J. Van Der Kolk., L. Ramunno

Computational Optical Sensing and Imaging, 2022.

PDF Oral Presentation

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