Dr. Van received a BASc degree in engineering physics from Simon Fraser University, Burnaby, BC, and a PhD degree in electrical engineering from the University of Waterloo, Ontario. Dr. Van was the recipient of the NSERC Doctoral Prize in 2001. From 2000 to 2001, he was a research associate with the Laboratory for Physical Sciences, University of Maryland, College Park. After a brief period working in industry, he joined the University of Alberta in 2005 and is currently a Professor and Director (Electrical Engineering) in the Department of Electrical and Computer Engineering.
Dr. Van’s research interests include the design, simulation and fabrication of micro and nanophotonic devices and their applications in fibre optics communication, optical signal processing and optical sensing.
Introduction to advanced numerical methods such as finite-difference, finite-element and spectral-domain techniques for solving partial differential equations. Simulations of nanoscale systems involving multiphysics or coupled differential equations involving electron and thermal transport phenomena, electrodynamics, MEMS, and process simulation, graphical methods for 3D visualization of simulation data. Examples from applied areas of nanoengineering to demonstrate computational methods for understanding complex physical phenomena and for designing and simulating nanoscale devices and systems. Prerequisites: ECE 341 or MATH 309 or 311. Credit may be obtained in only one of ECE 452 or E E 445.Fall Term 2020
Electromagnetic wave propagation at optical frequencies and approximations. Thermal and luminescent light sources, optical beams. Ray and Gaussian optics and simple optical components. Wave optics, polarization, interference, interferometric devices. Light-matter interactions. Optics of crystals; polarizers and waveplates. Photodetectors. Photonic engineering applications. Corequisite: ECE 370 or E E 315, or PHYS 381. Note: Only one of the following courses may be taken for credit: ECE 471, E E 471 or PHYS 362.Fall Term 2020
Review of techniques and applications in compational electromagnetics. Finite-Difference Time-Domain solution of Maxwell's equations: boundary conditions, numerical stability, numerical dispersion, near-to-far field transformation. Introduction to Finite-Elements Technique: basis and weighting functions, Galerkin's method, nodal and edge elements, variational formulation, applications. Introduction to the Method of Moments: integral formulation of electrostatics, Green's function, point matching and Galerkin's method, treatment of open regions.Fall Term 2020