11.1.1 GRADUATE FACULTY
Jullien, Graham A.; B.Tech. (Loughborough), M.Sc. (Birmingham), Ph.D. (Aston), P.Eng.—1969.
Hackam, Reuben; B.Sc. (Technion, Israel), Ph.D., D. Eng. (Liverpool), F.I.E.E.E., P. Eng.—1978.
Miller, William C.; B.S.E. (Michigan), M.A.Sc., Ph.D. (Waterloo), P.Eng.—1968.
Soltis, James; B.Sc. (Windsor), M.Sc., Ph.D. (Michigan), P.Eng..—1974.
Watson, Alan; B.Sc., M.Sc.Tech. (Manchester), D.U.S. (Southampton), Dr. rer. nat. (Kassel, W. Germany), P.Eng.—1977.
Sid-Ahmed, Maher A.; B.Sc. (Alexandria); M.A.Sc., Ph.D. (Windsor)—1978.
Raju, G.R. Govinda; B.E. (Mysore), Ph.D. (Liverpool), F.I.E., P. Eng.—1980. (Head of the Department)
Ahmadi, Majid; B.Sc. (Tehran), D.I.C., Ph.D. C.Eng., F.I.E.E. (Imperial College)—1981.
Kwan, Hon K.; B.Sc. (London), M.Phil. (CUHK), D.I.C., Ph.D. (London), F.I.E.E., C.Eng., P.Eng.—1988.
Alexander, Philip H.; B.A.Sc. (Assumption), M.A.Sc. (Windsor), P.Eng.—1964.
Chikhani, Aziz Y.; B. Sc., M. Sc. (Cairo), Ph.D. (Waterloo), P. Eng.—1985. (Royal Military College of Canada)
Shridhar, Malayappan; B.Sc. (Bombay), D.M.I.T., M.S. (Brooklyn), Ph.D. (Aston), P.Eng.—1986. (Head, Electrical Engineering Department, University of Michigan, Dearborn)
The Department of Electrical Engineering offers graduate programs leading to the degrees of Doctor of Philosophy (Ph.D.) and Master of Applied Science (M.A.Sc.). Research is carried out in the two broadly defined areas of (a) Signals and Systems and (b) High Voltage and Power Systems.
Within the area of Signals and Systems such research topics as speech processing, image processing, digital filtering, discrete transforms, number theory and hardware realizations of signal processing-related devices are investigated. Within this research area the VLSI Research Group investigates modern VLSI implementations of high speed digital signal processing algorithms.
Research within the High Voltage and Power area deals with such topics as power systems, high voltage technology, electrical arcs, insulation and electric and magnetic field calculations.
The graduate course offerings in the Department of Electrical Engineering are designed to complement the two major areas that define the research orientation of the department. Course requirements for the Ph.D. and M.A.Sc. degrees in Electrical Engineering will be selected from the courses listed below and related courses in other departments.
Graduate students in the Department will be associated with one of the two major areas of research. Their program of studies will be formulated in consultation with the departmental graduate advisors and approved by the Department Head.
Only a selected number of the courses listed below will be available each year. The current list will be provided by the departmental Coordinator of Graduate Studies. The following courses all are two hours a week for one term.
Advanced theory and applications of electromagnetic fields and wave propagation.
Selected topics in the properties of electrical, electronic, dielectric and magnetic materials. Measurement techniques of the properties and applications of the materials.
Generation and measurement of high voltages, non-destructive and destructive testing techniques.
High voltage surges, origins, propagation and reflections; transients in power equipment; protection of substations.
Development and application of analytic and numerical techniques for calculating electromagnetic and electrostatic fields. Computer-oriented approaches are emphasized and a project is required.
Ionization and decay processes, electrical breakdown mechanisms in gaseous, liquid and solid insulation.
Thermodynamics of gaseous plasmas. Elenbass-Heller description of the steady state arc. Current zero phenomena in power circuit interruption. Theory of unsteady and transient arc columns. Low and high pressure arcs and their radiative properties. Cathode, anode and wall phenomena. Vacuum arcs in rectifiers and circuit breakers. Arc gas heaters and plasma torches. Thermionic arcs in searchlights and thyratrons. Glow to arc transition.
Discrete processes, Z-transform, recursive and non-recursive digital filters, quantization effects, hardware implementation.
Continuous and discrete signals; sampling theory and practice; filtering, interpolation, coding, statistical concepts, transform methods; power density estimation, correlation functions, convolution.
Continuous and discrete time systems, state formulation techniques, controlability and observability concepts, and system simulation.
Development and applications of probability models in the analysis of stochastic systems; review of probability, random variables and stochastic processes; correlation functions applications to filtering, prediction, estimation and system identification.
Fundamentals of 2-D signals and transforms; Laplace, Z, Fourier, etc. Design, stability, stabilization and implementation of 2-D LSI systems. Reconstruction of signals from their projections.
2-dimensional transformation: translation, scaling, rotation. Clipping and windowing. Transformation system. Interactive graphics. 3-D computer graphics. 3-D transformation. Wire frame perspective display. Hidden line and shading. Display devices, vector generators, display files.
Physiology of human speech production and hearing; mathematical models for vocal tract; estimation of speech parameters; computer synthesis of speech; machine recognition of speech and speakers through speech analysis; applications.
Digital image representation, elements of image processing system, image enhancement, 2-D sampling theorem, image transforms, image restoration and colour image processing.
Introduction to orthogonal transforms, DFT, DCT, DHT; implementation methods; fast algorithms, FFT, WFT; polynomial transforms; finite rings and fields; number theoretic techniques; residue number systems; conversion and computation; finite polynomial rings; VLSI implementation consideration.
Selected topics in the analysis and design of digital systems and sub-systems and their applications in the area of signal processing. (May be repeated more than once for credit if the topics are different.)
Overview of VLSI designs, CAD tools, application, technology; review of properties of silicon, solid state physics and devices; SPICE models; analog simulation; IC technology; target CMOS process; static CMOS logic; principles of standard cell CMOS design; dynamic characteristics of static CMOS logic; dynamic logic; system level considerations; synchronous docking; hardware description languages; silicone compilers.
Introduction to neural networks, the human brain and nervous system; pattern associators; auto-associators and Hopfield network; Hamming network; feed-forward network; other supervised learning neural network models; unsupervised learning neural network models; VLSI implementation; real-world applications.
Introduction to systolic array architectures; mapping methodology; systolic array realization of convolution and discrete Fourier transform; systolic array realization of digital filters; bit-level systolic array realizations; fault-tolerance; VLSI implementation.
Selected advanced topics in a field of research in the Department. (May be repeated more than once for credit if the topics are different.)