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brucecockburn

Bruce Cockburn

Professor

Engineering

Electrical and Computer Engineering

About Me

Bruce F. Cockburn completed a BSc degree in Engineering Physics in 1981 at Queen's University in Kingston, Ontario. In 1985 and 1990 he completed M Math and PhD degrees, respectively, in Computer Science at the University of Waterloo. His doctoral thesis considered the design and analysis of provably optimal test algorithms for classes of faults in semiconductor memories.

Dr. Cockburn is currently an Associate Professor in the Department of Electrical and Computer Engineering at the University of Alberta. From 1981 to 1983 he worked as a test engineer and software designer at Mitel Corporation, Kanata, Ontario, Canada. His research interests include VLSI design and test, parallel signal processing algorithms and architectures, applications of field-programmable gate arrays, iterative decoder architectures, MIMO decoder architectures, fading channel simulators, and other hardware blocks for accelerating communications system verification and performance measurement.

Dr. Cockburn is a member of the IEEE Computer Society, the IEEE Communications Society, the IEEE Solid-State Circuits Society, the IEEE Signal Processing Society, and the Association for Computing Machinery. He is a registered Professional Engineer in the Province of Alberta, Canada.


Research

Research Interests

My research interests lie in a variety of areas in Computer Engineering, Communications, and Signal Processing. A general theme is the efficient hardware implementation of computationally-intensive algorithms. For example, the signal processing that must be performed within a cellular telephone requires computational resources that used to be considered the domain of supercomputers. It is a challenging problem to efficiently exploit modern semiconductor technology to ensure that all of the required computation is completed within strict time constraints. Ensuring the lowest possible energy consumption is also important since many modern communications devices are battery-powered.

Current Research

My research group is currently investigating hardware-accelerated models of wireless fading channels and parallelizable decoders for wireless signals in multiple antenna systems. Wireless fading is the phenomenon that causes received wireless signals to vary rapidly in strength due to constructive and destructive interference between the many possible propagation paths between the transmitting antenna(s) and the receiving antenna(s). The conventional practice is to use wireless fading channel models implemented as software programs. Implementing those same channel models in hardware allows system simulation times to be reduced by several orders of magnitude. The resulting faster simulation times are permitting my group to more rapidly and effectively investigate new parallel hardware designs for the decoder circuits that are used to accurately decode the radio signals arriving at the receiver antenna(s).