Engineering Systems and Computing / Computer Engineering

Our ES&C and Computer Engineering researchers work on a wide-variety of areas including, but not limited to: computing systems, sensor networks, communication systems, multimedia, software & hardware engineering, machine learning and artificial intelligence, nano-scale circuit design, mechatronic systems and manufacturing systems.

This breadth of expertise positions us well to push the boundaries of tomorrow’s technology in an effort to find potential solutions to some of the problems facing our society as a whole.  Aligning well with the rest of the School of Engineering and the University of Guelph’s research expertise, the Engineering Systems and Computing / Computer Engineering group is striving to make a difference every day by driving these answers while also training and preparing the next generation of highly qualified engineers who will strive to further this pursuit.

Our Researchers are:

Hussein Abdullah

Hussein A. Abdullah, Ph.D., P.Eng

  • Mechatronic systems design 
  • Rehabilitation robotics 
  • Manufacturing systems
  • Computer integrated manufacturing
  • Advanced automation & robotics 


Shawki Areibi

Shawki M. Areibi Ph.D., P.Eng

  • Physical Design Automation 
  • Reconfigurable Computing Systems
  • Hardware/Software Co-Design for Embedded Systems


Stefano Gregori

Stefano Gregori Ph.D.

  • Micro & nano-scale integrated circuit design
  • Analog & mixed-signal systems
  • Integrated sensors & sensor networks


Medhat Moussa

Medhat Moussa Ph.D., P.Eng

  • Robotics grasping & manipulation
  • Human-robot interaction & user-adaptive robots
  • Robot & embedded machine learning
  • Computer vision & pattern recognition


Radu Muresan

Radu Muresan Ph.D., P.Eng

  • SOC & ASIC designs & implementations
  • Embedded systems design
  • Cryptographic hardware
  • Real-Time embedded hardware
  • Low-power modeling & methodologies


Petros Spachos

Petros Spachos, Ph.D.

  • Wireless Sensor Networks
  • Protocols, programming & security
  • Multi-hop routing protocols 
  • Cognitive radio & opportunistic networks


Graham Taylor

Graham W. Taylor Ph.D.

  • Statistical machine learning
  • Applied to problems in computer vision, graphics, weather modelling, finance, & motion capture-based crowd games


Julie Vale

Julie Vale, Ph.D., P.Eng

  • Optimal control of uncertain systems
  • Sampled data systems & control
  • Fault tolerant control
  • Control of switched systems
  • Control of robotic systems


Simon Yang

Simon X. Yang Ph.D.

  • Robotic systems
  • Neural networks, fuzzy systems, genetic algorithms, & intelligent systems
  • Sensors, Multi-sensor fusion, & signal processing
  • Modeling & analysis of various systems

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