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 A. Abdullah, Ph.D., P.Eng
habdulla@uoguelph.ca
- Mechatronic systems design
- Rehabilitation robotics
- Manufacturing systems
- Computer integrated manufacturing
- Advanced automation & robotics
Shawki M. Areibi Ph.D., P.Eng
sareibi@uoguelph.ca
- Physical Design Automation
- Reconfigurable Computing Systems
- Hardware/Software Co-Design for Embedded Systems
Stefano Gregori Ph.D.
sgregori@uoguelph.ca
- Micro & nano-scale integrated circuit design
- Analog & mixed-signal systems
- Integrated sensors & sensor networks
Medhat Moussa Ph.D., P.Eng
mmoussa@uoguelph.ca
- Robotics grasping & manipulation
- Human-robot interaction & user-adaptive robots
- Robot & embedded machine learning
- Computer vision & pattern recognition
Radu Muresan Ph.D., P.Eng
rmuresan@uoguelph.ca
- SOC & ASIC designs & implementations
- Embedded systems design
- Cryptographic hardware
- Real-Time embedded hardware
- Low-power modeling & methodologies
Petros Spachos, Ph.D.
petros@uoguelph.ca
- Wireless Sensor Networks
- Protocols, programming & security
- Multi-hop routing protocols
- Cognitive radio & opportunistic networks
Graham W. Taylor Ph.D.
gwtaylor@uoguelph.ca
- Statistical machine learning
- Applied to problems in computer vision, graphics, weather modelling, finance, & motion capture-based crowd games
Julie Vale, Ph.D., P.Eng
jvale@uoguelph.ca
- Optimal control of uncertain systems
- Sampled data systems & control
- Fault tolerant control
- Control of switched systems
- Control of robotic systems
Simon X. Yang Ph.D.
syang@uoguelph.ca
- 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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