Medhat Moussa

Headshot of Medhat Moussa
Professor
School of Engineering
Email: 
mmoussa@uoguelph.ca
Phone number: 
(519) 824-4120 ext. 53425
Office: 
THRN 1343
Seeking academic or industry partnerships in the area(s) of: 
Bin picking and challenging grasping problems in Industrial automation; Industrial machine vision, defect and fault detection, and automated quality control; Agriculture automation: harvesting, scouting for diseases, and intelligent data analysis
Available positions for grads/undergrads/postdoctoral fellows: 
Yes.

Instrumentation and Capabilities

Prof. Moussa’s lab develops complete prototypes of robotics systems that may include any of the following components: 

  • Industrial robot manipulator (e.g. FANUC and Kuka)
  • Wide range of sensors and cameras
  • Computers and specialized computing hardware like FPGAs
  • Software to interface, integrate, and control all equipment. 

Education and Employment Background

Prof. Medhat Moussa received his PhD in Systems design Engineering from the University of Waterloo, M.Sc. in from the Université de Moncton, and B.Sc. from American University in Cairo in 1996, 1992, and 1987 respectively. In 2000, he joined the University of Guelph’s School of Engineering, where he is now a full professor.


Research Themes 

Prof. Moussa’s research is focused on developing robots that sense, learn, and act in non-structured, uncertain, and cluttered environments. We are currently witnessing a revolution in the use and deployment of robotics systems. On top of an increased pace of automation in traditional industries like automotive and electronics manufacturing, robots are now used in a wide range of applications, from health care to agriculture. New records of robot sales have been set every year for the past several years. This revolution is fueled by incredible advances in several fields like machine learning, machine vision, human-robot interaction, and computing systems and architectures. Moussa maintains strong collaborative relationships with a variety of industry partners, and he is particularly interested in working on real-world problems. Key areas of focus include:

  1. Robotics grasping and manipulation. Grasping is a hard problem in robotics. Moussa takes a data-driven approach to explore how robots can learn to reach and grasp a wide range of objects in uncluttered and unstructured environments.
  2. Robot Learning and robot vision. To enable robots to survive in a dynamic environment, it must continuously learn new skills using a wide range of sensors. Moussa explores developing hybrid learning architecture that integrates domain knowledge, past experience, and transfer learning to enhance generalization and robustness. 
  3. Applied research projects: Moussa has a significant portfolio of applied research projects that focus on knowledge transfer of research results from the lab to solve real-world problems. The current focus is on two main industrial sectors: automotive and agriculture. 

Highlights 

  • Agriculture and Agrifood Canada Grant for “Reduced production cost and enhanced labour efficiency using the Guelph Intelligent Greenhouse Automation System,” 2018
  • Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant for “Multilayered grasp and manipulation system for application in uncertain environments,” 2018
  • NSERC Canada-Germany Industry 4.0 Partnering Mission, 2018
  • Professional Engineer (Ontario) and AIA Certified Vision Professional -advanced level

Media Coverage