Opportunities for graduate studies will be posted here when they are available.

However, students with 85% or above in their B.Sc. and M.Sc. are always encouraged to apply as there may be special opportunities for exceptionally talented students.

 Then Peter, filled with the Holy Spirit, said to them: “Rulers and elders of the people!  If we are being called to account today for an act of kindness shown to a man who was lame and are being asked how he was healed, then know this, you and all the people of Israel: It is by the name of Jesus Christ of Nazareth, whom you crucified but whom God raised from the dead, that this man stands before you healed. Jesus is

“‘the stone you builders rejected,
    which has become the cornerstone.’

Salvation is found in no one else, for there is no other name under heaven given to mankind by which we must be saved.”

Acts 4:8-12












Fantahun M. Defersha received his (i) B.Sc. degree in Mechanical Engineering in 1995 from Addis Ababa University, Ethiopia, (ii) MEng. degree (with thesis) in Mechanical Engineering with specialization on Production and Industrial Systems Engineering in 2000 from University of Roorkee (IIT-Roorkee), India, and (iii) PhD in Mechanical Engineering (Thesis area - Manufacturing System) in biography2006 from Concordia University, Montreal, Canada. Prior to moving to Canada, he was a lecturer in the Technology Faculty of Addis Ababa University, Ethiopia, the country's most prestigious university. After completing his PhD at Concordia University in 2006, he became a Research Associate and a Part-time Faculty in the Department of Mechanical and Industrial Engineering of Concordia University and continued till December 2009. He joined the School of Engineering, University of Guelph, Guelph, Ontario, CANADA, as an assistant professor in 2010 and promoted to tenured associate professor in 2015. His research interests are in (1) Manufacturing system analysis, flexible and cellular manufacturing systems, reconfigurable machine tools and reconfigurable manufacturing systems, part sequencing and scheduling, production and inventory planning, Vehicle routing and transportation network optimization, supply chain modeling and simulation, reverse logistics and remanufacturing systems analysis, artificial intelligence, meta-heuristics (2) development of hybrid heuristics for multi-objective optimization problems by combining analytical methods such as simplex algorithm and Lagrangian relaxation with search methods like genetic algorithm and tabu search, and (3) applications of parallel computing in those areas mentioned above.