William Melek

William Melek is a Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo. He also serves as the Director of the Laboratory of Computational Intelligence and Automation, and the Director of RoboHub.

The Laboratory of Computational and Intelligence Automation conducts research on modular robotics and Intelligent Systems Modeling and Control. The research efforts place emphasis on manufacturing and automotive applications which involves design of modeling and control algorithms for flexible automation, autonomous systems and vehicles stability systems. Bioinformatics is also an area of research undertaken by Professor Melek and his team. This research involves clinical decision-support systems and non-convex optimization methods for scheduling clinical resources.

• Artificial Intelligence
• Intelligent Control
• Mechatronics
• Automotive Design Modeling & Control of Advanced Mechatronics Systems
• Modular and Reconfigurable Robotics & Automation
• Autonomous Navigation and Mobile Manipulation
• Computational Intelligence
• Advanced robotics
• Autonomous vehicles
• Hybrid and electric vehicles
• Big data/analytics
• Sensors and devices
• Autonomous and connected car
• Advanced Manufacturing
• Operational Artificial Intelligence

• 2004, Post Doctorate, Computer Science, Ryerson University
• 2002, Doctorate, Mechanical Engineering, University of Toronto
• 1998, Master's, Mechanical Engineering, University of Toronto
• 1994, Bachelor's, B.A.Sc in Electrical & Computer Engineering, Zagazig University

• ME 595 - Special Topics in Mech Eng
  • Taught in 2017
• ME 599 - Special Topics in Mech Eng
  • Taught in 2018
• ME 649 - Machine and Process Control
  • Taught in 2017
• ME 780 - Spec Tpcs in Mechatronics
  • Taught in 2018
• MTE 100 - Mechatronics Engineering
  • Taught in 2017, 2018, 2019
• MTE 100B - Seminar
  • Taught in 2017, 2018
• MTE 200A - Seminar
  • Taught in 2017, 2018, 2019
• MTE 200B - Seminar
  • Taught in 2017, 2018, 2019
• MTE 300A - Seminar
  • Taught in 2018, 2019
• MTE 300B - Seminar
  • Taught in 2017, 2018, 2019
• MTE 400A - Seminar
  • Taught in 2017, 2019
• MTE 400B - Seminar
  • Taught in 2018, 2019
• MTE 546 - Multi-sensor Data Fusion
  • Taught in 2019

• Mohamed Mehrez, Karl Worthmann, Joseph Cenerini, Mostafa Osman, William Melek, Soo Jeon, Model Predictive Control without Terminal Constraints or Costs for Holonomic Mobile Robots, Robotics and Autonomous Systems, 127, 2020
• Gharibi, Mirmojtaba and Boutaba, Raouf and Waslander, Steven L, Internet of drones, IEEE Access, 4, 2016, 1148 - 1162
• Tribou, Michael J and Wang, David WL and Waslander, Steven L, Degenerate motions in multicamera cluster SLAM with non-overlapping fields of view, Image and Vision Computing, 50, 2016, 27 - 41
• Ahuja, Siddhant and Iles, Peter and Waslander, Steven L, Three-dimensional Scan Registration using Curvelet Features in Planetary Environments, Journal of Field Robotics, 33(2), 2016, 243 - 259
• Daly, John M and Ma, Yan and Waslander, Steven L, Coordinated landing of a quadrotor on a skid-steered ground vehicle in the presence of time delays, Autonomous Robots, 38(2), 2015, 179 - 191
• Mathew, Neil and Smith, Stephen L and Waslander, Steven L, Planning paths for package delivery in heterogeneous multirobot teams, IEEE Transactions on Automation Science and Engineering, 12(4), 2015, 1298 - 1308

• COVID-19 tracing system receives provincial funding boost
• Airline to pilot Waterloo contact tracing tech for COVID
• New AI technology will be used to improve contact tracing for COVID-19

• Currently considering applications from graduate students. A completed online application is required for admission; start the application process now.