RESEARCH & FACULTY
Meysar Zeinali
Meysar Zeinali
Assistant ProfessorEngineering
Sciences and Engineering
705.675.1151 ext. 2251
F-220A
Sudbury Campus
Meysar Zeinali received the Ph.D. degree in mechanical engineering (specialized in robotics and control theory) from Queen's University, Kingston, ON, Canada. He was a Postdoctoral Fellow in the Mechanical and Mechatronics Engineering Department of the University of Waterloo and currently he is an Assistant Professor in the School of Engineering at Laurentian University, Sudbury, ON, Canada.
He is an expert in robust intelligent control of robotics systems, nonlinear uncertain systems modeling using neuro-fuzzy methods, Learning control for robotic systems, control system design and implementation for additive manufacturing systems (laser metal deposition by powder injection) and has developed a new systematic neuro-fuzzy modeling method and very interactive modeling software based on the developed neuro-fuzzy method.
He has authored more than 25 refereed journal and conference publications, as well as three comprehensive reports for aerospace industry and automotive industry. Professor Zeinali is a member of IEEE (the Institute of Electrical and Electronic Engineers), CSME (the Canadian Society of Mechanical Engineering), and a member of the editorial board of the International Journal of Advanced Robotics Systems.
- Postdoctoral (University of Waterloo)
- PhD. (Queen's University)
- MSc. (Sharif University of Technology)
- BSc. (Tehran University)
- Learning Techniques for Human–Robot Interaction focusing on learning issues for assistive robotics
- Vision-Based Learning Control Design and Implementation for Robotic Applications,
- Robust and Intelligent Control Design and Implementation for Robotics Systems,
- Adaptive Sliding Mode Control Design and Implementation
- Modeling and Simulation of Complex Dynamic Systems Using New Systematic Neuro-Fuzzy Modeling
- Geometry Control of Laser Metal Deposition by Powder Injection
- Queen's University Thesis Completion Bursary Award
- Ontario Graduate Student Scholarship, Queen's University
- The Ministry of Higher Education Scholarship, Department of Aerospace Engineering, Sharif University of Technology
- Application of Adaptive Sliding Mode Control for Regenerative Braking Torque Control
- Adaptive sliding mode control with uncertainty estimator for robot manipulators
- Development of an Adaptive Fuzzy Logic-Based Inverse Dynamic Model for Laser Cladding Process
- Height Control in Laser Cladding Using Adaptive Sliding Mode Technique: Theory and Experiment
- Systematic adaptive fuzzy logic modelling of complex systems from input-output data
