Meysar Zeinali
Associate Professor
Chemical Engineering
Laurentian University
Canada
Biography
Meysar Zeinali received the BSc degree in Mechanical Engineering from Tehran University, the MSc degree in Aerospace Engineering (Control and Dynamics) from Sharif University of Technology and the PhD. Degree in mechanical engineering specialized in robotics and control theory from Queen's University, Kingston, ON, Canada. He worked as a Postdoctoral Scholar in the Mechanical and Mechatronics Engineering Department of the University of Waterloo from Jan. 2008 to July 2010. Dr. Zeinali currently is an Associate Professor in the School of Engineering at Laurentian University and member of Automated Laser Fabrication research group at University of Waterloo. He is a licensed Professional Engineer in Ontario, and worked in Aerospace industry and Machine Building industry as team lead and head of R&D department before joining the University. Prof. Zeinali's area of research include: - Control theory: Adptive sliding mode control system design and implementation for robotic systems, Robust intelligent control systems using fuzzy modeling and neural networks, Nonlinear uncertain system modeling and system identification. - Assisstive and Collaborative robots (Vision-Based Human-Robot Interaction). - Robust learning control system for robots. - High-performance hydraulic systems design and analysis. - Control system design for Laser additive manufacturing process. He has developed a new systematic neuro-fuzzy modeling method and a interactive neuro-fuzzy modelling software based on the developed neuro-fuzzy method. Professor Zeinali is a member of IEEE (the Institute of Electrical and Electronic Engineers), member of the American Society of Mechanical Engineering ASME, and a member of the editorial board of the International Journal of Advanced Robotics systems.
Research Interest
Engineering Science, Engineering and Architecture