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 and continuous sliding mode control system design and implementation for robotic systems,
- Artificial intelligent-based control systems Design and Implementation using multi-model neural networks, Deep Learning,
and Type-2 Fuzzy Systems), Data-Driven system modeling and system identification.
- Human Robot Interaction and Human and Object Recognition.
- Model-Based System Engineering, which is a new method of creating subsystem models as the primary means of
information exchange between engineers, rather than on document-based information exchange.
- Assisstive and Collaborative robots (Vision-Based Human-Robot Interaction).
- Robot learning and control system design and implementation.
- 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.
- Postdoctoral, Robotics, Control and Mechatronics Laboratory, University of Waterloo, Jan. 2008- July 2010.
- PhD., Mechanical Engineering (Robotics, Robust and Intelligent Control), Queen's University, Canada.
- MSc., Aerospace Engineering (Dynamics and Control), Sharif University of Technology.
- BSc., Mechanical Engineering, University of Tehran.
On The Web
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- Adaptive Sliding Mode Control Design and implementation based on Real time Estimation of Time-Varying Uncertainties.
- Multi-Model Neural Network-Based Robust and Adaptive Control System Development for Robotic Applications.
- Development of a Vision-Based Robot Learning Control for Assistive Robots: This project is aiming at developing an innovative robot learning and control system that realize and improves human-robot interaction in assistive and collaborative robots, robots motion, object manipulation skills, by perception and adaption to a human environment, by robust and accurate movements, and by making correct decisions in a stochastic and dynamic environment (focusing on learning issues of assistive robots).
- Human and Object Detection, tracking Using Deep Learning and Using Single Camera: In this research a novel distance measurement and object identification and feature extraction has been developed using deep-learning techniques and single camera for robotics applications.
- Development of Intelligent neuro-fuzzy modeling Algorith: In this project a systematic modeling algorithm and user friendly asoftware were developed using New Systematic and Multi-Layer Fuzzy System Modeling and Neural Network Modeling and Adaptive Sliding Mode Control developed by Dr. Zeinali, which is applicable to modelling and control of the nonlinear uncertain systems such as robot manipulator.
- Automated Laser Additive Manufacturing System development (Laser Metal Deposition by Powder Injection): This is a collaborative research between I and the Automated Laser Fabrication Laboratory (ALFa) of the University of Waterloo to develop an intelligent control system which is used to produce near net-shaped parts and repair expensive machine components. Identification and modelling of the process and control of height (thickness) of each deposited layer is an important part of my rsearch.
- High Performance Hydraulics Systems Design and Analysis (Developed a Software): This research targets modeling, simulation and implementation of nonlinear adaptive control for the mechnical and mechatronics systms that use high-performance hydraulic systems for their actuation.