معرفی
Meysar Zeinali-Ghayeshghorshagh is an Associate Professor at Laurentian University's Bharti School of Engineering & Computat. He holds a BSc in Mechanical Engineering from the University of Tehran, an MSc in Aerospace Engineering from Sharif University of Technology, and a PhD in Mechanical/Mechatronics Engineering from Queen's University. He completed postdoctoral research at the University of Waterloo and is a licensed Professional Engineer in Ontario.
His research focuses on AI-based control systems, robotics, and adaptive control methodologies. Key areas include:
- Adaptive sliding mode control for robotic systems
- Deep learning and neural network applications in control systems
- Human-robot interaction and object recognition
- Laser additive manufacturing process control
- High-performance hydraulic systems design
Publication analysis shows consistent focus on robotics control, adaptive systems, and AI applications in engineering, with recent work emphasizing deep learning integration with traditional control methods.
Achievements include:
- Best Paper Competition Finalist at iFUZZY 2017
- Top 25 most read article in Journal of Mechanism and Machine Theory (2009-2010)
He currently supervises graduate students and collaborates with the Automated Laser Fabrication research group at the University of Waterloo.
