B.Sc. (University of Jordan), 2013; M.Sc. (University of Jordan), 2020; Ph.D. (Memorial) 2024

• Postdoctoral Fellow, Program Coordinator (CREATE-SWIFT)

Contact Information

• Telephone: 709-219-9200
• Email: mialsaaideh [at] mun.ca
• Office: CSF3101, ENG1010

Areas of Expertise

Precision mechatronics, adaptive optics, motion control, reluctance actuator, Koopman operator theory, nonlinear control

Research Interests

My research interests focus on the development of intelligent modeling, estimation, and control methodologies for complex electromechanical and opto-mechatronic systems.

Personal Profile

Mohammad Al Saaideh is a Postdoctoral Researcher in the Department of Electrical and Computer Engineering at Memorial University of Newfoundland, Canada. He received his B.Sc. and M.Sc. degrees in Electrical Engineering from the University of Jordan in 2013 and 2020, respectively, and his Ph.D. in Electrical Engineering from Memorial University of Newfoundland in 2024.

His research focuses on intelligent mechatronic systems, nonlinear system identification, data-driven modeling, and advanced control methodologies. His work integrates Koopman operator theory, machine learning, and physics-based modeling to develop predictive and inverse control strategies for complex dynamical systems.

His research applications include adaptive optics and deformable mirrors, precision motion systems, wafer-handling robotics, piezoelectric and reluctance actuators, and intelligent sensor systems. He is also interested in fault detection, condition monitoring, and data-driven methods for improving the reliability and performance of engineering systems.

In addition to his research activities, he contributes to interdisciplinary research collaborations, research proposal development, and highly qualified personnel training. He serves as the Coordinator of the NSERC CREATE-SWIFT training program, supporting collaborative research and training activities involving academic and non-academic partners.

Teaching Areas

Control systems engineering, modern and advanced control systems, mechatronics, system dynamics and modeling

Research Areas

Intelligent Adaptive Optics and Wavefront Control

Development of data-driven prediction, estimation, and inverse control methods for deformable mirrors and Shack–Hartmann wavefront sensing systems, including Koopman-based models and neural network approaches.

Koopman-Based Modeling and Control of Mechatronic Systems

Development of forward and inverse dynamic models for precision motion systems and wafer-handling robots to improve trajectory tracking and compensate for dynamic effects.

Modeling and Control of Smart Actuators

Nonlinear modeling, system identification, and control of piezoelectric and electromagnetic reluctance actuators, including hysteresis compensation and physics-informed Koopman modeling.

Intelligent Sensor Systems and Fault Diagnosis

Development of machine learning-based sensor-to-sensor prediction and fault detection methodologies for monitoring and diagnosing faults in battery and electromechanical systems.

Professional/Academic Affiliations

• Department of Electrical and Computer Engineering, Memorial University of Newfoundland
• Coordinator, NSERC CREATE-SWIFT Program

Awards, Distinction or Recognition

• Fellow of the School of Graduate Studies, Memorial University of Newfoundland, 2022–2023, in recognition of outstanding academic achievements during doctoral studies.
• Canadian Society for Mechanical Engineering recognition: 2024

Profile Links

Google Scholar: https://scholar.google.com/citations?user=dGJRlrMAAAAJ&hl=en

ORCID: https://orcid.org/0000-0003-1779-7012

ResearchGate: https://www.researchgate.net/profile/Mohammad-Al-Saaideh