معرفی
Sadeq Yaqubi is a Postdoctoral Researcher in Automation Technology and Mechanical Engineering, focusing on advanced control methodologies for flexible robotic systems. His research integrates partial differential equations (PDEs), nonlinear control theory, and machine learning to address challenges in manipulator dynamics, endpoint control, and deflection mitigation.
Key research interests include boundary control of distributed systems, computational efficiency in sensor-based estimation, and semi-analytical controller design for non-homogeneous boundary conditions. His work emphasizes practical applications such as vibration suppression in heavy-duty manipulators and real-time adaptive learning for multivariable systems.
Yaqubi's contributions span conference proceedings (CASE, ROBIO) and journals like the International Journal of Robust and Nonlinear Control. His articles explore topics ranging from reinforcement learning-based motion planning to model predictive control of uncertain systems. Collaborations focus on automation technology and mechanical engineering innovations.
No scientific awards are explicitly listed in the provided materials. Research activity highlights include 5+ peer-reviewed publications between 2020–2025, with a focus on flexible manipulator control and PDE-driven methodologies. No grants or advising roles are mentioned in the text.
