Papers

5

Total Citations

80

H-Index

5

About

Hamed Kazemi is a control systems and robotics researcher whose work spans robot dynamics and control, nonlinear state estimation, fault diagnosis, and rehabilitation robotics. His most recognized contribution, "Modeling and Robust Backstepping Control of an Underactuated Quadruped Robot in Bounding Motion" (2012, 34 citations), established a rigorous model-based framework for exponential stabilization of complex underactuated robotic systems — a foundational challenge in legged locomotion research. Complementing this, his highly cited work on optimal state estimation and fault diagnosis for nonlinear systems (2020, 25 citations) introduced an innovative observer design grounded in Lyapunov stability theory, offering provably optimal performance for actuator and plant fault detection — a critical capability in safety-critical engineering applications. Beyond theoretical control, Kazemi has made meaningful contributions to applied rehabilitation engineering. His research on post-stroke hand function characterization and the development of a two-degree-of-freedom robotic interface for grip strength, coordination, and finger extension training reflects a commitment to translating engineering expertise into clinical benefit. Together, his body of work — accumulating over 80 citations across disciplines — demonstrates a versatile research profile that bridges rigorous mathematical control theory with real-world robotics and human rehabilitation applications.

Research Focus

Key Achievements

5
H-Index
5
Papers
80
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Modeling and robust backstepping control of an underactuated quadruped robot in bounding motion
34 citations · 2012
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Tarbiat Modares University, Shahid Beheshti University, McGill University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago