Mostafa Jalalnezhad | Mobile Robot | Best Researcher Award

Dr. Mostafa Jalalnezhad | Mobile Robot | Best Researcher Award

Kharazmi University | Iran

Dr. Mostafa Jalalnezhad is a dedicated researcher in Mechanical Engineering with a specialization in Control and Vibration, focusing particularly on robotics and mechatronics systems. His research interests encompass robotics, mobile robotics, nonlinear control, and robust adaptive control, reflecting a deep engagement with advanced control methodologies and intelligent systems design. He has contributed to the study and development of dynamic control mechanisms aimed at enhancing the precision, stability, and adaptability of robotic systems in complex environments. As a researcher at Kharazmi University, he actively participates in projects that integrate theoretical and experimental approaches to address challenges in automation and control engineering. His expertise extends to the modeling and simulation of robotic systems, adaptive algorithms for uncertain environments, and the design of control strategies to improve system performance under nonlinear and time-varying conditions. Through his academic and research activities, Dr. Jalalnezhad demonstrates a strong commitment to advancing innovations in mechatronic applications and fostering the integration of control theory with practical robotic solutions, contributing meaningfully to the progress of intelligent mechanical systems and modern automation technologies.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Jalalnezhad, M. (2025, December). Neural network-based intelligent path tracking for nonlinear predictive control in wheeled robots. Journal of the Brazilian Society of Mechanical Sciences and Engineering.

Jalalnezhad, M., Sayed, B. T., Alotaibi, Y., Al-Mohair, H. K., Kareem, A. K., Adel, A. A., Khaddour, R. H., Sharma, M. K., Alanssari, A. I., & Attabi, K. A. L. (2025, December). Real-time vision-based obstacle avoidance for mobile robots using lightweight monocular depth estimation and behavior-driven control. Journal of the Brazilian Society of Mechanical Sciences and Engineering.

Jalalnezhad, M., Sharma, M. K., Mansouri, S., Velmurugan, S., Askar, S., Alawsi, T., Alawadi, A., & Abbas, A. H. (2025, November). [RETRACTED] Learning model predictive controller for wheeled mobile robot with less time delay. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science.

Jalalnezhad, M. (2025, October). Design of intelligent control systems for damping vibrations of composite sheets using piezoelectricity as a sensor and actuator under various disturbance conditions. Journal of the Brazilian Society of Mechanical Sciences and Engineering.

Jalalnezhad, M., Kareem, A. K., Chammam, A., & Al Attabi, K. A. (2025, October). Intelligent vibration control of composite and FGM plates using piezoelectric actuators and optimized sliding mode-based controllers. Journal of Vibration Engineering & Technologies.

Liu Ziguo | Robotics | Best Researcher Award

Mr. Liu Ziguo |  Robotics | Best Researcher Award

Chongqing University,  China

Ziguo Liu is a graduate student at the School of Automation, Chongqing University. His research focuses on robot control, multi-agent system control, and prescribed-time control. He has published one SCI-indexed journal article addressing advanced control strategies for multi-agent systems and holds three patents (published or under review). His recent work introduces a finite time-varying gain method to solve rotating containment control problems involving multiple moving leaders. Ziguo Liu’s research contributes to simplifying control system design using polar coordinate approaches and has practical relevance in automation and robotics.

Profile:

📚 Academic Background & Interests:

Ziguo Liu is currently pursuing his graduate studies at Chongqing University. His research focuses on cutting-edge topics in:

  • 🤖 Robot Control

  • 🤝 Multi-Agent System (MAS) Control

  • ⏱️ Prescribed-Time Control

🧪 Research and Innovation Highlights:

  • Published Journal Article (SCI):
    “Prescribed-Time Rotating Containment Control with Moving Leaders”
    🔗 Read Article

  • 🔬 Research Projects: 1 completed

  • 🧾 Patents: 3 (Published/Under Process)

  • 📘 Books: None

  • 🤝 Industry/Consultancy Projects: None

🚀 Key Contribution:

Ziguo Liu proposed a novel polar coordinate-based method to simplify the rotating containment control problem in MASs. His work enables advanced prescribed-time control strategies using finite time-varying gain, especially useful in coordinating multiple moving robotic leaders.

🌐 Additional Info:

  • 🧑‍🔬 No editorial roles yet

  • 🌍 No international collaborations listed

  • 🎓 No formal professional memberships mentioned yet

Publication:

Finite-gain based prescribed-time rotating containment control for second-order multi-agent systems
Journal of the Franklin Institute, May 2025
DOI: 10.1016/j.jfranklin.2025.107721
Authors: Ziguo Liu, Yujuan Wang, Qing Chen