Prof Dr . Muhammad Shamrooz Aslam - Control System - Best Paper Award

China University of Mining and Tech. | China

Author Profile 

Early Academic Pursuits

He, born on February 25, 1986, in Pakistan, has established himself as a distinguished researcher in the field of Control Science and Engineering. His academic journey began with a B.Sc. in Electronics and Electrical Engineering from COMSATS University, Abbottabad, Pakistan, in 2009. This was followed by an M.S. in Electrical Engineering from the same university's Attock campus in 2013. His thirst for knowledge led him to pursue a Ph.D. in Control Science and Engineering, which he completed in 2019 at the School of Automation, Nanjing University of Science and Technology, P.R. China. Throughout his academic career, he has demonstrated a profound commitment to his field, laying a strong foundation for his subsequent professional endeavors.


Professional Endeavors

After completing his education, he embarked on a career that blended teaching and research. From 2010 to 2015, he served as a Lecturer in the Department of Electrical Engineering at COMSATS University, Islamabad, Attock campus. His tenure there was marked by his dedication to imparting knowledge and fostering a research-oriented environment. Currently, he is an Assistant Professor at the Artificial Intelligence Research Institute, China University of Mining and Technology, Xuzhou, China. In this role, he continues to influence the next generation of engineers and researchers with his expertise in artificial intelligence and control systems.


Contributions and Research Focus in Control System

His research interests are diverse and impactful. They include Artificial Intelligence, Stochastic Network Configuration (SCN), Soft Robotics, Cybersecurity Control, neural networks, fuzzy systems, time-delay systems, nonlinear systems, multi-agent systems, and network control systems. His work often focuses on optimization techniques, networked control systems, T-S fuzzy systems, Markovian jump systems, time-varying delay systems, Lyapunov theory, UAVs, fault detection and isolation systems, neural networks, multi-agent systems, and sliding mode control.

His notable publications include:

  1. Observer-Based Control for Stochastic Maximum Power Point Tracking for Photovoltaic Systems (IEEE Transactions of Fuzzy Systems, 2023)
  2. A Delayed Takagi-Sugeno Fuzzy Control Approach With Uncertain Measurements (Information Sciences, 2023)
  3. Robust Stability Analysis for Takagi-Sugeno Fuzzy Systems in Hypersonic Vehicles (Information Sciences, 2023)
  4. Modeling of Nonlinear Supply Chain Management with Takagi-Sugeno Fuzzy Control (Engineering Applications of Artificial Intelligence, 2024)
  5. Fuzzy PD-Sliding Mode Control Design for Networked Systems with Time Delays (European Journal of Control, 2024)

These publications highlight his contributions to enhancing the robustness and stability of control systems under various conditions, showcasing his ability to address complex challenges in engineering.

Accolades and Recognition

His expertise has been recognized through his role as a reviewer for several prestigious journals, including IEEE Transactions on Circuits and Systems, IEEE Transactions on Neural Networks and Learning Systems, and IEEE Internet of Things Journal. His work has not only garnered respect from his peers but has also contributed significantly to the advancement of knowledge in his field. His academic excellence is reflected in his professional qualifications, such as his Ph.D. from Nanjing University of Science and Technology, with a commendable CGPA of 3.45/4.

Impact and Influence

His research has had a substantial impact on both academia and industry. His work on networked control systems and fuzzy logic controllers has practical applications in areas such as UAVs, robotics, and cybersecurity. By addressing critical issues like fault detection and isolation in complex systems, he has contributed to enhancing the reliability and efficiency of modern technological systems. His role in developing innovative control strategies has positioned him as a leading figure in his field.

Legacy and Future Contributions

Looking forward, he aims to continue his pioneering research and contribute to the growth of both academia and industry. His career objective is to hold a challenging position as a professional researcher, where he can use his experience and skills to advance his field and promote institutional and industrial growth. His ongoing projects and future research endeavors are expected to further influence the development of intelligent control systems and their applications in various domains.



Citations     1098

h-index        16

i10-index     24


Notable Publications
Muhammad Shamrooz Aslam | Control System | Best Paper Award

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