Assist Prof Dr. Shamrooz Aslam | Networked Control system | Excellence in Research

Assist Prof Dr. Shamrooz Aslam, China University of Mining and Tech, China

Dr. Muhammad Shamrooz Aslam obtained his B.Sc. and M.S. degrees in Electronics and Electrical Engineering from COMSATS University, Pakistan, in 2009 and 2013 respectively. He completed his Ph.D. in Control Science and Engineering from Nanjing University of Science and Technology, China, in 2019. He has held positions as a Lecturer at COMSATS University Islamabad and Associate Professor at Guangxi University of Science and Technology, China. Currently, he serves as an Assistant Professor at the Artificial Intelligence Research Institute, China University of Mining and Technology. His research interests encompass neural networks, fuzzy systems, time-delay systems, stochastic systems, non-linear systems, multi-agent systems, and network control systems, among others.

Professional Profile:

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🎓 Professional Qualifications:

• Ph.D. in Control Science and Engineering from Nanjing University of Science & Technology, China, with a CGPA of 3.45/4.
• M.S. in Electronics and Electrical Engineering from COMSATS Institute of Information & Technology, Pakistan, with a CGPA of 3.33/4.
• B.S. in Electronics and Electrical Engineering from COMSATS Institute of Information & Technology, Pakistan, with a CGPA of 3.58/4.

💼 Career Objective:

Seeking a challenging position as a professional researcher where Muhammad Shamrooz Aslam can utilize his experience and skills to advance his career and contribute to the growth of the university.

🔍 Research Direction:

Muhammad Shamrooz Aslam’s research focuses on Networked Control System, T-S Fuzzy System, Markovian Jump System, Time-varying Delay system, Lyapunov Theory, UAVs, Fault Detection and Isolation system, Neural Networks, Multi-agent systems, and Sliding Mode Control.

📝 Reviewer Experience:

He serves as a reviewer for esteemed journals including IEEE Transactions on Circuits and Systems I: Regular Papers, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Sets and Systems, and IEEE Internet of Things Journal, among others.

Publication Top Notes:

• Reliable control design for composite‐driven scheme based on delay networked T‐S fuzzy system
  • Published in International Journal of Robust and Nonlinear Control, 2020.
  • Citations: 102
• Dynamic stability enhancement using fuzzy PID control technology for power system
  • Published in International Journal of Control, Automation and Systems, 2019.
  • Citations: 100
• Observer-based dissipative output feedback control for network T–S fuzzy systems under time delays with mismatch premise
  • Published in Nonlinear Dynamics, 2019.
  • Citations: 98
• Fault detection for asynchronous T–S fuzzy networked Markov jump systems with new event‐triggered scheme
  • Published in IET Control Theory & Applications, 2021.
  • Citations: 97
• Event‐triggered scheme for fault detection and isolation of non‐linear system with time‐varying delay
  • Published in IET Control Theory & Applications, 2020.
  • Citations: 86