University of Science and Technology of China | Pakistan
Author Profile
Scopus
Academic and Research Profile of Ambreen Basheer
Early Academic Pursuits
Ambreen Basheer demonstrated academic excellence from an early stage, excelling in both science and engineering disciplines. She did undergraduate in Electrical Engineering at the University of Punjab reflects her commitment to technical rigor. She pursued her Master's studies in system engineering with a specialization in the control system domain at the Pakistan Institute of Engineering and Applied Sciences (PIEAS), Pakistan. Building on this achievement and her solid understanding of the control system design, she has been awarded the ANSO fellowship for her PhD studies at the Department of Automation, University of Science and Technology of China.
Professional Endeavors
Ambreen's research and professional development are characterized by a focused integration of theoretical rigor, which is suitable for practical application. Her work is
primarily situated in the domain of advanced control systems, with a specific emphasis on developing online learning-based methodologies for complex dynamical systems. She possesses deep expertise in the design and stability analysis of adaptive, robust, and nonlinear controllers, often employing Lyapunov-based techniques. A central thrust of her research involves the synthesis of safe online reinforcement learning optimal control. Her research program is centered on the design and analysis of advanced control systems.
Contributions and Research Focus
Her research trajectory began with her Bachelor’s project on Wireless SCADA for Industrial Automation, exploring innovative applications of sensors, microcontrollers, and wireless communication. This technical curiosity deepened during her MS in Systems Engineering (PIEAS), where she published on multi-agent consensus and adaptive control. Currently, as a PhD scholar at the University of Science and Technology of China, her research centers on Control Theory and Control Engineering, with a strong emphasis on:
- Online learning-based control systems
- Safe trajectory tracking
- Dynamic obstacle avoidance
- Kernel-based modeling and barrier functions
Her multiple publications in high-impact journals and IEEE conferences underscore her contributions to autonomous systems and resilient control architectures.
Impact and Influence
Ambreen’s work bridges theory with real-world applications, particularly in safe robotics, vehicle automation, and industrial process optimization. Her research has been published in globally recognized journals such as the Journal of the Franklin Institute, IEEE Transaction, and Applied Mathematics and Computation. By integrating machine learning techniques with nonlinear control systems, she has advanced solutions that improve safety, adaptability, and efficiency in dynamic environments
Academic Citations
With multiple journal publications and international conference proceedings, Ambreen’s scholarly contributions are beginning to gain traction in academic circles. Her citations
are steadily growing as her work addresses cutting-edge challenges in control engineering and autonomous systems, marking her as a rising researcher in engineering sciences.
Legacy and Future Contributions
Ambreen’s journey reflects a blend of academic brilliance, professional adaptability, and innovative research. With expertise spanning engineering systems, intelligent control
systems , and control theory, she stands poised to make cross-disciplinary contributions. Her future research is likely to focus on intelligent automation, resilient networked
systems, and AI-driven control applications, contributing to both industrial innovation and academic knowledge.
Conclusion
Ambreen Basheer represents a new generation of scholars who combine technical mastery with applied problem-solving. Her progression from strong academic
foundations to impactful research demonstrates her dedication to advancing knowledge in control systems, automation, and intelligent engineering applications. With her
international academic exposure and growing publication record, she is well-positioned to leave a lasting legacy in research and higher education.
Notable Publications
“Approximate Optimal Trajectory Tracking and Dynamic Obstacle Avoidance for Affine System via Online Learning"
- Author: Ambreen Basheer , Man Li , Jiahu Qin
- Journal: Journal of the Franklin Institute
- Year: 2025
“Online Learning Based Control for Mobile Vehicle to Avoid Static Obstacles via Kernel Based Safe Dynamic Model"
- Author: Somia Kanwal; Ambreen Basheer
- Journal: Advanced Algorithms and Control Engineering
- Year: 2024
“A novel approach for adaptive H-infinite leader-following consensus of higher-order locally Lipschitz multi-agent systems"
- Author: Ambreen Basheer; Muhammad Rehan; Muhammad Tufail,;Muhammad Ahsan Razaq
- Journal: Advanced Mathematics and computation
- Year: 2024