Dr. Fan Wang | Engineering | Best Researcher Award

Nanjing University of Information Science and Technology | China

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Early Academic Pursuits

Dr. Fan Wang's academic journey commenced with a Bachelor of Science in Mathematics from Hefei Normal University, China. This foundational education laid the groundwork for her subsequent pursuit of higher studies. She then pursued a Master's degree at the School of Mathematics, Southeast University, Nanjing, China, followed by a Doctor of Science degree, further specializing in Mathematics.

Professional Endeavors

Dr. Wang's professional endeavors reflect a global engagement with various esteemed academic institutions. She has held research positions at prominent universities such as the University of Macau, the University of Hong Kong, and Southeast University in China. Additionally, she has enriched her academic experience through international collaborations, serving as a Visiting PhD Student at Brunel University London, UK, and an Alexander von Humboldt Research Fellow at the University of Duisburg-Essen, Germany.

Contributions and Research Focus

Dr. Wang's research primarily focuses on advanced topics in control theory, with a specialization in two-dimensional systems and sensor networks. Her contributions encompass robust control and filtering techniques, distributed filtering over wireless sensor networks, and state estimation for networked systems with incomplete information. Through her publications in esteemed journals and conferences, she has significantly advanced the understanding and application of these techniques in real-world scenarios.

Accolades and Recognition

Dr. Wang's dedication and contributions to the field have been recognized through various awards and honors. Notably, she received the prestigious Alexander von Humboldt Research Fellowship of Germany in 2020 and has been acknowledged as an Excellent Reviewer of Neurocomputing in 2023. Her outstanding contributions to research have consistently earned her recognition from peers and institutions alike.

Impact and Influence

Dr. Wang's research has made a significant impact on the field of control theory and related disciplines. Her work on recursive filtering, robust state estimation, and protocol-based control has contributed to advancing the state-of-the-art in handling complex systems with limited information and communication constraints. Her findings have practical implications across diverse domains, including engineering, automation, and information technology.

Legacy and Future Contributions

Dr. Wang's legacy lies in her pioneering research and dedication to advancing the frontiers of control theory. Her work serves as a foundation for future researchers in the field, offering insights and methodologies that can address emerging challenges in complex system analysis and control. Her commitment to excellence and interdisciplinary collaboration ensures that her contributions will continue to shape the landscape of control theory and its applications in the years to come.

Notable publications

Recursive filtering for two-dimensional systems with amplify-and-forward relays: Handling degraded measurements and dynamic biases 2024

Finite-Horizon H∞ State Estimation for Complex Networks With Uncertain Couplings and Packet Losses: Handling Amplify-and-Forward Relays 2023

Distributed Fusion Filtering for Nonlinear Time-Varying Systems Over Amplify-and-Forward Relay Networks: An H∞ Quantized Framework 2023 (1)

Recursive locally minimum-variance filtering for two-dimensional systems: When dynamic quantization effect meets random sensor failure 2023 (5)

Robust set-membership filtering for two-dimensional systems with sensor saturation under the Round-Robin protocol 2022 (33)