Jiangxi University of Science and Technology - China
Author Profile
SCOPUS
🎓 Early academic pursuits
Kuangang Fan embarked on his academic journey in instrumentation science at jilin university, where he earned his b.s., m.s., and ph.d. degrees in june 2006, june 2008, and june 2011, respectively. his doctoral studies laid a strong foundation in signal processing, system identification, and control theory. his early focus on embedded systems and measurement technologies gradually evolved into specialized interests in power electronics and intelligent automation.
💼 Professional endeavors
Following the completion of his ph.d., fan undertook a postdoctoral fellowship at the prestigious state key laboratory of pattern recognition, chinese academy of sciences, from 2012 to 2014. he subsequently broadened his global academic exposure as a visiting scholar at peking university shenzhen graduate school (2015–2016) and the university of california, davis (2018–2019). currently, he is a professor in the school of electrical engineering and automation at jiangxi university of science and technology, china, where he actively leads both teaching and research initiatives in advanced control systems and power electronics.
🧠 Contributions and research focus
Professor fan’s prolific research contributions span blind channel estimation, source separation, adaptive control, and intelligent signal processing. a significant portion of his work centers Controlling of Unmanned Aerial Vehicle around anti-drone and drone control technologies, which demand high-precision algorithms and robust control frameworks. integrating his expertise in power electronics, he designs advanced drone propulsion and control circuits that enhance system reliability and efficiency in complex environments. his published works—over 100 refereed articles and book chapters—have become valuable resources in the fields of automation and electronic control.
🌍 Impact and influence
Fan’s influence in the academic and industrial sectors is substantial. his 70+ invention patents not only showcase innovation but also contribute to real-world applications in national defense, industrial automation, and civilian drone regulation. he became a member of ieee in 2020, enhancing his collaboration with global research communities. his cross-disciplinary applications of Controlling of Unmanned Aerial Vehicle power electronics in drone management systems have influenced policy and technology implementations in several institutions.
📚 Academic cites
His scholarly works are widely cited in journals and conferences focused on signal processing, robotics, and control engineering. many of his publications have become key references in studies related to unmanned aerial vehicles (uavs), power electronics, and adaptive systems. the depth and originality of his research have strengthened his reputation as a thought leader in the Controlling of Unmanned Aerial Vehicle automation research community.
🌱 Legacy and future contributions
Looking ahead, kuangang fan aims to further develop sustainable and autonomous control systems for drones and industrial robots using intelligent signal modeling and energy-efficient power electronics. he continues mentoring young scholars and fostering international academic exchanges to enrich innovation in automation and intelligent systems. his long-term vision includes advancing china’s presence in global automation research and setting new standards in precision control and uav defense technologies.
Notable Publications
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Title: A 3.45 GHz linear array antenna based on Wilkinson power divider structure
Author(s): Not specified in the provided text
Journal: AEU - International Journal of Electronics and Communications
Year: 2025
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Title: YOLOv7-SPD3: A Small Target Detection Algorithm for Multi-Rotor UAV Based on Improved YOLOv7
Author(s): Not specified in the provided text
Journal: Conference Paper (specific journal or conference not provided)
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Title: Magnetic levitation system control research based on improved linear active disturbance rejection
Author(s): Not specified in the provided text
Journal: Transactions of the Institute of Measurement and Control
Year: 2024
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Title: Density gradient-RRT: An improved rapidly exploring random tree algorithm for UAV path planning
Author(s): Not specified in the provided text
Journal: Expert Systems with Applications
Year: 2024
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Title: UAV identification based on improved YOLOv7 under foggy condition
Author(s): Not specified in the provided text
Journal: Signal, Image and Video Processing
Year: 2024