Zhaochun Li | Intelligent Material Systems And Control | Best Researcher Award

Prof. Zhaochun Li | Intelligent Material Systems And Control | Best Researcher Award

Nanjing Forestry University | China

Dr. Li is a distinguished professor in the College of Mechanical and Electronic Engineering at Nanjing Forestry University, where she has built a strong reputation for her pioneering work in intelligent material systems and advanced control techniques. Her academic journey and professional achievements reflect a deep commitment to innovation in engineering research, particularly in areas that address critical challenges in mechanical performance and structural reliability. With a primary focus on intelligent material systems, Dr. Li has explored how these innovative materials can be effectively integrated into modern engineering applications to enhance efficiency and adaptability. A major part of her research is dedicated to passive and active vibration control, an area that plays a crucial role in ensuring stability, safety, and precision in a wide range of engineering systems. By advancing methods to mitigate vibrations, her work contributes to improving structural durability and performance in both industrial and technological contexts. Over the course of her career, Dr. Li has authored more than 60 peer-reviewed journal articles, providing valuable insights and shaping discourse within her field. Her scholarly contributions not only strengthen academic understanding but also open pathways for practical applications, positioning her as a respected leader and innovator in engineering research.

Profile: Orcid

Featured Publication

Hou, M., Xu, X., Ouyang, Q., & Li, Z. (2025, September 30). Research on model predictive control of magnetorheological impact buffer system considering driver modeling. Engineering Research Express.

Zheng, Z., Zhan, J., Li, Z., Wang, Y., Xu, C., & Wang, X. (2025, September 15). Data-driven twisted string actuation for lightweight and compliant anthropomorphic dexterous hands. Biomimetics.

Zheng, J., Xu, C., Li, Z., Gu, C., Li, X., Li, Z., Li, Y., Lou, G., & Chen, Y. (2024). Growing bimetallic CoNi-MOF derivatives between MXene layers with hierarchically coral-like interfaces for enhanced electromagnetic wave absorption. Journal of Materials Chemistry A.

Zheng, J., Zhao, J., Wang, L., Li, Z., Dong, W., & E, S. (2022, November). Optimal control for soft-landing in elevator emergency crash using multiple magnetorheological shock absorbers. Journal of Intelligent Material Systems and Structures.

Zhang, J., Li, Z., & Liu, X. (2021, November 8). Intelligent tea-picking system based on active computer vision and Internet of Things. Security and Communication Networks.

Prof. Dr. Kuangang Fan – Controlling of Unmanned Aerial Vehicle – Best Researcher Award

Prof. Dr. Kuangang Fan - Controlling of Unmanned Aerial Vehicle - Best Researcher Award

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 

  • 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

  • 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)

  • 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

  • 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

  • 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

Dr. Xiao Guo – Intelligent Control – Best Researcher Award

Dr. Xiao Guo - Intelligent Control - Best Researcher Award

Beihang university - China

Author Profile

SCOPUS

ORCID

GOOGLE SCHOLAR

Early academic pursuits 🎓

Xiao Guo's journey in the field of aerospace engineering began at beihang university, where he completed his bachelor's degree in aircraft design in 2009. his passion for advancing aircraft technology led him to pursue a ph.d. in the same field at beihang university, which he successfully completed in 2014. during his academic years, xiao developed a keen interest in unmanned aerial vehicles (uavs) and stratospheric airships, laying the groundwork for his future research innovations.

Professional endeavors 🚀

Following his ph.d., xiao guo continued his academic and research career at beihang university as a postdoctoral fellow from 2014 to 2018. he is now an associate professor at the institute of unmanned systems, where he focuses on cutting-edge technologies such as uav design, stratospheric airship development, and advanced path planning algorithms. his work in these areas not only contributes to academic knowledge but also has practical applications in industry.

Contributions and research focus 🔬

Xiao's research focuses on the design and operation of stratospheric airships and the application of reinforcement learning to complex aerospace problems. he has led significant projects funded by the ministry of education, focusing on enhancing the long-term operation of stratospheric airships. through deep reinforcement Intelligent Control learning, he has developed flight planning algorithms that consider complex environmental conditions and mission constraints. his contributions have been widely recognized in the aerospace field.

Accolades and recognition 🏅

xiao Guo’s research excellence is reflected in his impressive body of work. he has published 47 research papers, with 28 indexed by the science citation index (sci) and 19 by the engineering index (ei). his innovative work on airship design and long-term floating capacity maintenance has also earned him a us patent (us 12,116,102  b2). his research papers have been cited 225 times, Intelligent Control showcasing the impact and relevance of his contributions.

Impact and influence 🌍

Through his research, xiao guo has significantly advanced the understanding of stratospheric airships and unmanned systems. his contributions have practical Intelligent Control implications for industries focused on uav and airship technologies, particularly in the areas of flight planning and navigation in challenging environments. his ongoing projects continue to influence both academic research and real-world applications, bridging the gap between theoretical advancements and industrial needs.

Legacy and future contributions 🔮

Xiao Guo’s legacy in aerospace research is characterized by his innovative approach to solving complex problems in aircraft design and unmanned systems. as a member of professional bodies like ieee and aiaa, he actively contributes to the broader scientific community. with several ongoing projects and collaborations, including partnerships with prominent researchers like zewei zheng and jiace yuan, his future contributions will likely push the boundaries of aerospace innovation even further.

Notable Publications 

  • Title: Path planning of stratospheric airship in dynamic wind field based on deep reinforcement learning
    Authors: Zheng, B., Zhu, M., Guo, X., Ou, J., Yuan, J.
    Journal: Aerospace Science and Technology, 2024, 150, 109173
  • Title: Online Learning-Based Surrogate Modeling of Stratospheric Airship Solar Array Output Power
    Authors: Sun, K., Liu, S., Du, H., Liang, H., Guo, X.
    Journal: Aerospace, 2024, 11(3), 232
  • Title: Soft Actor-Critic Based Multi-drones Pursuit-Evasion Differential Game with Obstacles
    Authors: Zhao, C., Deng, Z., Guo, X.
    Journal: Lecture Notes in Electrical Engineering, 2024, 1203 LNEE, pp. 148–161
  • Title: Unsupervised Real Time and Early Anomalies Detection Method for Sewer Networks Systems
    Authors: Qiu, C., Shao, G., Zhang, Z., Guo, X., Guan, X.
    Journal: IEEE Access, 2024, 12, pp. 21698–21709
  • Title: Prescribed-time error-constrained moving path following control for a stratospheric airship with disturbances
    Authors: Sun, L., Sun, K., Guo, X., Yuan, J., Zhu, M.
    Journal: Acta Astronautica, 2023, 212, pp. 307–315

Prof Dr. Chunbin Qin – Intelligent Optimization Control – Best Researcher Award

Prof Dr. Chunbin Qin - Intelligent Optimization Control - Best Researcher Award

Henan University - China

Author Profile

ORCID

GOOGLE SCHOLAR 

Early academic pursuits 🎓

Chunbin Qin embarked on his academic journey at Henan University, where he earned a B.S. degree in applied mathematics in 2009. His passion for engineering and mathematics led him to Northeastern University in Shenyang, China, where he pursued advanced studies. In 2014, he completed his Ph.D. in power electronics and power transmission, laying a solid foundation for his future research and professional endeavors.

Professional endeavors 🏢

Currently, Dr. Qin serves as a Professor at Henan University, where he shares his expertise and passion for adaptive dynamic programming and reinforcement learning with his students. He is also an active member of the Adaptive Dynamic Programming and Reinforcement Learning Professional Committee of the Chinese Society of Automation. His role in academia not only highlights his dedication to education but also reflects his commitment to advancing knowledge in his field.

Contributions and research focus 🔍

Dr. Qin’s research interests lie in adaptive dynamic programming, optimal control, and reinforcement learning, particularly in their industrial applications. His Intelligent Optimization Control innovative approaches aim to enhance system performance and efficiency across various sectors. By integrating theoretical concepts with practical applications, he is at the forefront of bridging the gap between academia and industry, fostering advancements in automation and control systems.

Accolades and recognition 🏅

Dr. Qin’s contributions to the field have not gone unnoticed. In 2016, he was honored with the “Excellent Doctoral Dissertation Award” by the China Association for Intelligent Optimization Control Artificial Intelligence, recognizing his significant research efforts during his doctoral studies. This accolade underscores his commitment to excellence and innovation in his research pursuits.

Impact and influence 🌍

Through his research and teaching, Dr. Qin has made a substantial impact on both academia and industry. His work in adaptive dynamic programming and Intelligent Optimization Control reinforcement learning is shaping the future of intelligent control systems, influencing the development of smarter technologies. By equipping students with the skills and knowledge necessary to tackle complex challenges, he is nurturing the next generation of engineers and researchers.

Legacy and future contributions 🔮

As Dr. Chunbin Qin continues his journey in academia, his legacy is poised to grow. His ongoing research efforts will likely lead to further advancements in adaptive control systems and their applications across various industries. With a commitment to innovation and excellence, Dr. Qin is not only contributing to his field but also inspiring future generations to pursue their passions in science and engineering.

Notable Publications