Dr. Xiao Guo - Intelligent Control - Best Researcher Award

Beihang university - China

Author Profile

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

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.