Prof. Wei Guan | Decision-making and Problem-solving | Best Researcher Award
Dalian Maritime University, China
Profile
Early Academic Pursuits ๐
Dr. Guan Wei embarked on his academic journey with a passion for transportation engineering and maritime studies. His early education laid the groundwork for his future endeavors, characterized by excellence and an unwavering commitment to understanding the complexities of marine navigation and communication. His academic milestones include advanced studies in navigation systems, communication technologies, and maritime management. The rigorous training and education he received during his formative years shaped his analytical capabilities and honed his expertise in intelligent vessel operations.
Professional Endeavors โ
As a professor at Dalian Maritime University, Dr. Guan Wei has played a pivotal role in the development and dissemination of knowledge in transportation engineering. His professional career spans teaching, research, and administrative leadership. Serving as the Deputy Director of the Communication and Navigation Teaching and Research Section at the College of Navigation, he has spearheaded initiatives aimed at advancing marine navigation technologies.
Dr. Guan’s expertise extends beyond academia. He serves as an external expert for integrating the BeiDou Message Service System into the Global Maritime Distress and Safety System (GMDSS), a critical step toward enhancing global maritime safety. His active participation in the formulation and revision of Chinese GMDSS evaluation standards further demonstrates his commitment to improving maritime communication frameworks.
Additionally, his association with the China Traffic Enterprise Management Association as a member of the Green and Intelligent Transportation Expert Group underscores his dedication to sustainable and innovative solutions in transportation.
Contributions and Research Focus ๐ฌ
Dr. Guan Weiโs research is anchored in cutting-edge advancements in intelligent vessel navigation, ship motion control, and artificial intelligence applications in maritime management. His innovative use of deep reinforcement learning to enhance navigation decision-making has set new benchmarks in the field. His work on ship communication and navigation aids has improved the accuracy and reliability of maritime operations, ensuring safer and more efficient sea transportation.
Over the years, Dr. Guan has authored more than 80 research papers published in prestigious journals. His articles delve into critical issues such as the integration of intelligent systems in marine navigation, predictive algorithms for vessel operation, and the application of neural networks in ship control systems. As a reviewer for renowned journals like IEEE Transactions on Intelligent Vehicles and Ocean Engineering, he actively contributes to maintaining the academic rigor of maritime research.
Accolades and Recognition ๐
Dr. Guanโs exceptional contributions have earned him several accolades. Recognized as a high-level talent by the city of Dalian, he has consistently demonstrated his expertise and leadership in the maritime sector. His active membership in the China Association for Promoting Democracy highlights his commitment to societal development through academic and professional excellence.
Beyond these honors, his inclusion as an external expert for the BeiDou Message Service System showcases the trust and respect he commands in the maritime community. These recognitions reflect his impact not only on the academic front but also on practical maritime advancements.
Impact and Influence ๐
Dr. Guanโs work has had a profound impact on the maritime industry, influencing both technological advancements and policy frameworks. His leadership in intelligent vessel operations and maritime management has helped shape the future of transportation engineering. His research findings have been instrumental in bridging the gap between theoretical concepts and practical applications, particularly in enhancing maritime safety and efficiency.
His role in advancing the BeiDou Navigation Satellite System exemplifies his influence on global maritime systems. The integration of this system into GMDSS has not only elevated China’s position in maritime technology but also contributed to global safety initiatives.
Legacy and Future Contributions ๐
Looking ahead, Dr. Guan Wei continues to focus on transformative technologies in transportation engineering. His current research on artificial intelligence applications in maritime operations aims to revolutionize the industry further. With a deep understanding of the challenges and opportunities in the maritime sector, he is poised to lead future innovations.
Dr. Guanโs legacy is one of relentless pursuit of knowledge, impactful research, and dedicated mentorship. As a Ph.D. and M.Sc. supervisor, he has nurtured countless students who now contribute to the maritime industry. His influence extends across academia and the professional world, leaving an indelible mark on transportation engineering and maritime technology.
In sum, Dr. Guan Weiโs career is a testament to the transformative power of dedication, innovation, and leadership. His continued efforts promise to shape the future of intelligent maritime operations, ensuring safety, efficiency, and sustainability for generations to come. ๐
๐Notable Publications
USV formation navigation decision-making through hybrid deep reinforcement learning using self-attention mechanism
Authors: Cui, Z.; Guan, W.; Zhang, X.
Journal: Expert Systems with Applications
Year: 2024
Autonomous collision avoidance decision-making method for USV based on ATL-TD3 algorithm
Authors: Cui, Z.; Guan, W.; Zhang, X.; Zhang, G.
Journal: Ocean Engineering
Year: 2024
Collision avoidance decision-making strategy for multiple USVs based on Deep Reinforcement Learning algorithm
Authors: Cui, Z.; Guan, W.; Zhang, X.
Journal: Ocean Engineering
Year: 2024
USV Collision Avoidance Decision-Making Based on the Improved PPO Algorithm in Restricted Waters
Authors: Hao, S.; Guan, W.; Cui, Z.; Lu, J.
Journal: Journal of Marine Science and Engineering
Year: 2024
Occupancy grid-based environment sensing for MASS in complex waters
Authors: Sun, S.; Guan, W.; Wang, Y.
Journal: Ocean Engineering
Year: 2024