Dr. Zhaozhen Jiang | Computer Science | Best Research Article Award
Assistant Researcher | Naval Submarine Academy | China
Dr. Zhaozhen Jiang is a distinguished researcher at the Navy Submarine Academy in Qingdao, China, specializing in intelligent systems, maritime navigation, and dynamic target search. His research focuses on the development of advanced path-planning algorithms and neural network–based optimization techniques for complex maritime environments. He has published extensively and collaborated widely with researchers across multiple disciplines, reflecting a strong commitment to interdisciplinary innovation. His recent work on GBNN-based maritime dynamic target search demonstrates a focus on enhancing operational decision-making and situational awareness in challenging naval contexts. Through his research, he aims to advance autonomous maritime systems and contribute to safer, more efficient naval operations, while fostering technological progress with meaningful societal impact.
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Featured Publications
Bearing-only motion analysis of target based on low-quality bearing-time recordings map
– IET Radar, Sonar & Navigation, 2023
Path planning method for mobile robot based on a hybrid algorithm
– Journal of Intelligent & Robotic Systems, 2023
Path planning method for maritime dynamic target search based on improved GBNN
– Complex & Intelligent Systems, 2025
Wavelet transform with virtual data and cluster annotation for MEMS inertial sensors signal denoising
– IEEE Sensors Journal, 2025
Image registration and change detection method based on wavelet transform and SURF algorithm
– Proceedings of SPIE, 2020
