People

TIAN Yu
TIAN Yu / Professor

Email:tiany@sia.cn
Research Areas:

Marine robotics, embodied intelligence of marine robots, robotic marine sensing network, adaptive ocean observation, acoustic target tracking, machine learning


Honor and Awards

[1] 2023 Second Class Academic Award in Natural Science of Liaoning Province

[2] 2021 Liaoning Revitalization Talents Program

[3] 2021 Frontrunner 5000 Top Articles in Outstanding S&T Journal of China

[4] 2020 Outstanding Science and Technology Achievement Prize, Chinese Academy of Sciences


Publications

[1] Zhan W, Tian Y, Zheng F, Yu J, Integrated tracking and control frameworks for robotic multistatic sonar networks with IMM-BP and distributed MCTS, Control Engineering Practice, 2025

[2] Chen K, Chen Z, Yu J, Ren K, Jiao W, Chen K, Tian Y, Sun J, A hybrid data-driven and physical model-based approach for predicting the mechanical properties of cable-arrays in flexible cable dual-AUVs systems, Ocean Engineering, 2025

[3] Sang Q, Tian Y, Luo Y, Zhang F, Toward rapid and accurate ocean prediction: Integrating data-driven modelling with sensing data from a marine vehicle network, the 4th International Conference on Autonomous Unmanned Systems, 2024

[4] Du Y, Tian Y, Zhan W, Zheng F, Sang Q, Gao C, An autonomous control system for AUV acoustic target tracking, the 4th International Conference on Autonomous Unmanned Systems, 2024

[5] Wang D, Tian Y, Sun J, Hu T, Reducing vibration and noise in AUV propulsion systems: Optimizing power source design and experimental Evaluation, the 4th International Conference on Autonomous Unmanned Systems, 2024

[6] Zheng F, Tian Y, Zhan W, Yu J, Liu K, A Gaussian mixture multiple-model belief propagation filter for multisensor-multitarget tracking, Signal Processing, 2024

[7] Shuang X, Zhang J, Tian Y, Algorithms for improving the quality of underwater optical images: A comprehensive review, Signal Processing, 2024

[8] Ren K, Chen Z, Tian Y, Yu J, Li H, Tan Z, Numerical investigation on the effects of stingray flapping amplitudes and counts on self-burial performance, Ocean Engineering, 2024

[9] Qu Y, Sun J, Yu J, Tian Y, Dong H, Deep-learning-based source localization using a local 3-D acoustic intensity field in a sound-speed mismatched deep-ocean environment, IEEE Sensors Journal, 2024

[10] Chen K, Chen Z, Yu J, Ren K, Jiao W, Chen K, Tian Y, Sun J, Reduced-order modeling method for flexibly connected dual-AUV system, Ocean Engineering, 2024