2013.09-2019.01，上海交通大学，工学博士
2016.09-2017.08，新加坡国立大学，联培博士
2009.09-2013.06，上海交通大学，工学学士

1. 海洋装备环境感知与数据融合
2. 海洋装备状态感知与数模预报

【纵向课题】

1. 国家自然科学基金青年科学基金项目，基于多源数据融合的深水中微子望远镜水下定位方法研究 （负责）
2. 国家重点研发计划子课题，深海中微子潜标高精度定位技术研究 （负责）
3. 十四五重大科技基础设施研发专项课题，设施平台在极端海况下作业与生存性能评估分析（负责）
4. 海南省科技创新联合项目课题，近海试验场试验服务型无人船研制及应用（负责）
5. 浦东新区科技发展基金，基于人工智能广域视觉感知的波浪测量系统开发 （负责）
6. 上海市青年科技英才扬帆计划，基于视觉感知的单摄像头波浪场测量算法研究 （负责）
7. 海南省自然科学基金青年基金项目，基于强化学习和虚拟模型实验的无人机着艇算法研究 （负责）
8. 三亚崖州湾菁英人才科技专项，基于深度学习视觉的深远海极端波浪高速测量算法研究 （负责）
9. 集成攻关大平台课题，面向MASS自主航行系统的训练推演平台研制（负责）
10. 国家自然科学基金重点项目，深海平台极端海况模型实验环境识别与实型预报方法研究 （技术负责）

【横向课题】
1. 多项技术开发类课题，主要来自中远、中船、中海油等企业（负责）

【海洋装备环境感知与数据融合】
[1] Liu J, Wei H*, Tian X, et al. A simulation method for underwater acoustic positioning system of deep-sea neutrino telescope[J]. Ocean Engineering, 2026, 347: 124038. (SCI)
[2] Li D, Xiao L, Wei H*, et al. A Noncontact Technique for Wave Measurement Based on Thermal Stereography and Deep Learning[J]. IEEE Transactions on Instrumentation and Measurement, 2025. (SCI)
[3] Wei H, Xiao L*, Cheng Z, et al. Measuring near-field wave elevation with monocular vision using self-supervised learning techniques[J]. Mechanical Systems and Signal Processing, 2024, 208: 111086. (SCI)
[4] Yang Y, Wei H*, Fan D, et al. A new strategy optimisation method for underwater flapping foil propulsion based on Twin-Delayed Deep Deterministic and Gaussian process regression[J]. Ocean Engineering, 2024, 311: 118813 (SCI)
[5] Wei H, Xiao L*, Tian X, et al. A Hybrid Vision-based Method of Encountered Wave Field Measurement for Navigating Surface Vehicles[J]. IEEE Sensors Journal, 2023. (SCI)
[6] Li D, Xiao L, Wei H*, et al. Spatial-temporal measurement of waves in laboratory based on binocular stereo vision and image processing[J]. Coastal Engineering, 2022, 177: 104200. (SCI)
[7] Li D, Wei H*, Xiao L, et al. Stereo vision-based measurement of wave evolution around square column in laboratory[J]. Journal of Ocean Engineering and Science, 2023. (SCI)
[8] 甘兴旺, 魏汉迪*, 肖龙飞, 等. 基于视觉的船舶环境感知数据融合算法研究[J]. 中国造船, 2021. (EI)

【海洋装备状态感知与数模预报】
[1] Yang Y, Wei H*, Mao J, et al. A hybrid physics-informed gated recurrent unit model for coupled motion prediction in deep-sea mining systems[J]. Ocean Engineering, 2026, 343: 123472. (SCI)
[2] Li K, Xiao L, Wei H*, et al. A unified framework for enhancing inverse finite element method through strain pre-extrapolation and sensor placement optimization[J]. Mechanical Systems and Signal Processing, 2025, 234: 112836 (SCI)
[3] Li X, Wei H*, Xiao L, et al. Virtual model testing method for deepwater floating system[J]. Ocean Engineering, 2022, 266: 113041. (SCI)
[4] Wei H, Xiao L*, Liu M, et al. Vulnerability criterion of nonlinear coupled resonance for semi-submersible platform using classification algorithm[J]. Marine Structures, 2022, 83: 103183. (SCI)
[5] Wei H, Xiao L*, Liu M, Kou Y. Data-driven model and key features based on supervised learning for truncation design of mooring and riser system[J]. Ocean Engineering, 2021, 224: 108743. (SCI)
[6] Li X, Wei H*, Xiao L, et al. Study on the effects of mooring system stiffness on air gap response[J]. Ocean Engineering, 2021, 239: 109798. (SCI)
[7] Wei H, Xiao L*, Low Y M, et al. Effects of bracings and motion coupling on resonance features of semi-submersible platform under irregular wave conditions[J]. Journal of Fluids and Structures, 2020, 92: 102783. (SCI)
[8] Wei H, Xiao L*, Tian X, et al. Hybrid model testing using pre-offset and asymmetric truncation design for deepwater semi-submersible with highly compliant mooring system[J]. Journal of Marine Science and Technology, 2018, 23(3): 536-556. (SCI)
[9] Wei H, Xiao L*, Tian X, et al. Nonlinear coupling and instability of heave, roll and pitch motions of semi-submersibles with bracings[J]. Journal of Fluids and Structures, 2018, 83: 171-193. (SCI)
[10] Wei H, Xiao L*, Tian X, et al. Four-level screening method for multi-variable truncation design of deepwater mooring system[J]. Marine Structures, 2017, 51: 40-64. (SCI)

《海洋可再生能源》，授课对象：本科生