Mingyang Zhang

Postdoctoral Researcher
Postdoctoral Researcher
T212 Mechanical Engineering
Full researcher profile
https://research.aalto.fi/...

Yhteystiedot

Sähköposti
[email protected]
Puhelinnumero
+358504142248

Palkinnot

Best paper award of the 5th international conference on transportation information and safety

Palkinto tai huomionosoitus tuotoksesta Koulun palvelutoiminnot Jan 2019

Tutkimusryhmät

  • Meri- ja arktinen tekniikka, Tutkijatohtori

Julkaisut

An object-oriented Bayesian network model for the quantitative risk assessment of navigational accidents in ice-covered Arctic waters

Shanshan Fu, Yue Zhang, Mingyang Zhang, Bing Han, Zhongdai Wu 2023 Reliability Engineering and System Safety

An overview of scholarly literature on navigation hazards in Arctic shipping routes

B. Lin, Mao Zheng, Xiumin Chu, Wengang Mao, Daiyong Zhang, Mingyang Zhang 2023 Environmental Science and Pollution Research

A data mining method to extract traffic network for maritime transport management

Zhao Liu, Hairuo Gao, Mingyang Zhang, Ran Yan, Jingxian Liu 2023 OCEAN AND COASTAL MANAGEMENT

A Deep Learning Method for Ship Detection and Traffic Monitoring in an Offshore Wind Farm Area

Xintong Liu, Yutian Hu, Huiting Ji, Mingyang Zhang, Qing Yu 2023 Journal of Marine Science and Engineering

A quantitative method for the analysis of ship collision risk using AIS data

Zhao Liu, Boyuan Zhang, Mingyang Zhang, Helong Wang, Xiuju Fu 2023 Ocean Engineering

Data-driven framework for extracting global maritime shipping networks by machine learning

Lei Liu, Ryuichi Shibasaki, Yong Zhang, Naoki Kosuge, Mingyang Zhang, Yue Hu 2023 Ocean Engineering

A deep learning method for the prediction of 6-DoF ship motions in real conditions

Mingyang Zhang, Ghalib Taimuri, Jinfen Zhang, Spyros Hirdaris 2023 Proceedings of the Institution of Mechanical Engineers. Part M: Journal of Engineering for the Maritime Environment

A deep learning method for the prediction of focused waves in a wave flume

Mingyang Zhang, Sasan Tavakoli, Spyros Hirdaris 2023 Proceedings of the 12th International Workshop on Ship and Marine Hydrodynamics

A machine learning method for the prediction of ship motion trajectories in real operational conditions

Mingyang Zhang, Pentti Kujala, Mashrura Musharraf, Jinfen Zhang, Spyros Hirdaris 2023 Ocean Engineering

A machine learning method for the probablistic evaluation of ship grounding risk reflecting ship motion uncertainties

Mingyang Zhang, Pentti Kujala, Spyros Hirdaris 2023 Advances in the Collision and Grounding of Ships and Offshore Structures