Mingyang Zhang

Postdoctoral Researcher
Postdoctoral Researcher
T212 Mechanical Engineering
Postdoctoral Researcher
Department of Mechanical Engineering
Postdoctoral Researcher
Marine and Arctic Technology
Full researcher profile
https://research.aalto.fi/...

Yhteystiedot

Sähköposti
[email protected]
Postiosoite
Tietotie 1 02150 Espoo Finland
Puhelinnumero
+358504142248

Palkinnot

Highly Cited Paper Award

A predictive analytics method for maritime traffic flow complexity estimation in inland waterways
Award or honor granted for a specific work Department of Mechanical Engineering Nov 2022

Highly Cited Paper Award

Use of HFACS and fault tree model for collision risk factors analysis of icebreaker assistance in ice-covered waters
Award or honor granted for a specific work Department of Mechanical Engineering Nov 2021

Highly Cited Paper Award

A deep learning method for the prediction of 6-DoF ship motions in real conditions
Award or honor granted for a specific work Department of Mechanical Engineering Nov 2023

Highly Cited Paper Award

A machine learning method for the evaluation of ship grounding risk in real operational conditions
Award or honor granted for a specific work Department of Mechanical Engineering Nov 2023

Highly Cited Paper Award

A Big Data Analytics Method for the Evaluation of Ship - Ship Collision Risk reflecting Hydrometeorological Conditions
Award or honor granted for a specific work Department of Mechanical Engineering Nov 2023

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

Award or honor granted for a specific work School services, ENG Jan 2019

Tutkimusryhmät

  • Marine and Arctic Technology, Postdoctoral Researcher

Julkaisut

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

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

An interpretable knowledge-based decision support method for ship collision avoidance using AIS data

Jinfen Zhang, Jiongjiong Liu, Spyros Hirdaris, Mingyang Zhang, Wuliu Tian 2023 Reliability Engineering and System Safety

A probabilistic analytics method to identify striking ship of ship-buoy contact at coastal waters

Lei Liu, Mingyang Zhang, Yue Hu, Wei Zhu, Sheng Xu, Qing Yu 2022 Ocean Engineering

A machine learning method for the evaluation of ship grounding risk in real operational conditions

Mingyang Zhang, Pentti Kujala, Spyros Hirdaris 2022 Reliability Engineering and System Safety

A predictive analytics method for maritime traffic flow complexity estimation in inland waterways

Mingyang Zhang, Di Zhang, Shanshan Fu, Pentti Kujala, Spyros Hirdaris 2022 Reliability Engineering and System Safety

A Big Data Analytics Method for the Evaluation of Ship - Ship Collision Risk reflecting Hydrometeorological Conditions

Mingyang Zhang, Jakub Montewka, Teemu Manderbacka, Pentti Kujala, Spyros Hirdaris 2021 Reliability Engineering and System Safety

A method for the direct assessment of ship collision damage and flooding risk in real conditions

Mingyang Zhang, Fabien Conti, Herve Le Sourne, Dracos Vassalos, Pentti Kujala, Daniel Lindroth, Spyros Hirdaris 2021 Ocean Engineering

On the estimation of collision frequency and generation of collision scenarios from AIS big-data analysis

Mingyang Zhang, Fabien Conti, Herve Le Sourne, Dracos Vassalos, Pentti Kujala, Daniel Lindroth, Spyros Hirdaris 2021 Proceedings of the 1st International Conference on the Stability and Safety of Ships and Ocean Vehicles

Deep learning for autonomous ship-oriented small ship detection

Zhijun Chen, Depeng Chen, Yishi Zhang, Xiaozhao Cheng, Mingyang Zhang, Chaozhong Wu 2020 Safety Science

Analysis of the Grounding Avoidance Behavior of a Ro-Pax Ship in the Gulf of Finland using Big Data

Mingyang Zhang, Jakub Montewka, Teemu Manderbacka, Pentti Kujala, Spyros Hirdaris 2020 30th International Ocean and Polar Engineering Conference

A ship safe speed identifying method from risk perspectives in arctic waters

Chi Zhang, Di Zhang, Mingyang Zhang, Wei Cao, Wengang Mao 2020 Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019

Use of HFACS and fault tree model for collision risk factors analysis of icebreaker assistance in ice-covered waters

Mingyang Zhang, Di Zhang, Floris Goerlandt, Xinping Yan, Pentti Kujala 2019 Safety Science

Collision risk factors analysis model for icebreaker assistance in ice-covered waters

M. Y. Zhang, D. Zhang, X. P. Yan, F. Goerlandt, P. Kujala 2018 Marine Design XIII

Safety distance modeling for ship escort operations in Arctic ice-covered waters

Mingyang Zhang, Di Zhang, Shanshan Fu, Xinping Yan, Vadim Goncharov 2017 Ocean Engineering