Mingyang Zhang
Postdoctoral Researcher
Postdoctoral Researcher
T212 Department of Energy and Mechanical Engineering
Postdoctoral Researcher
Department of Energy and Mechanical Engineering
Postdoctoral Researcher
Marine and Arctic Technology
Full researcher profile
https://research.aalto.fi/...
Palkinnot
Best paper award of the Global Conference on Naval Architecture and Ocean Engineering 2024 (G-NAOE 2024)
An AI Model for the Prediction of Ship Motions and Fuel Consumption of a Kamsarmax Bulk Carrier
Award or honor granted for a specific work
Department of Energy and Mechanical Engineering
Nov 2024
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 Energy and 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 Energy and 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 Energy and 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 Energy and 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 Energy and 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 Ship Digital Twin for Safe and Sustainable Ship Operations
Spyros Hirdaris, Mingyang Zhang, Nikolaos Tsoulakos, Pentti Kujala
2024
State-of-the-Art Digital Twin Applications for Shipping Sector Decarbonization
A deep learning method for the prediction of ship fuel consumption in real operational conditions
Mingyang Zhang, Nikolaos Tsoulakos, Pentti Kujala, Spyros Hirdaris
2024
Engineering Applications of Artificial Intelligence
A machine learning method for the evaluation of probabilistic grounding risk reflecting ship motion uncertainties
Mingyang Zhang, Pentti Kujala, Spyros Hirdaris
2024
Advances in the Collision and Grounding of Ships and Offshore Structures - Proceedings of the 9th International Conference on Collision and Grounding of Ships and Offshore Structures, ICCGS 2023
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
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
Artificial intelligence based digital twin models to monitor ship safety and efficiency
Mingyang Zhang, Pentti Kujala
2023
A ship digital twin for safe and sustainable ship operations
Mingyang Zhang, Spyros Hirdaris, Nikolaos Tsoulakos
2023
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
Big Data Analytics Methods for Collision and Grounding Risk Analysis in Real Conditions: Framework, Evaluation, and Applications
Mingyang Zhang
2022
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 probabilistic model of human error assessment for autonomous cargo ships focusing on human–autonomy collaboration
Mingyang Zhang, Di Zhang, Houjie Yao, Kai Zhang
2020
Safety Science
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