Zhaoyi Zhang | Intelligent navigation of ships | Best Researcher Award

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Ā Dr. Zhaoyi Zhang | Intelligent navigation of ships| Best Researcher Award

Dr at Zhaoyi Zhang Dalian Maritime University, China.

Zhaoyi Zhang, Ph.D., is a dedicated researcher in Traffic Information Engineering and Control, currently affiliated with the Navigation College of Dalian Maritime University in China. His doctoral work focused on enhancing ship navigation positioning methods using INS/GNSS technology, supervised by Prof. Ying Li. Dr. Zhang’s expertise extends to collision risk identification and navigation strategy in open waters. As a visiting scholar at the University of Houston, Texas, he collaborated with Prof. Weihang Zhu. His research contributions are evident in numerous publications in prestigious journals like Ocean Engineering and Reliability Engineering & System Safety. Additionally, Dr. Zhang holds several invention patents related to maritime safety and transportation.

Profile

 

 

šŸ“šEducationĀ 

  • Ph.D. in Traffic Information Engineering and Control
    • Dalian Maritime University, Dalian, China
    • Sep 2020 ā€“ Jun 2024
    • Dissertation: Research on INS/GNSS-based Ship Navigation Positioning Enhancement Method
    • Advisor: Prof. Ying Li
  • Visiting Scholar, Department of Engineering Technology, College of Technology
    • University of Houston, Texas, USA
    • Jul 2022 ā€“ Jul 2023
    • Advisor: Prof. Weihang Zhu
  • M.S. in Traffic Information Engineering and Control
    • Dalian Maritime University, Dalian, China
    • Sep 2017 ā€“ Jun 2020
    • Thesis: Research on Collision Risk Identification and Navigation Strategy of Ships in Open Water
    • Advisor: Prof. Ying Li
  • B.S. in Nautical Science
    • Dalian Maritime University, Dalian, China
    • Sep 2013 ā€“ Jun 2017
    • Thesis: Demand Analysis for Education and Training on the M/V YUPENG under the E-Navigation Strategy
    • Advisor: Prof. Junzhong Bao

 

šŸ“ŠInvention Patents

Li, Y., Dong, S., Zhang, Z.Y., Liu, D.G. (2023). A Rapid Query System for Mid-Term Outlook Early Warning Information on Typhoon Generation, CN112528095B. Li, Y., Guo, Z.H., Zhang, Z.Y. (2024). A Container Array Carrier Platform Suitable for Sea-Air Intermodal Transport, CN115303646B.

Publications Top Notes šŸ“

  1. A new evacuation accessibility analysis approach based on spatial information
    • Authors: Z Liu, Y Li, Z Zhang, W Yu
    • Journal: Reliability Engineering & System Safety
    • Year: 2022
    • Volume: 222
    • Pages: 108395
    • Citations: 20
  3. Spatial topological analysis model of ship encounter space
    • Authors: Z Liu, Y Li, Z Zhang, W Yu
    • Journal: Ocean Engineering
    • Year: 2020
    • Volume: 202
    • Pages: 107171
    • Citations: 20
  5. Gaseous emissions from a seagoing ship under different operating conditions in the coastal region of China
    • Authors: C Bai, Y Li, B Liu, Z Zhang, P Wu
    • Journal: Atmosphere
    • Year: 2020
    • Volume: 11
    • Issue: 3
    • Pages: 305
    • Citations: 16
  7. An INS-aided MASS autonomous navigation algorithm considering virtual motion constraints and the leeway and drift angle
    • Authors: Z Zhang, Y Li, P Wu, Z Liu, J Xiao, W Zhu
    • Journal: Ocean Engineering
    • Year: 2023
    • Volume: 272
    • Pages: 113790
    • Citations: 8
  9. Spatial logical relationship analysis model of ship encounter space
    • Authors: Z Liu, Y Li, S Dong, Z Zhang
    • Journal: Ocean Engineering
    • Year: 2021
    • Volume: 239
    • Pages: 109912
    • Citations: 6
  11. Enhancing the reliability of shipborne INS/GNSS integrated navigation system during abnormal sampling periods using Bi-LSTM and robust CKF
    • Authors: Z Zhang, Y Li, Z Liu, S Wang, H Xing, W Zhu
    • Journal: Ocean Engineering
    • Year: 2023
    • Volume: 288
    • Pages: 115934
    • Citations: 4
  13. INS/GPS integrated navigation for unmanned ships based on EEMD noise reduction and SSA-ELM
    • Authors: J Xiao, Y Li, C Zhang, Z Zhang
    • Journal: Journal of Marine Science and Engineering
    • Year: 2022
    • Volume: 10
    • Issue: 11
    • Pages: 1733
    • Citations: 4
  15. Big data driven vessel trajectory prediction based on sparse multi-graph convolutional hybrid network with spatio-temporal awareness
    • Authors: S Wang, Y Li, Z Zhang, H Xing
    • Journal: Ocean Engineering
    • Year: 2023
    • Volume: 287
    • Pages: 115695
    • Citations: 3
  17. Vessel trajectory prediction based on spatio-temporal graph convolutional network for complex and crowded sea areas
    • Authors: S Wang, Y Li, H Xing, Z Zhang
    • Journal: Ocean Engineering
    • Year: 2024
    • Volume: 298
    • Pages: 117232
    • Citations: 2
  19. Spatial modeling and analysis based on spatial information of the ship encounters for intelligent navigation safety
    • Authors: Z Liu, Y Li, Z Zhang, W Yu, Y Du
    • Journal: Reliability Engineering & System Safety
    • Year: 2023
    • Volume: 238
    • Pages: 109489
    • Citations: 2

 

Mohammad Mohammadpour | Motion planning | Best Researcher Award

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Dr. Mohammad Mohammadpour | Motion planning| Best Researcher Award

Ā Dr. University of Quebec at Trois-RiviĆØres, Canada

šŸ‘©ā€šŸ”¬ Ph.D. in Mechanical Engineering with over eight years of specialized experience in R&D, contributing to cutting-edge projects at two renowned institutions.

 

Profile

Scopus

 

Education šŸŽ“

Ph.D. in Mechanical Engineering (Robotics), University of Quebec at Trois RiviĆØres, QC, Trois RiviĆØres, Canada; May 2019-Feb 2024Masterā€™s degree in Aerospace Engineering (Flight Dynamic & Control), Amirkabir University of Technology, Tehran, Iran; 2014Bachelor’s degree in Mechanical Engineering, Tehran, Iran; 2011

Skills šŸ› ļø

Programming Language: Python, C++Software: ROS, Gazebo, Rviz, MATLAB & Simulink Research: Navigation and Sensor Data Fusion Motion Planning (Guidance)Movement Sciences (Kinetic & Kinematic)Dynamic Modelling and Control Machine Learning and Deep Learning Obstacle Avoidance Applications: Autonomous Mobile Robots (simulation and experiment)Learning Frameworks: Scikit-learn, Keras, TensorFlow

Experience šŸš€ Robotics Engineer

Hydrogen Research Institute, University of Quebec at Trois RiviĆØres, Trois RiviĆØres, QC, Canada; 2019-2024Dynamic modeling, simulating, and analyzing robotsā€™ motion Implementing motion planning (guidance) algorithms on an Autonomous Mobile Robot and an Autonomous Forklift (simulation and experiment)Developing motion planning (guidance) algorithms using deep neural networks and the robotsā€™ kinetic models (simulation and experiment)Designing and implementing motion controllers (simulation and experiment). Research And Development Engineer Research Center of Amirkabir University of Technology, Tehran, Iran; 2015-2019Contributed to the Attitude Determination And Control System Executed MIL, SIL, PIL, and HIL simulation and testing Conducted operation and calibration tests of sensors Participated in dynamic modelling

Publications Top Notes šŸ“

i. Energy-efficient motion planning of an autonomous forklift using deep neural networks and kinetic model, Authors: M. Mohammadpour et al., 2023

 

ii. Energy-efficient Local Path Planning of a Self-Guided Vehicle by Considering the Load Position, Authors: Not provided, 2022

 

iii. An Investigation into the Energy-Efficient Motion of Autonomous Wheeled Mobile Robots, Authors: M. Mohammadpour et al., 2021