韩凤磊

My main research area is artificial intelligence technology, primarily engaged in underwater vehicle vision technology, intelligent navigation and path planning research, and intelligent ship design research. Centered around these research directions, I utilize various approaches such as theoretical analysis, mathematical modeling, numerical simulation, experimentation, and virtual simulation to conduct fundamental research.
I have published and had accepted over 20 academic papers in both domestic and international journals and conferences, including 'Ocean Engineering' and 'Applied Ocean Research', with 8 of them indexed in SCI. I have authored 2 monographs, applied for 8 invention patents, and obtained 4 software copyrights. As a principal investigator, I have led 6 projects, including 1 sub-project of a national key research and development program. Additionally, I have been involved in 3 high-tech ship projects under the Ministry of Industry and Information Technology as a technical lead.

2012.9-2016.3, Harbin Engineering University, Ship and Ocean Structure Design and Manufacturing, PhD;
2008.9-2010.7, Bauman Moscow State Technical University,Master's Degree;
2002.9-2006.6, Peking University, Theoretical and Applied Mechanics, Bachelor's Degree.

2020.5-Present,Harbin Engineering University,College of Shipbuilding Engineering, Associate Professor;
2010.7-Present,Harbin Engineering University, College of Shipbuilding Engineering, Assistant Researcher;
2006.7-2010.7,Harbin Engineering University,College of Shipbuilding Engineering, Teaching Assistant.

Application of Artificial Intelligence in Naval Architecture and Ocean Engineering;
Hydrodynamic Performance Prediction with Embedded Physical Information Neural Networks;
Underwater Vision Recognition and Localization based on Neural Networks;
Underwater Moving Object Tracking using Multi-Feature Self-Learning Approach;
Principles of Intelligent Ship Design Considering Multiscale Factors;
Research on Model Heterogeneous Data Fusion for Ship Design, Assessment, and Management.

1.Underwater Object Recognition and Precise Localization based on Convolutional Neural Networks
2.Research on Direct Computational Methods for Vibration Issues of Ultra Large Container Ships
3.Study on Structural Safety of Large Thin-Film Type LNG Ships under Ultra-Low Temperature Conditions
4.Wave Endurance Experiment Research on 26MMSCF CNG Transport Ship Model
5.Investigation of Vibration Intensity Calculation Methods for Large Container Ships using Finite Element Analysis

Participated Projects:
Development and Application of ROV Reproduction-Assisted Operation System based on Virtual Reality (VR) Technology (National Key Research and Development Program)

Obtained Master's Degree from Bauman Moscow State Technical University, 2007-2010;
Delivered a keynote presentation at the ISOPE International Conference in 2015.