Wei Zhang has a solid educational background in various fields related to computer science and technology. He earned his Bachelor’s degree in Ship Building from Harbin Engineering University in 2016, where his thesis focused on motion modeling and heading control of wave gliders. He pursued a postgraduate degree in Robot Technology from Harbin Engineering University, completing it in 2019 with a thesis on detection and tracking algorithms for surface targets based on unmanned surface vehicles. In July 2024, he completed his Doctor of Computer Science and Technology at Harbin Institute of Technology, with a thesis on medical image processing based on deep learning. He is currently an Assistant Professor of Computer Science and Technology at Harbin Institute of Technology.
Professional Experience
Wei Zhang’s professional experience is primarily academic, serving as a research fellow and now as an Assistant Professor at Harbin Institute of Technology. His work revolves around intelligent interfaces and human-computer interaction, particularly in the fields of medical image processing and object detection.
Research Interests
Wei Zhang’s research interests include medical image processing, object detection, object tracking, semantic segmentation methods, hardware platform development, and vision system construction. These interests align with cutting-edge areas in computer science, particularly in the application of artificial intelligence and deep learning in medical and autonomous systems.
Research Skills
Wei Zhang has developed a range of research skills throughout his academic and professional career. These include proficiency in deep learning, algorithm development, image processing, and system construction for medical and autonomous applications. His work on various research projects demonstrates his ability to apply these skills effectively in real-world scenarios.
Research Contributions
Wei Zhang has made significant contributions to his field through various research projects. These include developing a cerebral aneurysm rupture prediction algorithm based on hemodynamics, diagnosing benign and malignant pulmonary nodules using artificial intelligence, and creating survival prediction and treatment plan recommendation algorithms for lung cancer patients. His contributions extend to low-dose CT denoising technology and tracking methods for underactuated micro-UAVs.
Geographic Impact
Wei Zhang’s work has had a significant geographic impact, particularly in China. His research at Harbin Institute of Technology and collaboration with various national foundations and universities have contributed to advancements in medical imaging and autonomous vehicle technology in the region.
Collaborative Efforts
Wei Zhang has demonstrated strong collaborative efforts in his research projects. He has worked with various institutions and researchers to advance his studies. His collaborative projects include working with the National Natural Science Foundation of China and participating in special funds for central colleges and universities.
Applied Research
Wei Zhang’s applied research focuses on practical applications of his work in medical imaging and autonomous systems. His projects on cerebral aneurysm prediction, pulmonary nodule diagnosis, and survival prediction algorithms for lung cancer patients highlight his focus on developing real-world solutions using advanced technologies.
Specific Projects and Publications
Wei Zhang has been involved in numerous specific projects and has published extensively. Some of his notable publications include research on noise extraction and denoising in low-dose CT using deep learning frameworks, brain tumor segmentation using federated learning, and pulmonary nodule detection using 3D convolutional neural networks. His work has been published in prestigious journals such as IEEE Access and the International Journal of Imaging Systems and Technology.
Environmental Health, Vector Control, Parasitology and Infectious Diseases
While Wei Zhang’s primary focus has been on medical imaging and autonomous systems, his work indirectly contributes to environmental health by advancing technologies that can be used in various health-related applications. His research in medical image processing has the potential to improve diagnostics and treatment plans, thereby contributing to better health outcomes.
Awards and Recognition
Wei Zhang has received numerous awards and recognitions for his contributions to his field. These include the Second Prize of Feasibility at the OI China Underwater Robot Competition, the Innovative Third Prize at the same competition, and the Effective Return on Investment award at the Maritime RobotX Challenge in the USA. He has also received scholarships and recognition for his academic achievements and volunteer work.
Conclusion
In conclusion, Wei Zhang’s extensive educational background, professional experience, and research contributions make him a strong candidate for the Research for Excellence in Research award. His work in medical image processing, autonomous systems, and deep learning, along with his collaborative efforts and numerous awards, demonstrate his commitment to advancing his field and making a significant impact.
Publications Top Notes
- A object detection and tracking method for security in intelligence of unmanned surface vehicles
- Authors: W. Zhang, X. Gao, C. Yang, F. Jiang, Z. Chen
- Journal: Journal of Ambient Intelligence and Humanized Computing
- Pages: 1-13
- Citations: 23
- Year: 2022
- Research on unmanned surface vehicles environment perception based on the fusion of vision and lidar
- Authors: W. Zhang, F. Jiang, C.F. Yang, Z.P. Wang, T.J. Zhao
- Journal: IEEE Access
- Volume: 9
- Pages: 63107-63121
- Citations: 22
- Year: 2021
- Safety helmet wearing detection based on image processing and deep learning
- Authors: W. Zhang, C. Yang, F. Jiang, X. Gao, X. Zhang
- Conference: 2020 International Conference on Communications, Information System and …
- Citations: 19
- Year: 2020
- A review of research on light visual perception of unmanned surface vehicles
- Authors: W. Zhang, C. Yang, F. Jiang, X. Gao, K. Yang
- Journal: Journal of Physics: Conference Series
- Volume: 1606 (1)
- Article: 012022
- Citations: 5
- Year: 2020
- A water surface moving target detection based on information fusion using deep learning
- Authors: W. Zhang, C. Yang, F. Jiang, X. Gao, K. Yang
- Journal: Journal of Physics: Conference Series
- Volume: 1606 (1)
- Article: 012020
- Citations: 4
- Year: 2020
- 无人水面艇技术发展回顾与趋势分析 (Review and Trend Analysis of Unmanned Surface Vehicle Technology Development)
- Authors: 张伟, 廖煜雷, 姜峰, 赵铁军 (W. Zhang, Y.L. Liao, F. Jiang, T.J. Zhao)
- Journal: 无人系统技术 (Unmanned Systems Technology)
- Volume: 2 (6)
- Pages: 1-9
- Citations: 3
- Year: 2019
- Protecting the Ownership of Deep Learning Models with An End-to-End Watermarking Framework
- Authors: W. Zhang, W. Cui, F. Jiang, C. Yang, R. Li
- Conference: 2021 IEEE 20th International Conference on Trust, Security and Privacy in …
- Citations: 1
- Year: 2021
- Reducing Data Transmission Efficiency in Wireless Capsule Endoscopy through DL-CEndo Framework: Reconstructing Lossy Low-Resolution Luma Images and Improving Summarization
- Authors: A. Salmi, W. Zhang, F. Jiang
- Journal: Mobile Networks and Applications
- Pages: 1-17
- Citations: N/A
- Year: 2024
- A super-resolution method of combined color image with depth map based on deep learning
- Authors: W. Zhang, C. Yang, F. Jiang, X. Gao, K. Yang
- Conference: Proceedings of the 2020 International Conference on Cyberspace Innovation of …
- Citations: N/A
- Year: 2020
- 水面无人艇的非稳像运动目标检测与跟踪方法 (Unsteady Image Moving Target Detection and Tracking Method for Unmanned Surface Vessels)
- Author: 张伟 (W. Zhang)
- Institution: 哈尔滨工程大学 (Harbin Engineering University)
- Year: 2019