Zhong Su

OverviewAI-generated summary

Zhong Su's research primarily focuses on the application of advanced machine learning techniques, particularly deep learning and neural networks, to solve complex problems in areas such as integrated navigation systems, target identification, and image processing. Su has investigated methods for improving the accuracy and real-time performance of navigation systems that combine Global Navigation Satellite Systems (GNSS) with Inertial Navigation Systems (INS), often incorporating deep learning for enhanced data fusion and state estimation. This work has included the development of algorithms for attitude propagation and the extraction of angular rates for high-speed objects.

Further research extends to image analysis for military applications, utilizing deep learning for the identification and segmentation of armor targets in composite imaging. Su has also explored visual simultaneous localization and mapping (SLAM) algorithms for indoor environments, specifically addressing challenges posed by crowd density. The researcher's work is characterized by a strong publication record, with 260 total publications and a significant citation count, reflecting a high-impact research profile. Su maintains an active research group and collaborates with other faculty members at the University of Arkansas for Medical Sciences.

Metrics

• h-index: 28
• Publications: 260
• Citations: 6,207