Bingqiang Liu
Papers
4
Total Citations
14
H-Index
2
About
Bingqiang Liu is a leading researcher in energy-efficient hardware acceleration for autonomous systems, with a focus on reconfigurable cryptographic accelerators and SLAM processors for IoT and mobile robotics. His work addresses the critical challenge of achieving high-performance, low-cost security and real-time localization in resource-constrained edge devices. Notably, his 2022 paper on a reconfigurable cryptographic accelerator for IoT security has garnered 9 citations, highlighting its impact on enabling secure communication for intelligent sensors and mobile robots. Liu has also pioneered energy-efficient, high-frame-rate EKF-SLAM accelerators, including a 2024 SoC design demonstrated live on a ZYNQ-7000 FPGA platform, achieving full acceleration for autonomous mobile robots. His recent 2025 work further advances this domain with a reconfigurable processor that balances energy efficiency and real-time performance. Additionally, Liu contributed to CNN-based feature extraction accelerators for visual SLAM, improving accuracy while minimizing hardware overhead. His innovations are pivotal for next-generation autonomous systems, offering scalable solutions for edge AI and robotics.
Research Focus
Key Achievements
Top Papers
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