Ruiqi Ye

Ruiqi Ye is a Research Fellow at the Advanced Processor Technology group within the Department of Computer Science at the University of Manchester. Previously, they completed a PhD (2019-2024) and MSc (2018-2019) at the same institution, and a BEng in Software Engineering from Shandong University (2014-2018).

Education:

• PhD in Computer Science, University of Manchester, 2019-2024
• MSc in Advanced Computer Science, University of Manchester, 2018-2019
• BEng in Software Engineering, Shandong University, 2014-2018

Ye's research centers on hardware acceleration for visual Simultaneous Localization and Mapping (SLAM) systems using High-Level Synthesis (HLS) on embedded System-on-Chip platforms, with emphasis on data transfer optimization for sparse kernels. They maintain broad expertise in domain-specific acceleration, heterogeneous computing (GPU/FPGA), and performance optimization using C++, CUDA, OpenCL, and HLS C++.

Recent publications (2023-2024) demonstrate a clear trajectory toward efficient embedded robotics solutions, combining visual odometry acceleration with FPGA-based hardware design and radiation reliability analysis for MPSoC systems. Their work bridges computer vision, robotics, and hardware engineering disciplines.

Scientific awards: None documented in source materials.

Advising and grants: No student advising or grant management details provided in available records.

Labs and teams: Active in the Soteria JVMs project and Advanced Processor Technology (APT) group, with affiliation to the University of Manchester's Centre for Robotics and Artificial Intelligence.