Ahmed Kamaleldin

About

Ahmed Kamaleldin is a rising researcher in embedded systems and reconfigurable computing, with a focus on the intersection of hardware/software co-design and domain-specific acceleration. His work centers on developing modular, energy-efficient architectures for high-performance embedded computation, particularly for demanding applications like mobile robotics and the Internet of Things. Kamaleldin’s most cited paper, “Modular Memory System for RISC-V Based MPSoCs on Xilinx FPGAs” (2019, 10 citations), addresses a critical bottleneck in modern multi-processor systems-on-chip by proposing a scalable memory hierarchy for the open RISC-V ISA, enabling low-power, high-throughput processing on FPGA platforms. In a more recent contribution, “Hardware/Software Co-design of 2D THz SAR Imaging for FPGA-based Systems-on-Chip” (2022, 3 citations), he pioneers a novel embedded computing platform for terahertz synthetic aperture radar, targeting real-time, high-resolution environment mapping from unmanned aerial vehicles. This work showcases his ability to bridge algorithmic innovation with practical, low-power hardware implementation. Kamaleldin’s research is notable for its direct relevance to autonomous systems and edge computing, where efficient, customizable hardware is paramount. His contributions are helping to shape the next generation of intelligent, energy-aware embedded platforms.

Research Focus

Key Achievements

Top Papers

1. 1
   Modular Memory System for RISC-V Based MPSoCs on Xilinx FPGAs

   10 citations · 2019
2. 2
   Hardware/Software Co-design of 2D THz SAR Imaging for FPGA-based Systems-on-Chip

   3 citations · 2022

Key Collaborators

Contact & Links