MEng Student in Electrical & Electronic Engineering
📍 London, United Kingdom📧
Education
University College London
Sept 2022 – Jun 2026
MEng (Integrated Master's) in Electrical and Electronic Engineering
GPA: 3.79/4.0, 4-year combined Bachelor's and Master's degree program
Relevant Courses: Digital Electronics, Electromagnetic Theory and Semiconductor Devices, Photonics and Communication Systems, Analog and Power Electronics
The University of Texas at Austin
Aug 2024 – May 2025
Undergraduate Exchange, Electrical and Computer Engineering
Spring Semester GPA: 3.5/4.0
Courses: Computer Architecture, Algorithms, Compilers, Digital Electronics, Data Science Lab
Research Experiences
Streaming Architecture Sparse 3D CNN Accelerator
May 2025 – Dec 2025
Advisor: Prof. Lizy K. John, The University of Texas at Austin
Implemented FPGA module in Vitis HLS, achieving 450 MHz synthesis frequency and validating pipeline
timing
Developed streaming hierarchical bitmap construction mechanism to enable efficient sparse voxel
filtering in 3D CNN workloads and reduce sparsity exploration overhead
Built a streaming pipeline with efficient on-chip buffer to support fast feature fetching
Compute-in-Memory Architecture for In-Sensor CNN Evaluation
May 2024 – Oct 2024
Advisor: Prof. Chao Li, Shanghai Jiao Tong University
Designed a digital mimicry circuit emulating an analog-domain crossbar memristor array
Implemented the design targeting the Xilinx Zynq-7000 FPGA development board
Simulated and evaluated its performance across multiple configurations and representative workloads
Embedded Acceleration Module for CNN Convolution
Jun 2023 – Oct 2023
Advisor: Prof. Tinghuan Chen, The Chinese University of Hong Kong (Shenzhen)
Contributed to FPGA IP design using the Winograd algorithm, focusing on reducing multiplications in
convolution operations
Implemented element-wise real-time multiplication in Chisel HDL and SystemVerilog
Proposed synchronization and pipelining scheme for global control signals
Project Experiences
Simulators for LC-3B Instruction Set Architecture (in C)
Sep 2024 – Dec 2024
Advisor: Prof. Yale N. Patt, The University of Texas at Austin
Built multiple LC-3B simulators at different abstraction levels (instruction-level,
microarchitecture-level, virtual-memory, cycle-accurate) to validate functionality
Augmented the LC-3B microarchitecture to support virtual memory with user/system space separation
Implemented an assembler that translates LC-3B assembly programs into binary with starting addresses
Publications
ISCA 26 Submission
Submitted to ISCA 26 (under review) · Under Review
Cheng Xu, Prof. Chao Li, Prof. Xiaofeng Hou, Chenhe Yuan, et al.
Working Paper on FPGA Accelerator
Intended submission to FCCM 26 · In Preparation
Chenhe Yuan, Ruihao Li, Prof. Lizy K. John, et al.