Haoran Wu

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About

Hi, my name is Haoran Wu, and I am currently a third-year student pursuing Electronic and Information Engineering at Imperial College London. I have a deep passion for exploring the intricate world of technology, particularly in the realms of Computer Architecture and FPGA. In the future, I am seriously considering to pursue a Ph.D. and further my research in these fields.

Hardware Engineer

I am currently pursuing a research-style internship focused on FPGA technology. As a result, I consider myself a hardware engineer specializing in this area.

  • Birthday: 4 Dec 2000
  • Website: https://github.com/GeorgeWu1204
  • Phone: +44 7529913387
  • City: London, UK
  • Age: 22
  • Degree: Master of Engineering
  • Email: haoran.wu20@imperial.ac.uk
  • Current Status: Internship

My interests extend beyond electronics and encompass mechanics and physics as well. One notable experience involved conducting a fatigue test on the bogie frame for high-speed railways, allowing me to delve into the practical application of mechanical engineering principles.

I also have a passion for sports. I find enjoyment in soccer and basketball, relishing the thrill of both playing and spectating these dynamic team sports. Furthermore, I am an avid fan of Formula One Racing, captivated by the blend of engineering excellence, speed, and strategy that defines the sport.

Skills

During my continuous study at the college and internship, I have mastered the following skills.

Verilog & SystemVerilog 80%
Python 70%
C/C++ 70%
Tensorflow & Pytorch 55%
Functional Programming (Chisel) 50%
FPGA tool (Vivado, Quartus) 60%
Computer Architecture 55%
Bash Script, Makefile, Tcl 50%

Resume

Education

MEng of Electronic and Information Engineering

2020 - Present

Imperial College London, London, UK

  • Dean's list (Top 10% in the department) 2020/2021
  • Dean's list (Top 10% in the department) 2021/2022
  • Prize for runnners up of second year group project (Second place in the department) 2021/2022
  • Module of Interest
    • Advanced Computer Architecture and Compiler
    • Machine Learning and Deep Learning
    • Digital System Design

Foundation Program

2019 - 2020

University College London, London, UK

  • Achieved average grades of 88/100
  • Graduated with distinction

High School Graduate

2016 - 2018

Shude High School, Chengdu, China

  • Achieved average grades of 90/100 for every courses
  • Graduated with distinction
  • Received National First Prize in Chinese Physics Competition in 2017.
  • Received Top 10% in American Physics Bowl Competition in 2018.
  • Received Second Prize in Sichuan Mathematic Competition in 2018.

Volunteering

Cleft Lip

June 2017

Ziyang, Sichuan, China

  • Assists Patient with Cleft Lip in Registering for Surgery

Professional Experience

Academic Research (Industrial Placement)

April 2023 - Present

Institute of Computing Technology Chinese Academy of Sciences

Supervisor: Dr. Kan Shi

  • Develop a hardware fuzzer implemented on FPGA to automatically generate stimuli to the RISC-V processor.
  • Develop a verification system executed fully on Xilinx Zynq SoC.

Academic Research (Undergraduate Research Opportunities Programme)

June 2022 - Sep 2022

Imperial College, London, UK

Supervisor: Dr. Davis James

  • Developed an object detection system with Binary Neural Networks based on FPGAs
  • Used Residual Binary Network and Tensorflow to train and convert the Yolo configuration into binary networks

Academic Research

June 2019 - July 2019 & July 2021 - Sep 2021

Southwest Jiaotong University State Key Laboratory of Traction Power, Chengdu, China

Supervisor: Prof. Pingbo Wu

  • Tested the relative displacement and interaction force of the High Temperature Superconducting Maglev and published a paper for this research.
  • Participated in fatigue experiments on bogie frame,coupler,damper of the bullet train.
  • Designed a lighter coupler with high modulus capacity using carbon fiber and patented for it.

Academic Research

June 2018 - July 2018

Laboratory of Tribology, Southwest Jiaotong University, China

Supervisor: Prof. Linmao Qian

  • Utilize Atomic Force Microscopy (AFM) for nanoscale investigation of the influence of adhesion on the maximum static friction force under different atmospheric pressure.