About
Hi I'm Mengyuan. I am currently a 3rd year student pursuing an MEng in Electronic and Information Engineering at Imperial College London. My academic focus lies in the fascinating fields of computer architecture, FPGA, and machine learning. Throughout my studies, I have developed a deep passion for scientific research, which has driven me to actively seek out research internships and continuously expand my knowledge in these areas. I am now actively seeking a Ph.D. position that will allow me to delve deeper into my areas of expertise.
Beyond my academic pursuits, I have a keen interest in immersing myself in different cultures. At the age of 15 when I left my home country to study in Singapore. Currently, I am taking my undergraduate education in the United Kingdom, which has exposed me to a diverse and vibrant academic environment. I will soon embark on an exchange program at ETH Zurich, where I will have the opportunity to further broaden my horizons.
Who am I?
- Birthday: 10 April 2000
- Phone: +44 7521 165341
- City: London, UK
- Hobbies: Violin, Reading, Musics
- Age: 23
- Email: mengyuan.yin20@imperial.ac.uk
- Status: Undergraduate
- Languages: English, Chinese, German
I like to pay attention to emerging technologies, particularly in the areas of chip designs and artificial intelligence (AI), and I am particularly drawn to the intersection of the two areas. I'm always eager to learn and stay up-to-date in these areas. Outside of technology, I enjoy a range of activities including swimming, playing the violin, indulging in musicals, and immersing myself in books during my free time.
Skills
During my study at the college and internship, I have grasped the following skills:
Resume
Education
MEng of Electronic and Information Engineering
Aug. 2020 - Present
Imperial College London, London, UK
- Average Score: 87.30% (2020/2021)
- Average Score: 82.86% (2021/2022)
- Earned the prestigious Head of Department's Prize as the top student in year (2020/2021).
- Listed as a Dean's List student for both academic years (2020/2021) and (2021/2022).
- Awarded the runner-up prize as part of the second team for the 2nd-year end-of-year group project (2021/2022).
- Awarded the top prize as part of the first team for the circuit simulator group project (2020/2021).
- Modules of interest:
- Computer Architecture
- Embedded System
- Machine Learning
- Deep Learning
Junior College
Dec. 2017 - Dec. 2019
National Junior College, Singapore
- Achieved grade A in Mathematics, Further Mathematics, Physics, and Economics.
- Served as the class chairperson in 2018.
- Participated and presented in Singapore Science and Engineering Fair in 2019.
- Received the silver prize in the Singapore Mathematics Olympiad 2018.
Secondary School
Dec. 2015 - Dec. 2017
CHIJ St. Nicholas Girls' School, Singapore
- Achieved grade A in all nine selected subjects.
- Served as the student conductor in the school's string orchestra society in 2017.
- Received the gold prize in the Singapore Junior Mathematics Olympiad 2016.
Professional Experience
Industrial Placement (Research Internship)
Apr. 2023 - Present
Institute of Computing Technology Chinese Academy of Sciences
Supervisor: Dr. Kan Shi
- Designed a hardware fuzzing system that verifies RISC-V processors exclusively on an FPGA by generating stimuli based on processor feedback.
- Implemented and deployed the fuzzing verification system on the Sidewinder-100 FPGA Zynq SoC, utilizing Xilinx's Zynq Ultrascale+ MPSoC (ZU19EG) as the core.
Undergraduate Research Opportunities Programme
Jun. 2022 - Sep. 2022
Imperial College, London, UK
Supervisor: Prof. Timothy Constandinou
- Analysed signals recorded by an IR-UWB radar system for human behavioural monitoring.
- Utilised different filtering techniques to extract human respirational signals from clutters and signals caused by the dynamic motions of a rotating rigid body such as a fan.
Research Internship
Jul. 2021 - Sep. 2021
Agency for Science, Technology and Research (A*STAR), Singapore
Supervisor: Dr. Yuan Gao
- Built a Long Short-Term Memory (LSTM) model to predict different types of heart conduction abnormalities.
- Tested the performance of the model for both floating-point and fixed-point data type, for the possible future implementation of the model on hardware.
Research Internship
Apr. 2018 - Dec. 2018
Agency for Science, Technology and Research (A*STAR), Singapore
Supervisor: Dr. Henry Goh
- Developed a method to use Lock-in Thermography to detect subsurface geometry in objects
