Summary
Overview
Work History
Education
Skills
Project
Timeline
Generic

Xiaoyu Duan

London

Summary

Experienced in machine learning and IoT system modeling, with a proven ability to analyze and interpret diverse data sets effectively. Holds a strong foundation in communications engineering, adept at addressing complex engineering challenges and enhancing system functionalities. Demonstrates a solid understanding of AI fundamentals and familiarity with advanced global AI technologies. Known for excellent teamwork and communication skills, successfully collaborates with multicultural teams to drive technological advancements.

Overview

7
7
years of post-secondary education

Work History

Assistant Researcher

Shandong Micro-Nano Electronics
Dongying, China
05.2023 - 07.2023
  • Assisted in improving PCB boards, simulated and performed actual testing of products.
  • Attendance and recording of research meetings.
  • Translate English materials and summarise.

Education

A-Levels - Physics/Mathmatics/Further Mathematics

Shengli No. 1 High School
Dongying
09.2017 - 06.2020

Master of Engineering - Electronic and Electrical Engineering

University College London
London
09.2020 - 06.2024

Skills

  • Data analysis
  • Mathematical modelling of engineering problems
  • Machine learning modelling and applications
  • Advanced digital design
  • Python/C/Matlab/Arduino/Systemverilog
  • Analysing digital communication system problems
  • Designing IoT systems
  • Super-resolution processing of images and videos
  • Team leadership skills
  • Proficiency in reading English literature

Project

2020-2021

Tin-Can communication system

Audio signals were recorded and spectral analysis was performed using MATLAB to analyze the properties of natural acoustic resonance.


Real-time audio decoder

Record speech using the provided scrambling procedure and analyse the original and scrambled messages in Matlab in both the time and frequency domains. Determine the peripherals needed and configure them to complete the real-time decoder and do a presentation.


2021-2022 

How to Change the World project (HtCtW)

Collaborate with students from different departments of engineering at UCL and analyse real-life problems under the guidance of world-renowned engineers. Analyse air quality data from three cities, Nairobi, London and Delhi, consider stakeholders based on a pre-existing business case, apply engineering knowledge and business knowledge to model the problem and design a solution.


Timeline

Assistant Researcher

Shandong Micro-Nano Electronics
05.2023 - 07.2023

Master of Engineering - Electronic and Electrical Engineering

University College London
09.2020 - 06.2024

A-Levels - Physics/Mathmatics/Further Mathematics

Shengli No. 1 High School
09.2017 - 06.2020
Xiaoyu Duan