SHING HIN, HUI
MK17, MILTON KEYNES, UNITED KINGDOM •-• -
LINKEDIN: https://www.linkedin.com/in/shing-hin-hui-85a72b82/ • GITHUB: https://github.com/shhui0306
PROFESSIONAL SUMMARY
Multilingual AI developer and researcher with a Master’s degree in Computer Science from National Taipei University. Speciali zed in
embedded systems, wearable technology, and biomedical signal processing. In 2024, co-authored an IEEE EMBC conference paper:
“Lightweight Neural-Network-Based Trajectory Estimation for Low-Cost IMUs,” using Temporal Convolutional Networks (TCN) to
model wearable sensor data. Fluent in English, Chinese, and Japanese. Experienced in Python, TensorFlow, web systems, and emb edded
device integration. Currently based in the UK and actively seeking opportunities in AI, machine learning, or software engineering fields.
Passionate about making AI useful in real-world healthcare and assistive technologies.
PUBLICATIONS
CONFERENCE PAPER
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
2024
Orlando, USA
Lightweight Neural-Network-Based Trajectory Estimation for Low-Cost Inertial Measurement Units (2024)
DOI: 10.1109/embc-
⬧ Develop model using Res2Net and temporal convolution network for trajectory estimation from inertial measurement unit data.
⬧ Proposed model with reduced size and adequate accuracy for easy implementation on mobile and embedded systems.
AWARDS
THIRD PLACE
International ICT Innovative Services Awards 2024
2024
Taipei, Taiwan
Long-Term Gait Balance Monitoring System for Terrain Tasks Based on Artificial Intelligence
⬧ Design embedded wearable device for gait balance monitoring when walking on different ground types.
Calculate Berg Balance Scale (BBS) scores from AI model and store in cloud server for long-time rehabilitation analysis.
EDUCATION
MASTERS IN COMPUTER SCIENCE & INFORMATION ENGINEERING
National Taipei University
2021 - 2025
New Taipei City, Taiwan
Fields: Embedded systems, Wearable devices, Biomedical Signal Processing, Portable Biomedical Electronic Systems
Thesis topic: Inertial Trajectory Estimation Using Low-cost Inertial Measurement Units Based on Edge Computing
⬧ Develop real-time inertial trajectory estimation wearable device for rehabilitation assessment, indoor navigation, and motion sensing
games applications.
⬧ Reduce reference time by 20% and mean-square error of 30% in compared to previous models.
BALCHOLOR OF ENGINEERING IN ELECTRONIC AND INFORMATION ENGINEERING
Hong Kong Polytechnic University
2013 - 2018
Hong Kong
Fields: Multimedia, Web systems, Embedded systems
Courses: Web Systems and Technologies, Integrated Project, Object-Oriented Design and Programming, Database System, Digital Signal
Processing, Image and Audio Processing
WORK HISTORY
PROJECT ASSISTANT
Hong Kong Polytechnic University
2021 - 2022
Hong Kong
⬧ Assist project development for the Department of Electronic and Information Engineering.
⬧ Develop software projects for educational purpose from implementing various frameworks.
CUSTOMER ENGINEER
2018 - 2019
Automated Systems (HK) Limited
Hong Kong
⬧ Provide computer solutions for various enterprises.
⬧ Communicate with business clients and troubleshoot hardware, software and networking problems in client office.
COMPUTER TECHNICIAN
2016 - 2017
Global Technology Integrator Limited
Hong Kong
⬧ Provide computer solutions and manage computer equipment to public libraries.
⬧ Troubleshoot hardware, software, networking problems and help for technical problems from library users.
DEVELOPMENT PROJECTS
PHP/SOCKET.IO – INTERACTIVE LEARNING GAME
2020 - 2021
⬧ Developed interactive socket engine with PHPSocket.io for real-time user communication.
⬧ Created an interactive Q&A game using the socket engine, enhancing user engagement.
⬧ Facilitated seamless user interaction, leading to improved communication efficiency.
⬧ Aligned technical solutions with user experience objectives, fostering a cohesive development process.
NODE.JS/MYSQL – MYSQL INSTANCE SERVER FOR EDUCATION
2021 - 2022
⬧ Designed MySQL instances in Node.js for education, enhancing query skills and data analysis.
⬧ Streamlined database management by enabling instance creation and deletion.
⬧ Facilitated query execution, improving data analysis and learning outcomes.
⬧ Implemented result comparison for queries, significantly boosting learning efficiency.
NODE.JS – VIDEO EXTRACTION SYSTEM FOR AI PROCESSING STREAMLINING
2021 - 2023
⬧ Designed and implemented a robust API for video extraction, streamlining AI processing and enhancing overall system efficiency.
⬧ Utilise FFmpeg API for precise image and audio extraction at set intervals.
⬧ Manage job queues effectively with Bee-Queue, ensuring timely processing.
⬧ Download and upload files from and to OneDrive via Microsoft Graph API, streamlining data storage.
SKILLS
Soft skills: Teamwork, Problem solving, Adaptability, Creativity
Programming languages: JavaScript, TypeScript, Python, C++, C#, Java, MATLAB, PHP,
Database management systems: MySQL, PostgreSQL, MongoDB, Redis
Libraries and frameworks: React, Node.js, TensorFlow, FFmpeg, Arduino, Raspberry Pi, Unity, Bootstrap, REST API
Hardware: Arduino, Raspberry Pi
Cloud services: AWS, Microsoft Azure
LANGUAGES
English (Native), Mandarin (Native), Cantonese (Native), Japanese (Proficient), Taiwanese (Novice).
