About Me

Since childhood, I’ve been fascinated by brain science. The recent rise of neural networks has given me confidence that humanity is now entering an era where brain research advances through both theory and practice. This inspired me to pursue BME. However, even at Beihang University (ranked A+ in BME discipline assessments), the outdated curriculum fails to meet my needs. Students chase postgraduate admissions by mindlessly mimicking high school study habits, while professors prioritize research over curriculum quality, resulting in a broad yet shallow course design. I believe mastering exam scores alone cannot equip me to explore my interests upon graduation.

To address this, I dedicate only two days before exams to coursework, allocating the rest of my time to self-directed exploration and joining top-tier lab projects. During my sophomore and junior years, I independently led a project from clinical observations, problem identification, innovation design, preliminary validation, grant applications, hospital coordination, experiment design, participant recruitment, data collection, to patent drafting, conference presentations, paper publication, and technology transfer. This process challenged me to continuously acquire new skills, achieving growth far beyond classroom learning.

Publications

A Personalized Multi-modal Hand Function Assessment and Rehabilitation Platform
Songjun Du, Yijin Li, Tao Liu
Beijing Natural Science Foundation QY24143
Funded, Oct 2024

A Mixed Reality-Based System for Upper Limb Motor Assessment in Stroke Patients with Reduced Cognitive Load
Songjun Du, Ying Dong, Xiaoyu Liu, Yubo Fan
Oral Presentation, 2025 China Biomedical Engineering Conference & Medical Innovation Summit
Accepted, 2025.5

An MR-Based Upper Limb Motor Assessment System for Stroke Patients with Reduced Cognitive Load
Songjun Du, Ying Dong, Xiaoyu Liu
Oral Presentation, International Conference on Intelligent Rehabilitation and Human Ergonomics
Accepted, 2025.4

An Optimization Strategy Allowing a Tactile Glove with Minimal Tactile Sensors for Soft Objects Identification
Min Tang, Xiaoyu Liu, …, Songjun Du, et al.
IEEE JBHI, Accepted, 10.1109/JBHI.2025.3576248 PDF

Awards

Special Prize (Top 0.5%), 33rd Fengru Cup Innovation Competition, 2023
First Prize (Top 1%), 9th National Biomedical Engineering Innovation Contest, 2024
Special Prize (Top 1%), 19th “Challenge Cup” National Innovation Program, 2024
Fengru Star of Innovation and Entrepreneurship, Beihang University, 2023
Innovation and Entrepreneurship Scholarship, Beihang University, 2024
First-Class Scholarship for Social Practice, Beihang University, 2024
Second Prize (Top 10%), 34rd Fengru Cup main Competition, 2024
First Prize (Top 2%), 35rd Fengru Cup main Competition, 2025

Patents

Invention Patent: Multi-modal Hand Function Rehabilitation System and Method CN 118787340 A
Public Disclosure, Jun 2024
Software Copyright: Personalized Multi-modal Hand Function Assessment Platform 2024SR0743523
Granted, May 2024
Invention Patent: A Thermal Imaging-Based Method for 3D Targeting in Orthopedic Shockwave Therapy
Under Review, Research-to-Practice Program

News

Mixed Reality-Based Upper Limb Assessment System

Jan 2025 – Present | First Author

• Developed a mixed reality system using Pico4 Ultra HMD for upper limb motor function assessment.
• Integrated eye tracking and inverse kinematics to minimize cognitive load in motion capture.
• Planned clinical validation at Beijing Geriatric Hospital.
• Target journal: Journal of NeuroEngineering and Rehabilitation (JNER).
  

Multi-modal Hand Function Assessment & Rehabilitation Platform

Sep 2023 – Present | First Author

• Designed a system integrating flex, IMU, and sEMG sensors with CNN-LSTM models for motor state evaluation.
• Developed a PyQt5 GUI and pneumatic glove controller.
• Secured invention patent and software copyright.
  

3D Targeting for Orthopedic Shockwave Therapy

Sep 2023 – Dec 2023 | Co-First Author

• Combined infrared thermography, YOLO detection, and depth mapping for accurate target area reconstruction in physiotherapy.
  

EEG-Based Cognitive Load Analysis in Flight Simulation

Feb 2024 – Present | Co-First Author

• Analyzed EEG signals from 18 pilots using band power and deep learning models (MLP, ADFCNN, Conformer) for cognitive state estimation.
• Preparing manuscript for IEEE BIBM.
  

Hybrid Wheeled-Legged Exoskeleton Design

Dec 2022 – May 2023 | Only Author

• Designed an exoskeleton integrating wheeled and legged locomotion, modeled in SolidWorks.
• Presented animated simulations; won top innovation prize at Fengru Cup.
  

Deep Learning and Biomechanics-Based Myopia Risk Model

Aug 2024 – Oct 2024 | Software Developer

• Developed a PyQt5 tool for myopia risk prediction using image segmentation, 3D modeling, and risk scoring.
• Received top award in the 19th “Challenge Cup” National Innovation Program.
  

Extracurricular

• Starting Player, School Football Team, School of Biomedical Engineering, Beihang University, 2022–2024
• President, BUAA Parkour Association (3-star rated student society, 2023–2025)
• Organizer, BUAA-Kingsoft Summer Practice Program, 2024 Recognized as Outstanding City-level Team
• Media Assistant, Career Development Center, Beihang University, 2024–2025 Responsibilities: Company liaison, interviews, video editing