Yiting Duan

Yiting Duan

Translational Research Institute (THRI) & School of Computer, Data and Mathematical Science (CDMS) @ Western Sydney University

Western Sydney University (Parramatta South)

Biography

I am a first-year PhD student at the Translational Research Institute (THRI) & School of Computer, Data and Mathematical Science (CDMS) at Western Sydney University. I completed my undergraduate studies at Beihang University (BUAA), earning a bachelor’s degree in reliability and systems engineering, as well as a double degree in economics. I then obtained my master’s degree in Mathematics from the University of Macau (UM), and I am currently pursuing a PhD in data science and epidemiology. My undergraduate thesis focused on evaluating small failure probabilities using the generalized polynomial chaos model (gPC), and my master’s thesis addressed the regime shift of high-frequency limit order book data using deep learning methods with a change-point detection module.

My research focuses on Electronic Health Records (EHR) Modeling, Manifold Learning and Machine Learning. My principle professor is Yi Guo, an expert in machine learning. My research interests broadly encompass the interdisciplinary fields of nonlinear dynamic systems, including reservior computing, chaotic attractor reconstruction and ODE discovery. I am also involved in manifold Learning, specifically dimensionality reduction, manifold clustering and kernel joint embedding, as well as Neural Spatial-Temporal Point Process (NSTPP). Additionally, I am currently a researcher at WentWest, an Australia Primary Health Network institute, where I focus on heterogeneity and multi-model EHR datasets. My previous publications have focused on solving partial differential equations with spatio-temporal varying parameters using Physics-Informed Neural Networks (PINNs) and on an online fast fault detection method.

If you want to work with me, don’t hesitate and feel free to contact me.

Download my resumé.

Interests
  • Manifold Learning
  • Electrical Health Records Modeling
  • Machine Learning
Education
  • Doctor of Philosophy, 2027 (Expectation)

    Western Sydney University

  • Msc in Mathematics, 2024

    University of Macau

  • BEng in Reliability and System Engineering, 2022

    Beihang University

  • Economy, 2022

    Beihang University

Skills

c
C/C++
python
Python

Scipy Numpy& Tensorflow

matlab
MATLAB
mysql
Mysql
spss
SPSS

Academic Experience

Public Economy & Computational Mathematics

 
 
 
 
 
Public Economic Policy Researcher
Apr 2019 – Jun 2020 Bei Jing

Responsibilities include:

  • As Prof Nie Chen’s(@BUAA) research assistant, utilized Python to conduct data crawling and cleaning, applied statistical experise to carry out data analysis with SPSS, drew statistical pictures of data and analysed data
  • Underwent systematic data analysis on Python, SPSS, Blockchain & Statistical and Scientific Packages such as Pandas & Matplotlib etc.

Professional Experiences

Orchestra leader & Intern Experiences

 
 
 
 
 
Investment Research Intern
Mar 2021 – Apr 2021 Beijing

Responsibilities include:

  • Carried out industry research on IT industry, collected relevant materials and data, analyzed the characteristics of low code platform, business model evolution, and market development trend;
  • Selected foreign cases like Appian and Outsystems, and domestic cases like Huawei, Jin Hyundai and Tianyang Technology, investigated the companies and products, sorted out their R&D history, gave investment suggestions, suggested potential risks, and completed a research report on the low-code platform;
  • Responsible for industry research in other fields of science and technology investment.
 
 
 
 
 
Software Test Engineer & Internship Team Leader
Jul 2020 – Aug 2020 Beijing

Responsibilities include:

  • Built automatic software testing platform and used penetration testing method to test mobile app software;
  • Carried out and finished research report about mobile phone resolution based on Srez neural network
 
 
 
 
 
Leader of Saxphone Group of Buaa Marching Band
Buaa Marching Band
Sep 2018 – Present Beijing

Responsibilities include:

  • Leader of Saxphone Group of BUAA Marching band and helped to organized more than ten theatrical performance in Beihang University
  • Responsible for communications with other group and schedule the daily training plan of members
  • Attend 2018 Beijing University Music Festival with BUAA Marching Band and finally won the gold medal in Nov.2018
  • Invited by the Royal Edinburgh Military Tatoo and became the first non-professional Orchestra Band and the Second Chinese Orchestra Band in the history to attend the 2019th Edinburgh Military Tattoo in Edinburgh
 
 
 
 
 
Member of Social Practice Team of Qiang Culture in Beichuan
Jan 2019 – Jan 2019 Wenchuan Sichuan

Responsibilities include:

  • Research construction and settlement work after 5-12 Wenchuan Earchquake
  • Communicated with local community and government and established Social Research basement of ZhenZhen & Wenchan Museum
  • Had an interview with an inheritance of Nonphysical Heritage Qiang and finally finished a research report

Awards

Music(Orchestra Band) & Academic Awards

First-class National Encouragement Scholarship
◼First-class National Encouragement Scholarship to award students with excellent academic
First-class Scholarship in the Academic Competition
◼Beihang University First-class Scholarship in the Academic Competition to Student with excellent performance in Adademic Competition
Second Prize in the Chinese Mathematics Competitions
◼Second Prize of Beijing Competition Aera in the Chinese Mathematics Competitions
First-class Literary and Art Scholarship
◼Beihang University First-class Literary and Art Scholarship to Student with excellent performance in Literary and Art Competition
Gold Medal in 2018 Beijing University Music Festival

◼Won the gold medal in 2018 Beijing University music festival with Beihang Marching Band Saxphone group

◼ No.2 autosaxphone in the Woodwind

◼ Played two classical songs Travelaer & FromAfar

See certificate

Recent Posts

Recent & Upcoming Seminars

Seminars hold by AIC academic team

Weekly Seminar on Advanced Linear Algebra
Seminar

Publication

Quickly discover relevant content by filtering publications.
(2025). Data-driven discovery of state-changes in underlying system from hidden change-points in partial differential equations with spatiotemporal varying coefficients. Journal of Computational and Applied Mathematics.

DOI

(2025). Machine learning for complex systems with abnormal pattern by exception maximization outlier detection. Chaos: An Interdisciplinary Journal of Nonlinear Science.

DOI

(2023). Constrained self-adaptive physics-informed neural networks with ResNet block-enhanced network architecture. Mathematics.

PDF DOI

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