Technical Symposia 3
Signal Processing in Biomedical Engineering
1. Symposium Chairs:
Dr. Xiaorong Ding, University of Electronic
Science and Technology of China, China
Dr. Samaneh Kouchaki, University of Surrey, UK
Assoc. Prof. Yang Yang, Shanghai Jiao Tong
University, China
Prof. Hanguang Xiao, Chongqing University of
Technology, China
2. Topics:
Potential topics of interest include but are not
limited to:
▪ Bioimaging and Its Signal Processing
▪ Biometrics & Authentification
▪ Biosignal Processing & Understanding
▪ Multimedia & Human-Computer Interaction
▪ Application of Wavelet Transforms in Biomedical
Engineering
▪ Brain-Computer Interfaces
▪ Signal Processing in Bioinformatics
▪ Medical imaging and image processing
▪ Feature Extraction for Biomedical Signals
▪ Application of Pattern Recognition in Clinical
Diagnosis
▪ Decision Support Systems in Clinical Applications
▪ Signal Processing for Biomedical & Cognitive
Science
3. Introduction of Symposium Chair
Dr. Xiaorong Ding,
University of Electronic Science and Technology of
China, China
Xiaorong Ding is currently an associate research
professor at the School of Life Science and
Technology, University of Electronic Science and
Technology of China (UESTC). Her research interests
lie in wearable health monitoring, biomedical signal
processing, and smart healthcare. She obtained her
PhD degree in Biomedical Engineering from Department
of Electronic Engineering at the Chinese University
of Hong Kong (CUHK) in 2016. Before she joined UESTC
in 2020, she did postdoc research at CUHK for one
year and then at University of Oxford for three
years, with research work on developing intelligent
systems that can monitor patient condition at home
and help patients manage long-term conditions. In
the field of this research, she has published more
than 60 academic papers in internationally and
domestically authoritative journals, along with
contributions to 2 book chapters. Additionally, she
has 16 invention patents and 1 technology transfer
agreement. She has led multiple research projects as
principal investigator, including those funded by
the National Natural Science Foundation of China.
She is associate editor for multiple international
journals including Biomedical Signal Processing and
Control, Springer Nature Computer Science, and
Frontiers in Medicine and Public Health, and the
secretary of IEEE Engineering in Medicine and
Biology Society (EMBS) Standard Association.
Dr. Samaneh Kouchaki,
University of Surrey, UK
Dr. Kouchaki is senior lecture at University of
Surrey and Honorary Senior Lecturer at Imperial
College London. She currently leading research and
teaching at the University of Surrey’s Centre for
Vision, Speech and Signal Processing (CVSSP), in
collaboration with the UK Dementia Research
Institute. She has extensive expertise in developing
digital biomarkers and applied machine learning to
analyse real healthcare data. She has a track record
of creating novel machine learning models for
various healthcare applications, including compact
language models and representation learning for
Electronic Healthcare Records, and transformer-based
and representation learning for in-home data.
Previously, she was a postdoctoral researcher at the
University of Oxford’s Institute of Biomedical
Engineering, where they served as senior ML
researcher for the Gates Foundation- and Wellcome
Trust-funded 100,000 Genomes Project for
Tuberculosis, predicting antibiotic resistance in
pathogens. Earlier, at the University of Manchester,
they contributed to the EU Horizon 2020 Virogenesis
project, applying signal/image processing and
unsupervised learning to DNA sequencing. They hold a
PhD in Computer Science from Surrey (2015),
developing multi-way source separation techniques
for biomedical signals. Their interdisciplinary work
bridges AI, genomics, and clinical translation.
Assoc. Prof. Yang Yang, Shanghai Jiao Tong University, China
Dr. Yang Yang is an Associate Professor specializing
in AI and signal processing for healthcare. With a
PhD in Engineering from Shanghai Jiao Tong
University (SJTU, 2013), her research focuses on
computational medicine, antimicrobial resistance
genomics, and AI-driven clinical decision support.
She has led multiple national/international projects
funded by the National Natural Science Foundation of
China, Wellcome Trust, and EU programs. Her work has
been published in NEJM, Lancet Digital Health, and
IEEE Transactions on Signal Processing (20+ SCI
papers, 2 patents), and contributed to WHO’s first
Catalog of Mutations in Mycobacterium tuberculosis.
She co-authored Machine Learning for Healthcare
Technologies and serves as reviewer for
Bioinformatics and JBHI. Previously, Dr. Yang was a
K.C. Wong Fellow at the University of Oxford
(2015–2017) and Senior Research Associate
(2018–2021), where she established the e-Health
Group at Oxford Suzhou Centre. She mentored 3
students to win the IEEE COVID-19 Drug Targeting
Challenge and supervised 2 Clarendon Scholars.
Earlier, she conducted postdoctoral research at
SJTU’s State Key Laboratory of Mechanical Systems
and held visiting positions at the University of
Cincinnati (2007–2008). She joined SJTU School of
Public Health in December 2021.
Prof. Hanguang Xiao,
Chongqing University of Technology, China
Hanguang Xiao is a Professor and Ph.D. supervisor
currently serving as the Vice Dean of the School of
Artificial Intelligence at Chongqing University of
Technology. His research focuses on multimodal large
models, embodied intelligent robots, image
processing and machine vision, and intelligent
medical signal and image diagnostics. As first
author/corresponding author, he has published over
90 academic papers in prestigious SCI journals
(including ESI highly-cited papers) and authored 2
academic monographs. He has led and participated in
more than 20 national and provincial research
projects, including multiple National Natural
Science Foundation of China grants. He holds 37
invention patents (with over 20 granted) and has
received honors including Chongqing University Young
and Middle-aged Backbone Teacher and inaugural
"Shiji Talent" at Chongqing University of
Technology.