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.