Prof. Alberto Avolio, Macquarie Medical School, Macquarie University, Sydney, Australia  (IEEE Fellow)

Biography: Professor Alberto Avolio, BE, PhD (UNSW), FIAMBE, is Professor of Biomedical Engineering in The Australian School of Advanced Medicine at Macquarie University, Sydney, Australia. He has acquired international recognition in the field of cardiovascular haemodynamics. He has taught in the fields of cardiovascular dynamics and in the broad area of engineering in medicine and biology and has extensive experience in PhD supervision and in examination of local and international higher degree theses. Current research areas include pulsatile relationships between blood pressure and flow, characterization of pressure-dependent indices of vascular function, cellular and molecular mechanisms of arterial stiffness, pulse wave analysis and non-invasive estimation of central aortic pressure, retinal vascular function and non-invasive assessment of cerebral dynamics, cerebral aneurysms, cardiovascular modelling and biological signal processing. He has received over $7 million in collaborative research grant support and is on the assessment panel of national and international granting bodies. He is on the editorial board of journals of cardiovascular research and hypertension (Hypertension, Journal of Hypertension, Artery Research, Current Hypertension Reviews, Advanced Biomedical Engineering, Pulse) and is a reviewer for over 40 international scientific journals. He has over 170 publications including a book, book chapters and peer reviewed articles.
Professor Avolio is a Visiting Professor at the Tokyo Medical University and external assessor of Biomedical Engineering curriculum at the University of Malaya. He has recently been elected a Fellow of the International Academy of Medical and Biological Engineering.

Speech Title: TBD

Abstract: TBD

Prof. Habib Zaidi, Geneva University, Switzerland (IEEE Fellow)

Biography: Habib Zaidi is Chief physicist and head of the PET Instrumentation & Neuroimaging Laboratory at Geneva University Hospital and full Professor at the medical school of the University of Geneva. He is also a Professor at the University of Groningen (Netherlands), the University of Southern Denmark (Denmark) and Óbuda University (Hungary). His research is supported by the Swiss National Foundation, the European Commission, private foundations and industry (Total 11M+ US$) and centres on hybrid imaging instrumentation (PET/CT and PET/MRI), computational modelling and radiation dosimetry and deep learning. He was guest editor for 14 special issues of peer-reviewed journals and serves and serves as founding Editor-in-Chief (scientific) of the British Journal of Radiology (BJR)|Open, Deputy Editor for Medical Physics and is on the editorial board of leading journals in medical physics and medical imaging. He has been elevated to the grade of fellow of the IEEE, AIMBE, AAPM, IOMP, AAIA and the BIR. His academic accomplishments in the area of quantitative PET imaging have been well recognized by his peers since he is a recipient of many awards and distinctions among which the prestigious (100’000$) 2010 Kuwait Prize of Applied Sciences (known as the Middle Eastern Nobel Prize). Prof. Zaidi has been an invited speaker of over 250 keynote lectures and talks at an International level, has authored over 450+ peer-reviewed articles (h-index=81, >24’300+ citations) in prominent journals and is the editor of four textbooks.

Speech Title: TBD

Abstract: TBD

Prof. Lihua Li, Hangzhou Dianzi University, China

Biography: Lihua Li, male, Doctor, winner of the National Science Fund for Outstanding Young People, Member of Zhejiang Science and Technology Development Advisory Committee, member of Zhijiang Laboratory Academic Advisory Committee, member of IEEE TEMS Society Intelligent Medicine Digitization Technology Committee, Chairman designate of Image Information and Control Professional Committee of Chinese Biomedical Engineering Society, and deputy chairman of Medical Imaging Professional Committee of Chinese Graphic and Image Society. He worked for many years as an associate professor at the University of South Florida. He has published more than 200 high-level scientific research papers and foreign book chapters (chapters), including Nature sub-journal, and has been authorized more than 20 patents, of which two American patents have been adopted and industrialized by the company. In 2012, he won the Contribution Award of Chinese Overseas Chinese Community (Innovative talents).
Main research direction: Mainly engaged in artificial intelligence and its application in smart medical treatment, carrying out research and innovation around artificial intelligence, pattern recognition, image processing, machine learning methods and technologies, as well as applications in early disease detection, diagnosis and precision treatment.

Speech Title: TBD 

Abstract: TBD

Prof. Yifan Chen, University of Electronic Science and Technology of China, China

Biography: Dr. Yifan Chen is a Distinguished Professor at the School of Life Science and Technology, University of Electronic Science and Technology of China. He has held various academic and leadership positions in top-tier universities in China, New Zealand, UK, and Singapore. He is a Fellow of Engineering New Zealand, a Fellow of The Institution of Engineering and Technology, UK, and a Fellow of The European Alliance for Innovation. He is a Senior Editor/Associate Editor/Guest Editor for several cross-disciplinary journals such as IEEE TNB, TMBMC, JERM, OJAP, TAP, and JBHI, and the General Chair for ACM NanoCom 2025 and EAI BICT 2020, 2023, 2024, and 2025. His current research interests include in vivo computation where computing meets bio-sensing, molecular and biological communications where communicating meets bio-transporting, and electromagnetic biomedicine where RF sensing meets bio-imaging. His research has been supported by NSFC and MOST (China), MBIE and HRC (New Zealand), EPSRC (UK), FP7 and COST (European Union), etc., and received media coverage from IEEE Spectrum, IET, Engineering New Zealand, The New Zealand Herald, etc.   

Speech Title: Microwave Medical Imaging and Sensing for Disease Dagnosis and Health Monitoring

Abstract: Microwave medical imaging and sensing (MMIS) operating over the frequency range covering hundreds of megahertz to tens of gigahertz has the potential to provide proactive healthcare solutions to patients with acute (for early diagnosis) or chronic (for daily monitoring) medical conditions. This technology exploits the tissue dielectric properties for disease diagnosis by using quantitative or qualitative algorithms. The conventional medical imaging systems such as computerized tomography (CT), magnetic resonance imaging (MRI), magnetic resonance electrical properties tomography (MR-EPT), and ultrasound face different disadvantages including ionized radiation, difficulty in interpretation, high cost, and poor spatial resolution. MMIS offers an alternative solution to monitor in vivo abnormalities in a nonionizing, affordable, and lightweight manner, which facilitates the diagnosis of patients in homes, nursing homes, and ambulances. The advantages of MMIS include low health risk, low operational cost, lightweight implementation, and ease of use, given its perspective of miniaturization and integration into portable and handheld devices with networking capability. In this talk, we will discuss our works on MMIS for cancer detection, stroke detection, heart imaging, bone imaging, tracking of in-body drug-loaded nanorobots, etc.

The Keynot Speaker list above is continuously updated.