Biomedical Engineering Conference | AICBES2025 | Biomedical Systems | Amsterdam | Top Conferences in Biomedical Engineering

Prof. Ma. Teresa Arredondo

Universidad Politécnica de Madrid, Spain

Title: The impact of emerging technologies on the treatment of chronic diseases and the quality of life

María Teresa Arredondo Waldmeyer is Full Professor at the Bioengineering and Photonics Department of the Universidad Politécnica de Madrid (UPM) and, notably, the first woman to achieve that rank in Telecommunication Engineering at UPM. She founded the Life Supporting Technologies (LifeSTech) research group, which, since 1995, has driven innovation in digital technologies for health promotion, prevention, and care, fostering social inclusion and independence for individuals of all ages. This highly international team has promoted partnerships with leading research centers, academic institutions, and industry stakeholders, translating cutting-edge technologies into real world tools that improve well-being. Over the last three decades, Prof. Arredondo has served in numerous leadership and advisory roles. She was Director of the Vodafone-UPM Chair for Healthcare and e Inclusion (2002–2020), Coordinator of the Biomedical Engineering PhD Program at UPM (2016–2022), Director of Latin America Affairs at UPM (over a decade), and Advisor for the Spanish Government’s Women and Science Unit. She also served on the Advisory Council Cluster of Innovative Medicine at the Moncloa Campus of Excellence and on the board of the Fundisma Foundation. In recognition of her extensive contributions, she received UPM’s 2020 Research Award for her outstanding trajectory and scientific achievements. Prof. Arredondo has coordinated and participated in more than 90 funded projects, 80 of them European, on healthcare, demographic change, active aging, and well-being. Her work encompasses artificial intelligence, big data, and the Internet of Things to transform chronic disease management and optimize hospital processes. Under her guidance, LifeSTech is currently advancing key Horizon 2020, Horizon Europe, and EIT Health initiatives that integrate biomedical engineering, human factors, and social sciences for positive, measurable impacts on individuals and healthcare systems. She has mentored over 500 emerging professionals (especially women), supervised 26 doctoral dissertations, published more than 200 scientific papers, contributed over 500 conference communications, and continues to advise private companies and public healthcare institutions. She has served as Women in Engineering (WiE) co-chair at the IEEE-BHI conference, highlighting her longstanding commitment to promoting gender equity and inspiring new generations of professionals. Her dedication to teaching, research excellence, and mentorship has positioned her as a leading figure both at UPM and within the international biomedical engineering community.

Prof. Haider Butt

UAE

Title: 3D Printing of Multifunctional Contact Lenses for Ocular Health Management.

Prof. Haider Butt did his M. Phil. in Electrical Engineering from the University of Cambridge (UK) in 2008, followed by a PhD in 2012. He was selected as the Henslow Research Fellow by the Cambridge Philosophical Society, University of Cambridge, in October 2012. In 2013, he was appointed as a Lecturer of Nanotechnology at the School of Engineering, University of Birmingham (UK) and was promoted to Senior Lecturer in 2016. He joined Khalifa University as an Associate Professor in Mechanical Engineering in 2019 and was promoted to Full Professor in 2023. He is leading a Nanophotonic Research Laboratory with a particular focus on additive manufacturing of nanophotonic devices and smart contact lenses for sensing and color blindness-related applications.

Dr. Sarah M. Preum

Dartmouth College, USA

Title: Will be Updated soon

Sarah M. Preum is an Assistant Professor in the Computer Science Department at Dartmouth College. She is also an adjunct professor in Biomedical Data Science at the Geisel School of Medicine. She is also a Technical Associate Director at Dartmouth Center for Precision Health and Artificial Intelligence. Sarah develops novel machine learning techniques to enable and enhance computational health. She focuses on natural language processing, temporal modeling, and human-AI interaction to provide safe, personalized decision support for domain-specific digital health applications. To date, her research has resulted in 39 peer-reviewed conference and journal publications. She has published in premier computer science venues, including AAAI, EMNLP, ICWSM, CHI, IMWUT, JMIR, ICDE, PerCom, and ACM Computing Surveys. Sarah has received her Ph.D. in CS from the University of Virginia. Before joining Dartmouth, she was a postdoctoral research scholar in the School of Computer Science at Carnegie Mellon University. Sarah was one of the Rising Stars in EECS in 2020, an international cohort of future female faculties in EECS who demonstrate academic excellence and commitment to advancing equity and inclusion. In addition, she is a recipient of the UVA Graduate Commonwealth Fellowship, the Adobe Research Scholarship, the NSF Smart and Connected Health Student Award, and the UVA Big Data Fellowship. She also serves as an associate editor in ACM Health.

Prof. Chia-Hung Chen

City University of Hong Kong, Hong Kong

Title: Fluidic Multi-Compartmental Protocells for Biomedical Catalysis

Prof. Chia-Hung Chen is a leading expert in soft systems and microfluidic technologies, recognized as one of the top 2% of scholars by Stanford University. His research spans cell-inspired cascade catalysis, smart hydrogels, and single-cell micro/nano-technologies for the functional analysis of cellular heterogeneity in human health and disease. His goal is to develop innovative tools that transform diagnostic and therapeutic strategies for complex human diseases—such as cancer, infectious diseases, and autoimmune disorders—ultimately advancing precision medicine.

Prof. Lipo Wang

Nanyang Technological University, Singapore

Title: Progress in Deep Learning for Medical Image and EEG Classification

Prof. Lipo Wang received the bachelor’s degree from National University of Defense Technology (China) and PhD from Louisiana State University (USA). He is presently with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interest is artificial intelligence for image and data processing. He has 400+ publications, 2 patents and 14,000+ Google Scholar citations. He was keynote speaker for 40+ international conferences. He is an Editor-in-Chief of International Journal of Computational Intelligence and Applications, Senior Editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems, and Associate Editor of IEEE Transactions on Neural Networks and Learning Systems. He is/was Associate Editor/Editorial Board Member of 30+ international journals, including 2 other IEEE Transactions, and guest editor for 10+ journal special issues. He was a member of the Board of Governors of the International Neural Network Society, IEEE Computational Intelligence Society (CIS), and the IEEE Biometrics Council. He served as CIS Vice President for Technical Activities and Chair of Emergent Technologies Technical Committee, as well as Chair of Education Committee of the IEEE Engineering in Medicine and Biology Society (EMBS). He was President of the Asia-Pacific Neural Network Assembly (APNNA, renamed as APNNS – “Society”) and received the APNNA Excellent Service Award. He was founding Chair of both the EMBS Singapore Chapter and CIS Singapore Chapter.

Prof. Lizhen Wang

China

Title: Will update soon.

Lizhen Wang is a Professor in School of Biological Science and Medical Engineering, Director of Medical Engineering &Engineering Medicine Innovation Center, Hangzhou International Innovation Institute, Beihang University. She is the Chair of World Association for Chinese Biomedical Engineers (WACBE) Young Committee, Member of Asia-Pacific Association of Biomechanics, Associate Editor of Computer Methods in Biomechanics and Biomedical Engineering (CMBBE).

Prof. Zhendong Dai

Nanjing University of Aeronautics and Astronautics, China

Title: Early detection of Parkinson's disease based on the characteristics of six-dimensional ground reaction forces

Dr. Zhendong Dai is Professor, director and founder of the Institute of Bio-inspired Structure and Surface Engineering (IBSS) at Nanjing University of Aeronautics and Astronautics (NUAA).

His researches include theory of tribo-irreversible thermodynamics, biomimetics on gecko locomotion—from animal motion regulation, locomotion dynamics, adhesive materials to gecko-inspired robot. he is board member of various journals, stand member of various academic societies. He has charged number of important projects, including 3 NSFC key projects and 3 key international collaboration projects. He has authored 6 books and more than 400 peer reviewed papers.

Prof. Thomas Chang

Canada

Title: Artificial Cells: Innovations and frontiers in Biomedical Engineering

Academic positions Promoted at 3-year intervals from assistant professor to associate professor to full professor of the departments of Physiology, Medicine and Biomedical Engineering, Faculty of Medicine & Health Sciences, McGill University, Montreal, Quebec, Canada McGill onlu allows full professors to have a limited amount of time for activities outside the university. I requested to be appointed emeritus professor so that I can fulfill the following activities: Director, Artificial Cells & Organs Research Centre, an international centre www.medicine.mcgill.ca/centrechart.pdf Elected Honorary President and coordinator, Artificial Cells, Blood Substitutes & Biotechnology (an international network) www.medicine.mcgill.ca/ISAB.pdf Editor in Chief 1980-2020, Emeritus Editor 2020- Artificial Cells, Nanomedicine & Biotechnology, an international Journal, (Taylor and Frances Publisher) Editor in Chief 2006- Book series on Regenerative Medicine, Artificial Cells & Nanomedicine, World Science Publisher/Imperial College Press, Editor in Chief 2024 International Journal Cell/tissue Engineering, Artificial Cell & Regenerative Medicine Director, " Father of Artificial Cell TMS Chang Academician Specialist Research Station" First Hospital of the Shantou University Medical School.(Shantou is my home town. Honorary Professor, Peking Union Medical College, Chinese Academy of Medical Sciences, China Honorary Professor and chief consultant, Blood Transfusion Institute, Chinese Academy Medical Sciences, China Honorary Professor, Nankai University Publications www.medicine.mcgill.ca/changPub.pdf He has published more than 586 full papers and chapters More than 500 invited lectures and plenary lectures 30 books and special issues

Prof. Shang-Ming Zhou

University of Plymouth, UK

Title: Explainable Artificial Intelligence in Health Data Analytics: Perspectives of System Modelling and Feature Engineering.

Dr. Shang-Ming Zhou is a distinguished Professor of eHealth at the University of Plymouth, UK, where he serves as the Deputy Director of the Centre for Health Technology in the Faculty of Health: Medicine, Dentistry and Human Sciences. Dr. Zhou's work focuses on AI-driven personalized medicine, health informatics, health data science, disease phenotyping, risk stratification, polypharmacy, multimorbidity, and public health research. He leads different projects, advancing AI and machine learning for patient-centric innovations.

Dr. Zhou earned a Ph.D. in Computer Science from the University of Essex in 2006, where his research on machine learning and intelligent data analysis for interpretable data-driven neuro-fuzzy system modelling received high commendation. His PhD research addressed the challenges of Explainability and Transparency of machine learning systems. Now explainable AI (XAI) and machine learning is becoming a hot research topic.

His academic journey also includes an MSc in Applied Mathematics with a specialization in artificial intelligence from Beijing Normal University, China, and a BSc in Mathematics and Education from Liaocheng University, China, all marked with exceptional distinctions.

Over the course of his career, Dr. Zhou has held roles at prestigious institutions, including Chinese Academy of Sciences, Swansea University and the University of Strathclyde. His research has been instrumental in developing cutting-edge AI methods for health risk stratification, multimorbidity analysis, and predictive analytics, supported by substantial grants from international funding bodies such as the EPSRC, MRC. His research on integrating information from multiple sources through advanced methods of type-1 and type-2 OWA operators has paved the way for data integration and aggregation under uncertain environments.

With over 150 peer-reviewed publications, Dr. Zhou is a recognized authority in his field, contributing to editorial boards, technical committees, and academic leadership. Dr. Zhou has received multiple accolades, including: Best Paper Award (Springer Nature) at the International Conference on Frontiers of Intelligent Computing: Theory and Applications; Best Poster Prize at the Royal College of Physicians Annual Conference; Outstanding Academic Service Award (IFIP-WG8.9); Outstanding Reviewer Awards from various journals.

He actively fosters interdisciplinary research in AI and healthcare. His collaborations span academia, industry, and healthcare systems, reflecting his commitment to translating research into impactful clinical and public health solutions.

In addition to his academic achievements, Dr. Zhou is deeply involved in professional organizations like the IEEE and serves on healthcare advisory boards, driving innovation at the intersection of technology and medicine.

Prof. Hassan Zahouani

Ecole Centrale de Lyon, France

Title: Effect of residual tension forces on the wavelength anisometry of 2D imaging of health and pathological human skin.

Hassan Zahouani is a Professor at Ecole Centrale de Lyon since 1991 (Exceptional Class 1 & 2). He is Associate Professor at the University of Halmstad (Sweeden) and President of the Francophone Society of Engineering and of Skin Imaging. In 2022 and 2023 he was ranked by the American University Stanford as one of the 160,000 most cited researchers in the world. In 2023 he was designated as a Fellow of the Carnot Institute in Lyon, for the expertise acquired worldwide in the mechanics and imaging of living tissues. In 2024, Pr H. Zahouani was named a Top Scholar by Sholar GPS. ScholarGPS recognizes Top Scholar for their outstanding performance in various field, Disciplines, and Specialties. The strong publication record of Professor H. Zahouani, the impact of his work and the notable quality of his scholarly contributions placed Professor Hassan Zahouani in the top of 0.5% of all scholars worldwide.

His research work within the Laboratory of Tribology and Dynamics of Systems concerns the mechanics and imaging of living tissues, bio-printed skin, effect of mechanical stimulation of skin in vitro and in vivo, mecano-transduction of living tissue, skin aging, skin natural tension, , and tactile perception.

The development of the concept of multi-scale characterization of skin surface by Fourier Transform and continuous wavelets has been the subject of several publications and international conferences. Since 2000, he has initiated an innovative axis of research concerning bioengineering and multi-scale imaging of living tissues. The scientific challenge in the issue of living organisms is to understand the major mechanical role of fascia, which is the fibrillar membrane supporting all living tissues. This connective tissue is considered today as one of the most important and complex sensory organs of the human body. The creation of the Bioengineering and Perception platform within the LTDS has been at the origin of several innovations and patents for the objectification of viscoelastic palpation (UnderSkin©) of skin pathologies and touch by the TouchyFinger© device. This activity has initiated many industrial and academic collaborations in France and internationally.

The development of multi-scale imaging for the analysis and quantification of biophysical markers of tissue sublayers, has been the subject of the development of new multi-scale approaches for the diagnosis and quantification of descriptors of internal tension forces of the different layers of living tissue (LC-OCT tomography, two-photon confocal microscopy, high resolution ultrasound, etc.), It was the birth of digital palpation.

Particular attention has been paid to the superficial fascia that envelops the living tissue. Fascia is the fundamental connective tissue in human life (80th Organ of our Body), it is a fibro-elastic membrane that envelops the entire human anatomical structure. It is now accepted that our body is a fibrillar network from the surface of the skin to the depths of the bone and the cells. Everything is linked by a fibrillar organization whose diameter is extremely variable but continuous in the sense of the mechanics of continuums. Fascia wraps the skin, muscles, nerves, bones, blood vessels, lymphatic system, arteries, spinal cord, brain and organs. Hereditary diseases of the connective tissue or collagenopathies group together diseases by mutation of one of the genes encoding collagen. The main manifestations are abnormalities in the bones, joints, skin, vessels, waist or face. The fascia defined as supporting tissue is probably the source of the natural tension forces of all our human tissues. For skin tissue, the effect of the tension forces of the connective tissue fibrillar network, is visible on the skin surface topography as a network of tension forces from head to foot.

Prof. Vi Khanh Truong

Khalifa University, Abu Dhabi, UAE

Title: Nanostructured Breakthroughs: Paving the Path for Next-Generation Biomedical Devices and Antimicrobial Resistance Mitigation

Dr. Vi Khanh Truong is currently an Associate Professor and Head of NanoBioLab at the Department of Biomedical Engineering and Biotechnology, Khalifa University, where he leverages his expertise in Biomedical Nanoengineering and Nanobiotechnology. He completed his PhD in Nanobiotechnology in 2012 at Swinburne University of Technology. His academic journey includes prestigious fellowships such as the BASF Industrial Postdoctoral Fellowship, CNRS Fellowship, RMIT Vice-Chancellor's Fellowship, and Fulbright Fellowship. Dr. Truong's research focuses intensively on designing multifunctional nanomaterials to enhance the performance of biomedical devices. These materials are specifically engineered to address the escalating risk of device-related infections. His research findings have been published in high-impact journals, including Nature Materials, Nature Communications, Advanced Materials, ACS Nano, and PNAS. With over 170 publications and more than 10,000 citations—an average of over 80 citations per paper—Dr. Truong's contributions are widely recognized, as reflected by his current H-index of 50. In addition to his impactful contributions to the biomedical field, Dr. Truong has applied his expertise to tackle pressing issues in agriculture, food security, and environmental sustainability. His work includes developing agricultural hydrogels and soil-wetting agents with BASF, which address challenges such as drought mitigation and soil degradation. Furthermore, his innovations in nanotechnology have been extended to enhance food preservation techniques and environmental protection strategies, highlighting his commitment to multidisciplinary solutions for global challenges. Dr. Truong holds six patents and has recently filed two additional patents in the areas of immune modulation and anti-infection. His work has led to real-world solutions, including advanced antimicrobial products used in surgeries and hospitals, developed in collaboration with industry leaders such as Global Orthopaedics (now part of Corin Group) and ANISOP Holdings. In addition to his research and industrial engagements, Dr. Truong currently serves as the teaching coordinator, responsible for designing new course topics related to Biomedical Engineering and Biotechnology. His role emphasizes bridging the gap between research and education, aiming to integrate the research-teaching nexus directly into students' learning experiences.

Prof. Vasily Moshnyaga

Fukuoka University, Japan

Title: Artificial Intelligence in Dementia Caregiving: Challenges and Solutions

Vasily Moshnyaga received his Ph.D. in computer engineering from Moscow Aviation Institute in 1986. Until 1992 he was with the Technical University of Moldova, working as an Associate Professor. From 1992 to 1998 he was a Lecturer at the Department of Electronics and Communication, Kyoto University, Japan. Since 1998 he has been with the Department of Electronics Engineering and Computer Science, Fukuoka University, Japan, where he is currently a Full Professor and a Director of a Computer Systems Laboratory. In 2005-2006 he was a Visiting Professor at University of California Los Angeles. His current research interests are in the areas of video processing, energy efficient technologies, embedded systems, and cognitive systems with a particular emphasis on AI and cognitive systems for assisting people with dementia and their caregivers. He has authored or co-authored over 200 referred journal and conference publications and holds six patents.
Dr. Moshnyaga served as Vice-Chairman of the IEEE CAS Society, Fukuoka Chapter, an Associate Editor of the IEICE Transactions on Fundamentals of Electronics, Communication and Computer Sciences, a General Chair of the IEEE Midwest Symposium of Circuits and Systems, and a member of Steering and Technical Program Committees of many international conferences and symposia including ACM/IEEE ISPLED, IEEE SMC, IEEE ISCAS, IEEE MWSCAS, ASP-DAC, etc. He is a senior member of IEEE, and a member of the Institute of Electronics and Communication Engineers of Japan.

Dr. Abdelkader Nasr Belkacem

United Arab Emirates University, UAE

Title: Brain-Artificial Intelligence Interfaces: Principles and Practice Abdelkader

Abdelkader Nasreddine Belkacem, an IEEE Senior Member, received the Ph.D. degree in information processing from Tokyo Institute of Technology, Japan, in 2015. He is currently an Associate Professor with United Arab Emirates University (UAEU) and the Director of Cognitive AI Robotics lab. Prior to joining the UAEU, he was a Specially Appointed Researcher with the Department of Neurosurgery, Osaka University Medical School, and an Assistant Professor with the Endowed Research Department of Clinical Neuroengineering, Global Center for Medical Engineering and Informatics, Osaka University, Japan, from 2015 to 2019. His research interests include brain-computer/ machine interface using human magneto- and electro-encephalography (MEG/EEG), human-machine interaction, artificial intelligence, robotics, and neuroscience. He was one of the recipients of the prestigious international award “MIT Technology Review Innovators Under 35 MENA” and brings over ten years of experience in brain-machine interface (BMI). One of his works was adopted on a cover page of IEEE Transactions on Neural Systems and Rehabilitation Engineering, Volume 26–6, 2018. He has been a Vice Chair of the IEEE P2725.1 Working Group, since 2021. He has contributed to many international technical program committees, such as IEEE International Conference on Systems, Man, and Cybernetics (SMC2018/20/21/22/23) as the Co-Chair of BMI workshops. He is a Guest Associate Editor of BMI on journal of Frontiers in Human Neuroscience.

Keynote Speakers