EMBC 2023 are delighted to showcase a number of workshops available for purchase with your registration.
All workshops run for ½ day on Monday 24 July.

Half day workshop with registration AUD $115.00 (Approx USD$80.00)
Half day workshop Only AUD $250.00 (Approx USD$170.00)

Already registered for EMBC2023? If you wish to add a workshop to your registration, email the conference managers on who can provide assistance.

Workshop Only Registration!

EMBC 2023 Registration!

  • Proposers: Jonathan Eden*, Etienne Burdet, Carsten Mehring, Gowrishankar Ganesh, Nathanael Jarrassé, Masahiko Inami, Yoichi Miyawaki

    Abstract: Sensorimotor augmentation looks to use technology to augment natural human sensing and movement ability. For many years such augmentation remained science fiction, however, recent advances in wearable robotic hardware, biological signal processing and neuroscientific understanding have allowed a new generation of neurotechnology for this space that promises to make the fiction into reality. Bringing together researchers across Europe and Asia from various large initiatives on movement augmentation (including the European NIMA project and the Japanese ERATO JIZAI programme), this workshop is designed to give individuals that are novice and experienced in the field an overview of the current state-of-the-art in sensorimotor augmentation. Through a series of presentations, six experts in neuroscience and robotics will present the most recent research findings on topics including: I) the neuroscience of sensorimotor augmentation; II) The design of robotic hardware solutions; III) Feedback and embodiment; and IV) The impact of augmentation on motor control.
    Attendees will also get hands-on insights into sensorimotor augmentation including an interactive experience in which they can apply control solutions onto a virtual supernumerary limb. Through panel discussions the audience will also be able to query the speakers on the open challenges in the field as well as on aspects necessary to help their research.

  • Proposers: T. Thang Vo-Doan*, Thanh Nho Do, Hirotaka Sato, Baranidharan Raman, Ritu Raman, Toshio Fukuda, Victoria Webster-Wood, Pablo Valdivia y Alvarado, Shinjiro Umezu, Tahmid Latif, Alper Bozkurt, Yao Li, Kan Shoji

    Abstract: Living organisms have been a great source of inspiration for engineers to develop actuators, sensors, devices, and robots. Studying the natural phenomena of living organisms allows us to understand and copy their structures and functions at different scales. Ideas gleaned from the principles of biological systems can also be used to develop new technologies and devices that mimic or even surpass biological models. Advances in biofabrication are fostering the development of biohybrid systems based on extracted or engineered tissues. The merging of physiology and miniature electronics allows us to use living organisms as biohybrid robots by tapping into their sensing capabilities, and/or stimulating their neuromuscular or neural areas to drive motor actions for desired behaviors. The development of the fields of biomimetics, bioinspired and biohybrid systems requires the collaboration of scientists and engineers from different disciplines, as well as the training of a new generation of interdisciplinary researchers with expertise in different disciplines such as biology, chemistry, medicine, materials science, nanotechnology, electrical engineering, mechanical engineering, optics and robotics. Therefore, the goal of this workshop is to foster interaction between scientists and engineers from different fields and different career stages. In particular, we hope to provide the audience with a general picture of how biological subjects are investigated, how systems can be developed at different scales using various approaches such as bioinspiration, biomimetics, and biohybrid. We will also provide information on current trends and future directions through keynote presentations.

    For more information, please visit:, and

  • Proposers: Ramtin Gharleghi*, Arcot Sowmya, Susann Beier

    Attendees are expected to be familiar with basic python programming. We recommend being familiar with Google Colaboratory. Please see for further details.

    Abstract: Constructing 3D models of coronary geometry from imaging modalities such as Computed Tomography Coronary Angiography is an important step in cardiovascular research. This allows conversion of data into a format that can be understood by computers and used for computational modelling, 3D printed for experiments, and virtual reality applications for education and training. This is a labour-intensive step, and to our knowledge there are no public datasets available for developing robust automated algorithms that would reduce the required effort. In 2020 we organised the Automated Segmentation of Coronary Arteries (ASOCA) challenge, creating the largest annotated dataset of CTCA imaging and associated reconstruction performed by three human experts. Participants in the challenge developed new segmentation algorithms using this benchmark dataset and presented their results at the MICCAI 2020 conference. This now forms a new automated segmentation benchmark, allowing objective comparison between methods developed by the challenge participants, future advances and the automated processing of CTCAs directly relevant for large-scale and personalised clinical applications.
    As the manuscript describing this research data has been recently accepted by the Journal of Scientific Data and the dataset is now publicly available, we believe this would be a good opportunity to allow researchers to discuss coronary artery segmentation and the use of this dataset. We have had significant interest in this dataset with 35 teams participating in the initial challenge and 45 new participants granted access over the last three months, therefore we are confident in being able to recruit speakers and workshop attendees. We shall recruit researchers to present their work using this dataset and give workshop attendees the chance to work with the dataset guided by experienced researchers. Computational resources will be provided using services such as Google Colaboratory or Nectar GPU service.

  • Facilitators: Kelly Coverdale, Cover Biomedical & Tim Croft, Nanosonics

    Spearheaded by the College of Biomedical Engineering of Engineers Australia this workshop aims to promote efficiency and effectiveness of research transfer for product development to reach regulatory approvals faster. An overview of a strong, quality management system-documented, product development process foundation will provide context to inform research deliverables. Case studies will be provided with opportunities for discussion.

    This session will aim to shed a light on the need for a strong product development process to:

    • Improve research translation efficiency and effectiveness
    • Align with regulatory expectations
    • Reduce duplication of work effort
    • Invest early in necessary infrastructure, skills and experience
  • Proposers: Socrates Dokos*, Kris Carlson, Tianruo Guo

    Abstract: Computational modelling is an important skill for biomedical engineers, playing an increasing role in biological and medical research as well as in the medical device industry. Development of therapeutic devices requires not only extensive bench tests, animal experiments, and clinical trials, but also computational simulations which allow cost-effective investigation of system behaviour and device design iteration. Modelling of therapeutic systems may eventually be routinely applied to tailor a range of individual treatments based on patient-specific simulations. In this half-day hands-on tutorial, participants will be taken through step-by-step instructions using COMSOL Multiphysics finite element software (v 6.1) to model and optimize the design of two cardiac therapeutic devices: an external defibrillator and a coronary stent.

  • Proposers: Hairong Zheng, Chengyu Liu, Kang Ping Lin, David B. Grayden, Udantha Abeyratne, Danny Eckert, Li Li*

    This workshop will provide a platform for discussing the latest advances, such as wearable monitoring, feature engineering and AI techniques for human health monitoring, and exploring the new solutions, with an emphasis on how these methods can be efficiently used on the emerging need and challenge — dynamic, continuous & long-term individual health monitoring and real-time feedback, as well as to explore rational applications of AI in clinical practices for human health monitoring.

    Abstract: This half-day workshop is organized by the Chinese Society of Biomedical Engineering and is geared toward graduate students, young researchers and enthusiasts entering the field of Health Monitoring. Recent advances in artificial intelligence (AI), wearables and Internet of Things (IoT) devices has led to an explosion of routinely collected individual health data. The use of big-data and AI methods (such as the items of deep learning, machine learning, computational intelligence, etc) to turn these ever-growing health monitoring data into clinical benefits seems as if it should be an obvious path to take. However, this field is still in its infancy, and lots of essential concepts and method solutions should be clarified in depth. Among them, how to enhance the clinical efficiency and individual benefit from the massive data and AI methods, and how to improve the rationality and interpretability of AI algorithms in practical applications, are two major challenges.
    The purpose of this workshop is to provide a platform for discussing the latest progresses, such as AI approaches, wearable device development, feature engineering and computational intelligence techniques for human health monitoring, and exploring the new solutions, with an emphasis on how these methods can be efficiently used on the emerging need and challenge — dynamic, continuous & long-term individual health monitoring and real-time feedback, aiming to provide a “snapshot” of the state of current research at the interface between device development and clinical application & individual benefit, between signal analysis and standard database development. It could help clarify some dilemmas and encourage further investigations in this field, to explore rational applications of AI in clinical practices for health monitoring.

  • Proposers: Brett BuSha*, Merryn Tawhai, Cristhian Potes, Liang Zhong

    This workshop is designed to appeal to, and to benefit, graduate students, post-doctoral fellows and early career faculty who have a desire to increase their understanding about cardiopulmonary physiology, and the application of pedagogical and research-based modeling and/or signal processing techniques. Divided in four core topic sections, this workshop will cover cardiovascular, respiratory and cardiopulmonary systems, along with clinical research and treatment applications. At the completion of this workshop, attendees should expect to have gained a deeper and more integrative understanding of cardiopulmonary physiology and the application and benefit of computational modeling techniques.

    Abstract: This half-day workshop is organized and provided by the IEEE-EMBS Technical Community on Cardiopulmonary Systems and Physiology-Based Engineering, and is designed to benefit graduate students, post-doctoral fellows and early career faculty who have an interest in cardiopulmonary systems engineering. The series of four talks will provide an opportunity for attendees to learn about fundamental cardiorespiratory physiology along with examples of pedagogical and research-based modeling and/or signal processing techniques. The workshop is divided in four core topic sections: cardiovascular physiology and modeling, respiratory physiology and modeling, cardiopulmonary interactions and models, and clinical research and treatment applications of cardiopulmonary models. Although each talk will be delivered as an independent experience, there will be a clear thematic link across all the presentations. Each lecture will integrate innovative teaching and/or learning methods in the delivery of the physiological content and will culminate with an example of a topic-related example from the presenter’s academic or business professional experience. Each section lecture will begin with a section covering normal physiology, selective examples of modeling the physiological structure and/or function and a relevant example of biomedical engineering research. At the completion of this workshop, attendees should expect to have gained a deeper and more integrative understanding of physiology, and how this knowledge is a vital component of any biomedical engineer’s professional skill set.

  • Proposers: David Phillip Nickerson*, Peter Hunter, Merryn Tawhai, Hugh Sorby, Alan Garny, Thiranja Prasad Babarenda Gamage

    Come and get some credibility, let us show you how to create, share, and publish FAIR models, simulations, and analyses. We will demonstrate several tools that we are using across a range of projects as we attempt to harmonize our efforts to achieve credible and FAIR digital twins with potential to integrate into clinical practice. While we will use our open-source tools and models to deliver concrete hands-on tutorials, the goal is to provide attendees with solid guidance on practices to follow in order to make their work more FAIR and improve credibility. Where practical, tutors will be on hand to help attendees pick-and-choose which tools would be useful to integrate with their own tools or workflows.

    Abstract: In this hands-on tutorial-style workshop, we will demonstrate a range of tools that encourage users to create, share, and publish physiological models in a reproducible and FAIR manner. We will show how using appropriate standard formats and consistently adopting suitable practices eases the transition from reproducible model to reproducible publication and begins to provide evidence of model credibility that is crucial for the translation of models into clinical applications. We will demonstrate examples which are beginning to achieve such translation of models into clinical workflows designed to support specific clinical use-cases.
    The workshop will use free and open-source software tools being developed for the 12 Labours project (, SPARC (, and the Center for Reproducible Biomedical Modeling ( We will present the hands-on tutorials using stand-alone desktop or web applications and using services or programming interfaces that could be more easily integrated into existing tooling and practices in your own lab. Workshop facilitators will be on hand to help with installation and usage questions, and in-depth discussion regarding potential integration of the tools. All tools and example models and data used in the workshop will be available for attendees to access and share following the workshop, along with suitable documentation to help attendees share what they have learnt with colleagues.
    To help encourage the publication of reproducible and credible models, we have launched the Physiome journal ( In this workshop, we will discuss recent progress with Physiome as we look to make the articles dynamic and interactive “active papers” and show how the tools and practices covered throughout the workshop can lead to the publication of your work in this way with minimal additional effort.

  • Proposers: Alan Wang*

    Abstract: The International Workshop of Neuroimaging Quantification for Precision Medicine (NQPM 2023), a satellite event of EMBC 2023, calls for original papers in the field of neuroimaging data analysis with clinical applications for precision medicine. This interdisciplinary workshop provides an excellent platform for connecting researchers of varying disciplines and collectively advancing the research progress and clinical applications. The applications of neuroimaging quantification algorithms are moving towards precision medicine for complex brain disorders. We seek novel contributions that address current methodological gaps in analyzing high-dimensional, longitudinal, and heterogeneous neuroimaging data using stable, scalable, and interpretable machine learning models. The neuroimaging quantifications using machine learning and artificial intelligence approaches can improve understanding of complex brain disorders, moving the field closer to precision medicine for diagnosis, prognosis, and intervention. Topics of interest include but are not limited to:
    • Multimodal neuroimaging analysis
    • Graph theory and complex network analysis
    • Longitudinal brain data analysis
    • Model interpretability and scalability in neuroimaging analysis
    • Multi-source and Multi-site brain data integration and quantification
    • Harmonization and transfer learning in neuroimaging
    • Unsupervised methods for classifying brain disorders
    • Deep learning in neuroimaging analysis
    • Cross-modality pseudo neuroimaging data generation
    • Model uncertainty in predicting mental disorders
    • Neuroimaging biomarker discovery
    • Treatment/intervention outcome prediction
    • Post-stroke recovery prediction
    • Neurodegenerative diseases
    • Neurogenetics and neuroimaging genetics
    • Brain Mechanistic modeling
    • Brain aging
    • Databases to stimulate developments in intelligent neuroimaging quantifications

  • Proposers: Lauren Kark* (Australia), Hans van Oostrom (USA), Richard Reilly, Luca Mainardi, Robert Ssekitoleko, Mark Chong, Joaquin Azpiroz


    Biomedical engineering is taught in a similar way throughout the world, but there are differences in specific curriculum and teaching methods used by institutions in different countries. These differences reflect the diverse needs and priorities of biomedical engineering communities in different regions but may contribute to the identity challenges that biomedical engineering, like any interdisciplinary field, faces. Understanding the diversity of educational approaches in biomedical engineering can provide valuable insight into the different needs, priorities, and goals of biomedical engineering communities in different regions. It can also help institutions to develop more effective and relevant biomedical engineering programs, which can better prepare students for careers in the field and contribute to the advancement of biomedical engineering. By learning from the experiences and successes of other institutions, institutions can incorporate best practices into their own teaching approaches, which can lead to better outcomes for students and for the field as a whole. The purpose of this workshop is to investigate the similarities and differences in the educational philosophies, pedagogies and expected core competencies within biomedical engineering across various regions. The aim is to identify best practices in biomedical engineering education and enhance the awareness and understanding of the discipline through collaboration and cooperation.


    This workshop will comprise three activities:

    1) a discipline identity exercise to define biomedical engineering and to what makes a biomedical engineering graduate distinct from other engineering graduates;

    2) a practice-sharing activity to explore the diversity of pedagogical techniques used to educate biomedical engineering students; and

    3) an exploration of core knowledge, skills and application expectancies of biomedical engineering graduates throughout the world.

    ***Please note that this workshop may involve the collection of data to inform future research on the future of biomedical engineering education. All data collected will be strictly confidential and anonymised to protect the participants’ privacy. By registering for this workshop, you consent to data collection for research purposes and understand that any information collected will be used in line with ethical research practices.***