Suélia de Siqueira Rodrigues Fleury Rosa is an Associate Teaching Professor in the Meinig School of Biomedical Engineering at Cornell University, where she serves in the Master of Engineering program. She is also an Associate Professor (Full Researcher, Rank IV) at the University of Brasília, Brazil, currently on official leave appointed by the Brazilian Government. Her work focuses on translating innovative health technologies from concept to implementation through a systems-driven and model-informed framework. She integrates structured systems engineering methodologies, physiological modeling, and artificial intelligence strategies to support decision-making across the medical technology life cycle. Her academic mission centers on equipping biomedical engineers with the intellectual tools required to bridge the translational “valley of death” between research and real-world impact. Dr. Rosa began her professional career at Siemens as an industrial engineer and later worked in technological development for patient-centered solutions at SARAH Hospital in Brasília. Over the years, she has contributed to prototype development and Phase I–IV clinical trials in multiple healthcare initiatives, consistently emphasizing accessibility, safety, and social responsibility. Dr. Rosa is a Distinguished Lecturer of the IEEE Engineering in Medicine and Biology Society (2022–2024) and a Senior Member of IEEE. Her recent activities in applied research and innovation have received national and international recognition, reinforcing her commitment to translational biomedical systems that integrate mechanistic modeling and intelligent computational enhancement.
Professor Dan Nicolau who is a Professor at, and the founding Chair of the Department of Bioengineering at McGill University, has a PhD in Chemical Engineering, a MS in Cybernetics, Informatics & Statistics, and a MEng in Polymer Science & Engineering. He has published ~130 papers in peer-reviewed scientific journals, a similar number of full papers in conference proceedings and 6 book chapters. He has co-edited one book (on microarray technology and applications), and edited or co-edited the proceedings of 30+ conferences. Dan is a Fellow of the International Society of Optical Engineering (SPIE) and the former Editor-in-Chief of IEEE NanoBioScience. His present research aggregates around three themes: (i) technologies for both largely-parallel, and rapid-sequential high throughput screening; (ii) information storage and processing in biomolecular and/or nano-systems; and (iii) intelligent-like behaviour of microorganisms in confined spaces.
Andrei Alexandru is a mathematician, graduated as a valedictorian of the "Alexandru Ioan Cuza" University of Iași, having a PhD in computer science at the Romanian Academy. The PhD thesis in applied logic in computer science and the foundations of mathematics was published by Springer - Nature in the form of the book "Finitely Supported Mathematics: An Introduction". Andrei Alexandru is also a senior scientific researcher in the Institute for Computer Science of the Romanian Academy and an invited associate professor at the "Stefan cel Mare" University of Suceava. He published 2 authored monographs at Springer - Nature and about 40 other Web of Science (ISI) indexed articles in the fields of logic and axiomatic set theory, most of them in the Q1/Q2 quartiles of Journal Citation Reports. His research area is mainly focused on the discrete modeling of infinite algebraic structures by using an alternative approach to set theory without the axiom of choice. He is an editor or guest editor at several Web of Science indexed journals (such as Theoretical Computer Science - Elsevier, ROMJIST etc.), including at journals indexed in the Q1 quartile of JCR, he have given several dozen invited talks at international scientific events and in 2022 he was awarded the "Grigore Moisil" prize of the Romanian Academy. Since January 2022, Andrei Alexandru has been Secretary of State in the Government of Romania, responsible for coordinating the research and development activity in Romania.
Petr Kudrna is a biomedical engineer at General University Hospital in Prague and is currently also a faculty member at the Faculty of Biomedical Engineering (FBME) at the Czech Technical University in Prague, Czech Republic. He was appointed associate professor of biomedical engineering at the FBME in 2022. He obtained his PhD from the Faculty of Biomedical Engineering in 2015 for his thesis on ‘Measurement of tidal volumes during high frequency jet ventilation’. He has long been involved in issues related to medical devices in neonatology and perinatology. He is currently the Head of the Department of Natural Science. He sits on the Scientific Board and the Ethical Committee of the FBME Czech Technical University in Prague; he is also a member of the study program council at universities in the Czech Republic and Slovakia.
About workshop: Technological advances in the design of biomedical devices, development and optimization of new techniques, and monitoring of patients or patients treatments, contribute to the improved safety of the patients and speed up the healing process. The workshop deals with novel methods and approaches in biomedical engineering that could be used in improving patient care and optimizing the cost of the treatment. The workshop will be focused on biosensors, biomedical methods in research, measurement of biosignals in clinical practice and evaluation of economical aspects of the healthcare.
This special session addresses emerging approaches to emergency preparedness and risk assessment aimed at protecting and enhancing human health and performance in dynamic environments. Such environments are characterized by rapidly evolving conditions, high uncertainty, and complex interactions between technological, environmental, and human factors. These include operational contexts in nuclear and radiological domains, space exploration, defense and security operations, emergency medical services, and other complex settings where maintaining safety, resilience, and operational performance is essential. The session will explore how advanced technologies and interdisciplinary methodologies can support preparedness, informed response, and risk mitigation across the full operational lifecycle. Particular attention will be given to solutions that enhance monitoring, decision-making, resilience, and coordinated intervention for responders, control centers, and populations at risk. Contributions may address concept definitions, methodological frameworks, case studies, best practices, qualitative and quantitative data analysis, and innovative technological developments supporting emergency preparedness, response, and risk mitigation, including broader physiological monitoring and evaluation. Topics may include the integration of artificial intelligence, Internet of Things (IoT), digital health and biomedical technologies, physiological assessment technologies and measurement devices, and systems engineering approaches for the design, evaluation, and operation of complex health and safety systems in rapidly evolving operational contexts, with relevance for both responders and individuals exposed to risk. Topics of Interest: • Emergency preparedness and response strategies for human health and performance • Risk evaluation and mitigation in dynamic operational environments • AI- and IoT-enabled health monitoring and decision-support systems • Digital health and biomedical engineering solutions for operational contexts • Systems engineering and model-based approaches for complex health and safety systems • Human performance, resilience, and safety in high-risk domains • Support tools for responders, command and control systems, and populations at risk • Autonomous and remotely operated technologies (e.g., UAS) for monitoring and intervention • Applications in nuclear, radiological, space, defense, and other dynamic environments • Ethical, organizational, and human-centered considerations in preparedness and response • Physiological assessment and monitoring for human performance, fatigue, recovery, and operational readiness in high-risk environments. Target Audience: Biomedical engineers, systems engineers, healthcare professionals, emergency and risk management specialists, researchers in digital health, AI and IoT, experts in nuclear, radiological, defense, and space-related health and safety, academic staff, industry professionals, and students interested in interdisciplinary approaches to health, technology, and risk management. Objectives: • Promote interdisciplinary collaboration across health, engineering, and emergency domains • Highlight innovative technologies and methodologies supporting preparedness and response • Encourage integrated and model-informed approaches for complex operational environments • Facilitate knowledge exchange between research and operational stakeholders • Support dissemination of scientific results and future collaborative initiatives.
This interdisciplinary workshop aims to foster dialogue and showcase innovative solutions in the field of personalized healthcare, with a strong focus on inclusion, sustainability, and social impact. By integrating emerging technologies such as 3D printing and medical engineering, the workshop highlights the role of applied research in improving the quality of life for individuals with disabilities. Topics of Interest:
Target Audience: biomedical engineers, physicians and therapists, health researchers, academic staff and trainers, students interested in interdisciplinary fields. Objectives:
About workshop: This special session focuses on next-generation digital health ecosystems powered by artificial intelligence, addressing current and emerging needs in ageing, chronic disease management, and neurocognitive care. The aim is to bring together interdisciplinary research and applied innovation in the development of intelligent platforms that support predictive, preventive, and personalized healthcare services. Emphasis will be placed on the integration of medical IoT devices, wearable sensors, multimodal data analysis, and cloud-based AI technologies to enable continuous monitoring and timely interventions, especially in elderly or at-risk populations. The session also encourages a user-centered approach, highlighting clinically meaningful and ethically sound solutions for remote or home-based care. Topics of interest include, but are not limited to:
Technological progress in applied electronics, biomechanics, and biomedical engineering is strongly connected with the design and development of modern aerospace and defence systems. The workshop will focus on interdisciplinary approaches combining sensor technologies, inertial and aerospace navigation, human–system interaction, and biomedical assessments of operators in demanding operational environments. Topics include the design of advanced navigation and aerospace systems, the integration of biomechanical and biomedical measurements, and engineering studies on operator stability and environmental exposure during defence activities. By linking these directions with innovative methods of data acquisition and analysis, the workshop aims to provide a collaborative platform for research and technological development with impact in both civil and defence applications.
About workshop: The session will highlight emerging technologies and methodologies for monitoring and supporting seafarers, including wearable and electronic sensing devices, participatory approaches involving interviews and stakeholder consultations, cloud-based data management and analytics, and AI-assisted decision-support tools. Special attention will be given to ethical and social aspects, including data protection and privacy, gender equality, inclusiveness, and the prevention of discrimination within the maritime sector, ensuring that technological innovation contributes to both operational excellence and social sustainability.
About workshop: The goal of the workshop is to create a collaborative interdisciplinary research environment that integrates medicine, informatics, and bioengineering to address current and future healthcare challenges. By bringing together specialists from these fields, the workshop aims to foster innovative research and cross-border studies with tangible impact on medical practice and human well-being. In the era of digital transformation, the convergence of biomedical sciences and information technologies is essential for developing intelligent diagnostic systems, personalized therapies, and advanced data-driven health solutions. The workshop encourages collaboration between clinicians, engineers, and computer scientists, promoting new ideas that align with the global trend of using digital innovation to sustain and improve life and health.
Organizer: