Biomedical Technology

Short Description and Goals

The term ‘biomedical’ implies a greater emphasis on problems related to human health and diseases. Biomedical Technology is the synergy of Biotechnology and Medical Technology which consists of the applications of biological and medical engineering in solving problems related to man. It is concerned with the theory, design and production of biomedical systems, components and devices used in the basic levels of health care: Preventive, Therapeutic and Rehabilitative.

Man can be said to be a living machine performing according to the grand design of nature and therefore is amenable to various analytical considerations – a good number of which require engineering principles and practice. Thus, it became pragmatic for professionals in engineering and medicine to cooperate in the emerging and potentially lucrative and exciting field of biomedical technology.

Biomedical Technology is the modern application of biomedical engineering which involves the design, analysis and synthesis of healthy human systems or its components. The Design component is the general planning of a system; Analysis is the study of a system by examining its parts and their relationship; while Synthesis is the combination of separate things or subsystems to form a system or complete whole. It is based on the understanding of pure sciences like mathematics, physics, chemistry and biology. However, Biology and Medicine form the major basis for Biomedical Engineering Technology.

The health system of the future will be consumer-centric, wellness-oriented, care everywhere, and digitally connected. Healthcare stakeholders will need to adopt more virtual, innovative health management tools and techniques to support patients at home.

This session targets on novel ideas towards Biomedical Technologies, Health Information Systems, AI and Biomedical Applications, Human Computer Interaction in Healthcare, Novel approaches in Bioinformatics and Epidemiology.

Special Session Organizers

Prof. Dr. Alexandros T. Tzallas, University of Ioannina

Alexandros T. Tzallas received the B.Sc. degree in physics and the Ph.D. degree in medical physics from the University of Ioannina, Ioannina, Greece, in 2001 and 2009. He holds a position as an Assistant Professor in the field of Biomedical Engineering and specifically in the “Analysis and Processing of Biomedical Data,” with the Department of Informatics and Telecommunications, University of Ioannina, Arta, Greece. He is also affiliated as an Academic Research Fellow to a number of Research and Technology Institutes in Greece and the U.K. His research interests include neuroscience, electroencephalography, wearable devices, biomedical signal and image processing, biomedical engineering, decision support medical expert systems, and biomedical applications.

Prof. Dr. Markos G. Tsipouras, University of Western Macedonia

Markos G. Tsipouras received the diploma degree in computer science and the M.Sc. and Ph.D degrees in biomedical informatics from the Department of Computer Science, University of Ioannina, Ioannina, Greece, in 1999, 2002, and 2008, respectively, and a Natural Sciences diploma degree from Hellenic Open University, Patras, Greece, in 2013. He has been employed as an Adjunct Lecturer/Assistant Professor with various University and Technology Institutes in Greece, and from April 2019, he is an Associate Professor of Signal Processing with the Department of Electrical and Computer Engineering, University of Western Macedonia, Kozani, Greece. He has worked in more than 25 European (3rd CSF, FP6, FP7, and H2020) and Greek National Research Programs, as a Researcher in the fields of AI applications in biomedical image and signal processing and bioinformatics. He has co-founded two spin-off companies in the field of medical informatics with the Science and Technology Park of Epirus, Ioannina. His research interests include biomedical image and signal processing, bioinformatics, machine learning, and data mining.

Prof. Dr. Nikolaos Giannakeas, University of Ioannina

Nikolaos Giannakeas received the degree in physics from the University of Ioannina, Ioannina, Greece, in 2003, the degree in computer science from Hellenic Open University, Patras, Greece, in 2020, and the Ph.D. diploma degree in bioinformatics from Medical School, University of Ioannina in 2011. He has worked for more than 15 years in research projects funded by National and European Programs (3rd CSF, NSRF 2007–2013, NSRF 2014–2020, FP6, FP7, and Horizon 2020). He has been an Assistant Professor with the Informatics and Telecommunications Department, University of Ioannina, Arta, Greece, since 2019. His research interests include signal processing and image analysis, artificial intelligence and machine learning, bioinformatics, and biomedical engineering.