Prof. George Matsopoulos | Medical Imaging | Best Researcher Award
Prof. George Matsopoulos, National Technical University of Athens, Greece
Prof. George Matsopoulos is a distinguished professor at the National Technical University of Athens, Greece, specializing in biomedical informatics and bioinspired computing. He is the director of the Biomedical Engineering Laboratory and the Laboratory of Biomedical Optics and Applied Biophysics at the university. His research interests encompass medical imaging, biosignal processing, medical decision support systems, and the development of diagnostic technologies using bio-inspired computing. Prof. Matsopoulos has contributed extensively to the field through his academic leadership, research advancements, and involvement in various professional organizations. His work continues to shape the future of healthcare technologies.
Author Profile
Education:
Prof. George Matsopoulos has a solid educational foundation in electrical and computer engineering and bioengineering. He earned his undergraduate degree from the School of Electrical & Computer Engineering at the National Technical University of Athens (NTUA) from 1983 to 1989. Pursuing advanced studies, he completed an M.Sc. in the Bioengineering Unit at the University of Strathclyde, United Kingdom, in 1989-1990, where he deepened his expertise in biomedical applications. He further advanced his academic journey with a Ph.D. (1990-1993) from the same university, specializing in the Bioengineering Unit and Signal Processing Division, solidifying his expertise in bioengineering and signal processing technologies.
Current Position:
Prof. George Matsopoulos is currently a Professor specializing in “Technologies of Biomedical Informatics and Bioinspired Computing” at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), Greece. He is part of the Information Transmission Systems and Material Technology Division, where he leads innovative research and teaching efforts in biomedical informatics and computational systems inspired by biological processes. Based at NTUA’s historic campus at 9, Iroon Polytechniou Street, Athens, he contributes significantly to advancing interdisciplinary research and fostering academic excellence. His role reflects his dedication to integrating engineering principles with cutting-edge biomedical technologies.
Research Experience:
Prof. George Matsopoulos has extensive research experience spanning over three decades, contributing significantly to biomedical engineering and related fields. Since 2022, he has served as the Director of the Biomedical Engineering Laboratory at the National Technical University of Athens (NTUA). He also leads the Laboratory of Biomedical Optics and Applied Biophysics, a role he has held since 2016. His academic progression at NTUA includes appointments as Professor (2018-present), Associate Professor (2014-2018), and Assistant Professor (2008-2014) in “Technologies of Biomedical Informatics and Bioinspired Computing.” Previously, he held research positions at the Microwave and Fiber Optics Laboratory and the University of Strathclyde.
Professional Experience:
Prof. George Matsopoulos has a distinguished professional career, including roles in academia, industry, and leadership. He is an elected Fellow of the European Alliance of Medical and Biological Engineering and Science (EAMBES) and the International Academy of Medical and Biological Engineers (IAMBE) and a Senior Member of IEEE (2024-present). He serves on the IEEE Journal of Biomedical and Health Informatics editorial team and the IEEE EMBS Greek Chapter Management Committee. He has held leadership roles, including President of the Rizareio Foundation and Vice President of the National Documentation Centre. Additionally, he consults for European and national programs, specializing in biomedical technology procurement and applications.
Research Interests:
Prof. George Matsopoulos’s research interests include medical imaging, biosignal processing (e.g., EEG, ECG), multidimensional medical data fusion, digital medical image and signal processing, and bio-inspired diagnostic systems. He also focuses on medical decision support systems, biological modeling, telemedicine, mobile health, PACS, and medical information systems for enhanced healthcare delivery.
Awards and Honors:
Prof. George Matsopoulos has received numerous prestigious awards and honors throughout his career, recognizing his contributions to biomedical engineering and informatics. He was elected as a Fellow of the European Alliance of Medical and Biological Engineering and Science (EAMBES) and the International Academy of Medical and Biological Engineers (IAMBE) in 2024, reflecting his significant impact on the field. As a Senior Member of IEEE, he is acknowledged for his professional excellence and contributions to engineering. Additionally, his leadership and innovation in interdisciplinary postgraduate programs and biomedical technology have earned him recognition on national and international platforms, further solidifying his esteemed reputation.
Citations:
Citations – 4339
h-index – 32
i10-index – 93
Conclusion:
Prof. George Matsopoulos is a distinguished academic and researcher with extensive expertise in biomedical informatics, bioengineering, and medical technologies. His innovative work in medical imaging, biosignal processing, and the development of advanced medical decision support systems has significantly contributed to the field. Prof. Matsopoulos’s focus on bio-inspired computing, telemedicine, and the creation of integrated healthcare systems further underscores his commitment to advancing healthcare technologies. Through his leadership in various research laboratories and active participation in professional organizations, he continues to make impactful contributions to both academia and the broader medical community.
Top Notable Publications
Article: Exploring New Tools in Upper Limb Rehabilitation After Stroke Using an Exoskeletal Aid: A Pilot Randomized Control Study
Authors: Syringas, P., Potsika, V., Tachos, N., Matsopoulos, G.K., Fotiadis, D.I.
Journal: Healthcare (Switzerland)
Year: 2025
Article: The Styloid Process Length and the Stylohyoid Chain Ossification Affect Its Relationship with the Carotid Arteries
Authors: Triantafyllou, G., Botis, G., Vassiou, K., Matsopoulos, G., Piagkou, M.
Journal: Annals of Anatomy
Year: 2025
Article: Automatic Segmentation in 3D CT Images: A Comparative Study of Deep Learning Architectures for the Automatic Segmentation of the Abdominal Aorta
Authors: Mavridis, C., Vagenas, T.P., Economopoulos, T.L., Kakkos, I., Matsopoulos, G.K.
Journal: Electronics (Switzerland)
Year: 2024
Article: Sex Estimation Through Orbital Measurements: A Machine Learning Approach for Forensic Science
Authors: Triantafyllou, G., Botis, G.G., Piagkou, M., Matsopoulos, G.K., Papadodima, S.
Journal: Diagnostics
Year: 2024
Article: Hand Dexterities Assessment in Stroke Patients Based on Augmented Reality and Machine Learning Through a Box and Block Test
Authors: Papagiannis, G., Triantafyllou, A., Yiannopoulou, K.G., Tachos, N., Fotiadis, D.I.
Journal: Scientific Reports
Year: 2024
Article: Multi-Graph Assessment of Temporal and Extratemporal Lobe Epilepsy in Resting-State fMRI
Authors: Amoiridou, D., Gkiatis, K., Kakkos, I., Garganis, K., Matsopoulos, G.K.
Journal: Applied Sciences (Switzerland)
Year: 2024
Article: A Multidimensional Framework Incorporating 2D U-Net and 3D Attention U-Net for the Segmentation of Organs from 3D Fluorodeoxyglucose-Positron Emission Tomography Images
Authors: Vezakis, A., Vezakis, I., Vagenas, T.P., Kakkos, I., Matsopoulos, G.K.
Journal: Electronics (Switzerland)
Year: 2024
Article: Enhancing Sports Injury Risk Assessment in Soccer Through Machine Learning and Training Load Analysis
Authors: Tsilimigkras, T., Kakkos, I., Matsopoulos, G.K., Bogdanis, G.C.
Journal: Journal of Sports Science and Medicine
Year: 2024
Article: ProLesA-Net: A Multi-Channel 3D Architecture for Prostate MRI Lesion Segmentation with Multi-Scale Channel and Spatial Attentions
Authors: Zaridis, D.I., Mylona, E., Tsiknakis, N., Tsiknakis, M., Fotiadis, D.I.
Journal: Patterns
Year: 2024
Article: ResQu-Net: Effective Prostate’s Peripheral Zone Segmentation Leveraging the Representational Power of Attention-Based Mechanisms
Authors: Zaridis, D.I., Mylona, E., Tachos, N., Koutsouris, D.D., Fotiadis, D.I.
Journal: Biomedical Signal Processing and Control
Year: 2024