Prof. Dr Constantinos Koutsojannis, Health Physics & Computational Intelligence Lab, School of rehabilitation Sciences University of Patras, Greece
Dr. Constantinos Koutsojannis is an Associate Professor of Medical Physics at the University of Patras, Greece, affiliated with the Physiotherapy Department, and involved in teaching and research across the Medical and Computer Engineering Departments. He directs the Health-Physics and Computational Intelligence Lab, focusing on digital health, informatics, and medical technology training. With over 70 published works and more than 1000 citations, his research spans intelligent medical systems, health physics, and biosignal analysis. Dr. Koutsojannis has played key roles in several European research and training programs such as Erasmus+ and Pythagoras II. He is also an advisor to the Artificial Intelligence Working Group and Project Committee member at EFOMP. Recognized for his interdisciplinary expertise, he has received awards for scientific contributions and actively participates in national and international conferences and publications. His leadership in health professional training and medical technology projects has significantly influenced healthcare education in Greece and Europe.
Publication Profile
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Education
Dr. Constantinos Koutsojannis holds a Bachelor’s Degree in Physics from the University of Patras, completed in 1987. He pursued his doctoral studies in Medical Physics, earning a Ph.D. from the School of Medicine, Faculty of Health Sciences, at the University of Patras in 1994. This solid academic foundation allowed him to bridge disciplines between physics, medical sciences, and informatics. His academic development is rooted in a strong theoretical background in natural sciences, enhanced by a deep understanding of human health and clinical applications of medical physics. His PhD thesis and subsequent research have contributed substantially to the evolution of non-ionizing radiation studies, bioelectromagnetics, and intelligent health systems. The combination of rigorous physics training and medical education positioned him for a highly interdisciplinary research and teaching career, uniquely equipping him for leadership roles in applied medical technologies, digital transformation in healthcare, and training professionals in emerging biomedical disciplines.
Experience
Dr. Koutsojannis began his professional journey with a clinical license in Medical Physics (1995) and accumulated 9 years of clinical experience in diagnostic centers and clinics in Greece. He also directed training for 5 years at VET “Daphne,” delivering vocational education in healthcare technologies. Academically, he lectured in Nursing and Physiotherapy at TEI of Patras (1996–2008), and from 2008 served as Assistant Professor, eventually becoming Associate Professor at the University of Patras. His teaching portfolio includes undergraduate and postgraduate programs across institutions such as the University of Athens, Panteion University, and the University of Ioannina. He leads the Health-Physics and Computational Intelligence Lab, spearheading projects in health informatics and AI in medicine. His experience also extends to consulting roles, such as with EFOMP’s Artificial Intelligence Working Group. He has participated in major EU-funded projects, delivering expert insight on medical education, intelligent systems, and digital transformation in healthcare.
Honors and Awards
Dr. Constantinos Koutsojannis has been the recipient of multiple academic honors, including six bursaries for his postgraduate and doctoral studies, recognizing his academic excellence and research contributions. He has also received an international award for Best Free Paper Presentation, demonstrating the scientific impact of his research in global academic circles. As a reviewer for leading international scientific journals and a member of several scientific committees and roundtables, he contributes to maintaining academic rigor and advancing knowledge in the field of medical physics and health technology. His leadership in EU-funded research and training programs—such as Erasmus+, Pythagoras II, and Archimedes III—has earned him recognition across Europe. Through his contributions to symposiums and workshops, Dr. Koutsojannis has played an instrumental role in fostering innovation and collaboration in medical education and computational health systems. His dedication continues to be acknowledged in both national and international academic forums.
Research Focus
Dr. Koutsojannis’s research revolves around Medical Physics, Health Physics, and intelligent systems in healthcare. His work particularly emphasizes non-ionizing radiation protection, biosignal analysis, and the design of smart medical and e-health systems. He has made substantial contributions to bioelectromagnetics, computational intelligence in medicine, and electrophysiology-based diagnostics. His interdisciplinary focus integrates medical science with computer engineering, reflecting a dedication to advancing health technology for improved clinical outcomes and professional training. Through the Health-Physics and Computational Intelligence Lab, he leads applied research in digital health skills, e-learning systems for healthcare workers, and smart algorithms for physiological data analysis. His participation in numerous European and national projects underscores his commitment to technological innovation in healthcare education. He is also engaged in AI-driven healthcare safety, working on frameworks to implement AI ethically and effectively within clinical and educational environments, ensuring safe and data-driven decision-making in healthcare systems.
Publications
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📄 Design and Implementation of a Smart e-Health Monitoring System Using Wearable Devices
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📊 Evaluation of Non-Ionizing Radiation Risks in Medical Facilities
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🧠 Artificial Intelligence Models for Biosignal Interpretation in Physiotherapy
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💡 Innovative Health Informatics Training for Medical Professionals
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🔬 Computational Intelligence Approaches in Health Physics Education
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🧪 Integration of e-Learning Platforms in Medical Physics Curricula
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📘 Chapters in Medical Physics Applications and Safety Protocols
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🏥 Safety Measures and Risk Assessment in Medical Diagnostics
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🧬 Electrophysiological Signal Analysis for Rehabilitation Therapy
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💻 Health Data Analytics Using Machine Learning Models