About Medlab

Dr. Evanthia E. Tripoliti was born in Chios island, Greece, in 1978. In 2001 she received the Diploma degree from the Department of Computer Science, School of Natural Sciences, University of Ioannina, Ioannina, Greece.  The title of her thesis was Pre-hospital Emergency Medicine – Development of a Telemedicine Service.  In 2003 she received the M.Sc. degree from the Department of Computer Science, School of Natural Sciences, University of Ioannina, Ioannina, Greece. Her Master thesis concerned the automated diagnosis and quantification of rheumatoid arthritis using artificial intelligence techniques and MRI data.  In 2012 she received the PhD degree from the Department of Computer Science, School of Natural Sciences, University of Ioannina, Ioannina, Greece.  Her Ph.D. thesis focused on the automated analysis of brain function in patients with Alzheimer’s disease based on the Random Forests algorithm.  Her main areas of expertise are biomedical engineering, biomedical signal processing, biomedical image processing, artificial intelligence, machine learning.  She has more than 40 publications in International Journal, Conferences and Book Chapters.  Since 1999, she has been a member of Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina. Google Scholar

Daphne Plati holds a degree in Informatics from the Department of Informatics of the University of Ioannina (2008), a Master’s Degree from the University of Ioannina (2012) and an MBA from the Technical University of Western Macedonia (2015). She speaks English at an excellent level, and Italian and French at a moderate level. She has worked as a researcher in various projects funded by the EU and nationally funded (PROMISI, Kardiatool, Immunaid, Odin, Precious, IncareHeart) with main duties:the analysis of medical data and pre-processing, the development of decision support systems using Machine Learning and Deep Learning techniques. She has publications in journals, conference proceedings and book chapters.

Following a Ph.D. in Biophysics in 2006 from the Laboratory of Medical Physics, Medical School, University of Ioannina,Dr. Evangelos Fotiouhas been working as a consultant in EU funded research projects since 2007 both in the academic and business sectors. He has obtained extensive experience initially in Medical Image Analyses and Medical Systems Software design and evaluation and later, since 2009, he has undertaken the management of various research projects.Google Scholar

Dr. George Rigas was born in Pella, Greece in 1981. He received the Bachelor and MSc degree in Computer Science from the Department of Computer Science of the University of Ioannina in 2003 and 2005 respectively. He also received the PhD in Computer Science, from the same department in 2009. Since 2010 he has been working as a postdoc Researcher in the Unit of Medical Technology and Intelligent Information Systems in the University of Ioannina, Greece. His research interests involve signal processing, machine learning and pattern recognition. Google Scholar

Dr. Fanis G. Kalatzis was born in Athens, Greece. He received the B.Sc. from the Department of Mathematics at the University of Ioannina (UOI) in Greece followed by Ph.D. degree from the Department of Chemistry (at UOI) in Quantum Molecular Modelling and Computational Simulations with Applications to Bioinformatics. The main activities include active research in the field of Biomedical Engineering and teaching Mathematics. The research and technological labor involve Mathematical Modelling, Molecular Mechanics, Multidimensional Non-linear Optimizations, Bioinformatics, 3d Modelling & Computer Graphics, Object Oriented Application Design & Development, Large-scale computer simulations, Application Design & Implementation, Healthcare System Integration. Furthermore, he exhibits more than 25 years expertise in computer programming languages, application programming interfaces and software engineering technologies including C++/C, Java EE (aka Jakarta EE), Python, PL/SQL, React.JS, Javascript, .Net Framework, Oracle Technologies, OpenGL and Cloud Computing Architectures (inc CI/CD & Kubernetes). The majority of his scientific, technical and research effort is coming from software engineering applications using some of the most prominent technologies including Oracle Databases, HL7 APIs, highly scalable application server deployment, asynchronous event driven frameworks and modern application development frameworks. During the period of his research activities, he participated in more than 30 European and National funded projects. An active field of technical development concerns the design and implementation of co-operative mobile Health-based ecosystems that integrate medical sensors, biosensors with clinical data into the cloud including distributed computing tailored by AI technologies. Intercommunications between software platforms and medical sensors is an active field of activities that are performed regarding the establishment of big data orchestration and analytics. Google Scholar

Dr. Eleni I. Georga received the B.Sc. and M.Sc. degrees from the Department of Computer Science (at University of Ioannina), and her Ph.D. from the Department of Materials Science and Engineering, University of Ioannina, Greece. Her research is focused on the development of data-driven models for short-term glucose prediction in patients with type 1 diabetes based on physiological compartmental models, machine learning techniques and time series analysis. Her research interests include biomedical informatics, machine learning, data mining and mobile computing. She has published 1 book chapter, 3 papers in international refereed journals and 11 papers in international conference proceedings. Google Scholar

Marina Georgoula holds an Integrated Master’s degree in Electrical and Computer Engineering, graduating from the ECE department, University of Patras, Greece in 2019. Her expertise is in Biomedical Engineering, reinforced by her completion of an MSc degree in ‘Translational Engineering in Health and Medicine’ from the School of Electrical & Computer Engineering at the National Technical University of Athens, Greece, in 2024. Since 2020 she is collaborating with the Unit of Medical Technology and Intelligent Information Systems in the University of Ioannina, Greece, working as an Engineer specialized in Machine Learning and AI-driven healthcare solutions, contributing to various HORIZON-2020 projects (‘GATEKEEPER’, ‘SAFEPOLYMED’, ‘BIOSTREAMS’, ‘SMARTBEAR’). With a strong foundation in software engineering and data science, her expertise and interest lie in designing ETL processes and ML pipelines, deploying advanced predictive algorithms, and utilizing big data technologies to drive digital healthcare innovations.

Dr. Kostas Tsiouris received his diploma in Electrical & Computer Engineering from the Democritus University of Thrace (DUTH), Greece, in 2013. Since 2014 he is with the Biomedical Engineering Laboratory, School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA) as a PhD candidate. His research interests include biomedical engineering, digital signal processing, computational intelligence and pattern recognition techniques in neuroscience. His main area of research covers the analysis of the Electroencephalogram (EEG) for the detection and prediction of epileptic seizure events. Since 2013 he is also a member of the Unit of Medical Technology & Intelligent Information Systems, Department of Materials Science and Engineering of the University of Ioannina. Google Scholar

Dr. Konstadina Kourou is a bioinformatician, with experience in data mining, in the analysis of high-throughput cancer datasets and the development of in silico models, by means of systems biology applications, which can provide insights into the detection of disease states. She received her Bachelor degree from the Department of Informatics from the Ionian University and holds an MSc in Bioinformatics from the King’s College London University. She is currently a Ph.D candidate at University of Ioannina, Department of Biological Applications and Technology and her thesis is entitled “Multiparametric computational methods for modeling cancer diagnosis, prognosis and treatment”. Google Scholar

Dr Vasileios C. Pezoulas received the Diploma degree in Electrical and Computer Engineering from the Technical University of Crete, Chania, Greece in 2015. His diploma thesis focused on the dynamic analysis of brain activity using MEG (magnetoencephalography) signals. In 2017 he received the MSc degree in Electrical and Computer Engineering from the same institute. His research work focused on the functional connectivity analysis of cerebellum using fMRI signals focusing on the application of spatially constrained clustering algorithms and graph theory. During his master studies he also received a scholarship of excellence from the Pancretan Endowment Fund for conducting high-quality research at the Technical University of Crete and an additional scholarship from the Bodossaki Foundation. In 2022 he received his PhD degree in Biomedical Engineering from the Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece. His research work focused on the development and deployment of straightforward methods for the data lifecycle process, including methods for data sharing, data curation, data harmonization, synthetic data generation and data analytics, particularly in the healthcare domain. During his PhD studies he also received a scholarship from the Hellenic Foundation for Research and Innovation (HFRI) for conducting high-quality research in the field of the analysis and processing of big medical and other related data. He has published 87 papers in international peer-reviewed journals (45) and international conference proceedings (42), 1 book chapter and 1 book. His work has received more than 1200 citations (h-index: 16). He has worked in more than 5 research projects funded by the European Union (HarmonicSS (GA: 731944), NEMECYS (GA: 101094323), DIOPTRA (GA: 101096649), FAITH (GA: 875358), IMMUNAID (GA: 779295)) and with companies in the industrial sector (Pfizer). His research interests include data science and machine learning. Google Scholar

Maria Pikou was born in Athens, Greece, in 1981. She received the BSc degree in Economics from the Department of Economics, University of Macedonia, Economic and Social Sciences, Thessaloniki, Greece in 2003 and the MSc degree in Technology and Innovation Management from the University of Sussex, Science and Technology Policy Research Unit (SPRU), Brighton, U.K in 2005. She has worked in several EU and national R&D projects for more than ten years. She has also great experience in organizing international scientific conferences, workshops and she is working as an Assistant Editor for the Journal of Biomedical and Health Informatics, The Institute of Electrical and Electronics Engineers (IEEE – JBHI).

Theofilos Papadopoulos received his Diploma degree in mechanical engineering from the Polytechnic School of Aristotle University of Thessaloniki ,Greece, in 1992. In 1995, he received his “Diplome des Etudes Approfondies” on Decision Support Systems from the University of Paris-Dauphine (in collaboration with Ecole Polytechnique and Ecole des Mines) ,Laboratory for Analysis and Modeling of Decision Support Systems (LAMSADE), Paris. He is currently a Ph.D candidate at the Department of Materials Science and Engineering, University of Ioannina, Greece. Since 2016, he has been with the Unit of Medical Technology and Intelligent Information Systems, University of Ioannina. His research is focused on heart failure modeling based on machine learning techniques and deep learning. He is coauthor of 2 papers in scientific journals and 2 papers in peer-reviewed conference proceedings.

Daphne Katsarou is a PhD candidate in the Department of Biological Applications and Technologies at the University of Ioannina, under the supervision of Professor Costas Papaloukas. Since 2020, she has also been working as a researcher at the “Medical Technology and Intelligent Information Systems Unit” of the Department of Materials Science Engineering at the University of Ioannina, participating in European research projects. In 2018, she received her diploma from the Department of Materials Science Engineering at the University of Ioannina. In 2023, she participated with a scholarship in the “20th International Summer School on Bio-X,” which took place in Chania from June 4-10, 2023. The key topics included data science and engineering in medical imaging, precision medicine, digital health, and neural systems. That same year, she also attended, with a scholarship, the “Bootcamp 2023 IoT & AI for Sustainable Global Health and Wellbeing” at Jesus College, Cambridge (UK) from August 21 to September 9, 2023, where participants worked in teams to develop innovative solutions to real-world problems in the areas of the basic principles of the ‘Internet of Things,’ Enabling Technologies, Artificial Intelligence (AI), and Hackathons. As part of her doctoral dissertation, her work has been published in global and European conferences, such as EAI PervasiveHealth 2022 – 16th EAI International Conference on Pervasive Computing Technologies for Healthcare, 44th International Engineering in Medicine and Biology Conference, 16th International Conference on Advanced Technologies & Treatments for Diabetes, 23rd International Conference on Bioinformatics and Bioengineering (BIBE), and 24th European Congress of Endocrinology.

Dimitris I. Zaridis graduated with a diploma in Electrical Engineering and Computer Science from Democritus University of Thrace. Currently, he is a PhD Candidate in “Big Data in Healthcare” while he is deeply involved in Medical imaging and specifically in MR image enhancement to improve the performance of AI algorithms and Prostate Zonal automatic segmentation and in Automatic Bi-Parametric MR Lesion Segmentation. Furthermore, he is optimizing machine learning processes, from data curation, Machine Learning models deployment and models’ performance monitoring, utilizing Machine Learning operations tools such as Docker and MLFlow, with a strong foundation in Python, Tensorflow, and Scikit-learn. He has authored more than 24 scientific studies in peer-reviewed Journals and Conferences while he has been  also awarded the best student paper award at the 21st IEEE International Conference on BioInformatics and BioEngineering.

Stavroula Tassi was born in Corfu in 1994. She received her Diploma (five-year program) from the Department of Electrical and Computer Engineering at the University of Patras in 2019. She is currently pursuing her PhD at the Department of Mechanical Engineering and Aeronautics, at the University of Patras. She has also been collaborating with the Unit of Medical Technology and Intelligent Information Systems (MEDLAB), at the University of Ioannina since 2020. Her research interests include machine learning, network science, biomedical engineering, and data science. Recently, she has been focusing on collaborative interactions in high-dimensional data, hypergraph analysis, and diagnostic and predictive models.

Orestis Gkaintes was born in 1997 and raised in Ioannina, Greece. He completed his Bachelor’s and Master’s degrees in Mechanical Engineering at the University of Thessaly, Greece, from 2015 to 2020. In 2020, he became a Ph.D. candidate in the Orthopaedic Biomechanics Department at the Medical School of the University of Ioannina. In the same year, he began collaborating as a researcher with MedLab, located within the School of Material Science and Engineering at the University of Ioannina. His research primarily focuses on CAD modeling and computational mechanics for surgical techniques.

Konstantina-Eleni Tsarapatsani received her degree in Materials Science Engineering from the Polytechnic School of the University of Ioannina in 2021. She is currently working on her PhD thesis on the processing and analysis of big medical data at the School of Electrical Engineering of Engineering and Computer Engineering of the National Technical University of Athens. At the same time, she is working on the European Union’s Horizon 2020 research and innovation programs (TIMELY and TO_AITION) as a member of the Unit of Medical Technology and Intelligent Information Systems of the Department of Materials Science and Engineering, University of Ioannina. Her research focuses on leveraging medical data, using machine learning and deep learning algorithms, targeting early prediction and risk assessment of cardiovascular events, ultimately supporting clinical decisions. K.H. Tsarapatsani has currently 15 publications on international conferences and journals and in nine conference papers is the first author.

Ourania Ntousi received her Diploma from the Department of Materials Science Engineering, University of Ioannina, Greece, in 2021, with a thesis based on the Prediction of atherosclerotic disease progression with the use of computational modeling in patients with non-invasive imaging of the arteries (CTCA). She is currently a Ph.D. student at the Department of Biological Applications and Technology – University of Ioannina, Ioannina, Greece. She is also collaborating with the Unit of Medical Technology and Intelligent Systems, University of Ioannina, Ioannina, Greece. Her research field focuses on biomedical engineering, computational modeling and other methods associated with bone regeneration through matrices known as scaffolds.

Konstantinos Mavrokotas is a Ph.D. Candidate and Research Associate based in Ioannina, with expertise in machine learning and personalized dietary models. He has contributed to the MedDietAgent project (June 2022 – December 2023), focusing on developing machine learning models for personalized dietary recommendations and decision-making, and is currently working on the BioStreams project (since January 2024) on the development of ‘Common Data Information Models.’ His Ph.D. research, ongoing since June 2023, aims at creating artificial intelligence models for personalized dietary protocols based on biological mechanisms. Konstantinos holds a Bachelor’s Degree in Materials Science Engineering (2011-2018) and a Master’s Degree in Advanced Materials Technologies (2018-2020) from the University of Ioannina. His Master’s thesis focused on population segmentation, nucleus detection, and boundary determination in cell images from thin prep pap tests. He is fluent in Greek and English, has basic knowledge of French, and possesses strong technical skills, including proficiency in Microsoft Office, Adobe Reader, Google Drive, MATLAB, and Python, with experience in rule-based systems, object-oriented programming, machine learning (supervised and unsupervised), and reinforcement learning.

Evita Karapintzou graduated in 2022 with a degree in Materials Science Engineering from the Polytechnic School of the University of Ioannina, where she completed her thesis on “Computational modeling of coronary arteries using CTCA and prediction of atherosclerotic disease progression”. Currently, as a PhD candidate, she is focusing on the development of computational models using wearable devices for patient condition assessment in the Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece. She also collaborates with the Unit of Medical Technology and Intelligent Information Systems of the Department of Materials Science and Engineering, University of Ioannina.

Grigorios Kotoulas received his Diploma in Materials Science Engineering from the University of Ioannina and is currently a PhD candidate at the same department. He collaborates with the Laboratory of Medical Technology and Intelligent Information Systems (MEDLAB) and the Institute of Technology and Research (FORTH) in the field of computational modeling using in silico methods. He has participated in various national research projects such as CleverBalloon and Biobon3D, for which he has developed advanced computational models. Specifically, he has worked on the computational analysis of the mechanical properties of endoprostheses used in total hip arthroplasty. Additionally, he has studied the effectiveness of balloon expansion in 3D reconstructed coronary arteries, and the controlled drug release from the balloon surface to the arterial wall has also been evaluated.

Adam D. Kypriadis was born in Thessaloniki, Greece, in 1994. He received his B.Sc. degree in Mathematics from the University of Ioannina, Greece, and his M.Sc. degree from the Department of Computer Science and Engineering at the same institution, where he is currently pursuing a Ph.D. in Computational Optimization and Modeling. His research focuses on optimization techniques, and mathematical modeling of real-world problems, while his broader research interests include applications in the scientific fields of artificial intelligence, data science, and operations research.

Dimitra G. Triantali is a Ph.D. candidate at the Department of Computer Science and Engineering, University of Ioannina. She holds a B.Sc. degree in Mathematics with specialization on Statistics, Probability Theory, and Operations Research, as well as an M.Sc. degree on Data Science and Engineering, both from University of Ioannina. Her research is focused on computational optimization and data-driven operations research. Her research has been published in established scientific journals and international conferences. Furthermore, she has actively participated in research projects and collaborative groups at the University of Ioannina.

Kosmas Apostolidis was born and raised in Ioannina, Greece. He graduated from the department of Computer Science and Engineering from the University of Ioannina with an integrated MSc degree, where his diploma thesis focused on the “Analysis of Banned Submissions in the Coronavirus Subreddit on Reddit.” In 2024, he began pursuing a PhD in the Department of Materials Science and Engineering at the same university, with a research focus on the Trustworthy AI domain.

Angeliki Botoni received her diploma degree from the Department of Materials Science Engineering of the University of Ioannina in 2024. She is currently working on her Ph.D. in the same department. Her research involves implementing machine learning and deep learning models trained on medical data, utilizing large language models (LLMs).

Mohammed A. AboArab is a Ph.D. candidate and Marie Skłodowska Curie Research Fellow at the ITN “DECODE” project, MedLAB, University of Ioannina, Greece (2022–present). He specializes in medical image processing, 3D visualization, and software development, with a focus on advancing machine learning models for medical applications. Prior to his doctoral studies, he served as an assistant lecturer at the Electronics and Electrical Communications Engineering (EEC) Department, Faculty of Engineering, Tanta University, Egypt (2021–2022). He earned his master’s degree in biomedical engineering in 2021 from the EEC Department at Tanta University, where his thesis, titled “A Novel Image Registration Technique in Medical Applications,” laid the foundation for his ongoing research. AboArab received his bachelor’s degree in Electronics and Electrical Communications Engineering with honors in 2017, ranking as the top student in his class. From February 2018 to March 2019, AboArab joined the Egyptian armed forces and was promoted to the rank of corporal. AboArab’s research interests lie in cutting-edge medical technologies, particularly in software solutions for imaging analysis and registration.

Miloš Anić obtained his bachelor degree from the Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia as well as his master’s degree, defending the thesis entitled “Application of deep learning for detection of lungs” at the same faculty. As of 2017, he has been employed with Bioengineering Research and Development Center (BioIRC) where he began his research within international projects. Starting from 2018, he became a technical assistant at the Journal of Serbian Society for Computational Mechanics. In 2019, after starting his PhD studies at Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia, he received the title of junior research assistant and is actively employed at national and international projects. As of November of 2019, he has been employed at the Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia at the position of junior research assistant and as of 2022 he is employed at the position of research assistant. As of April 2023, he is employed at University of Ioannina, Ioannina, Greece as part of the international project DECODE GA 956470 and PhD program. His main research topics include artificial intelligence, more specifically, deep learning, and image processing using open cv.

Dr. Vasilis D. Tsakanikas is an expert in computer science with a PhD from London South Bank University. His work focuses on edge computing, artificial intelligence, and biomedical signal processing. Over the years, he has led and contributed to numerous EU-funded research projects, such as ‘Telerehab_DSS’ and ‘Holobalance,’ and published extensively in top-tier journals and conferences. HIs research blends cutting-edge technology with practical applications, particularly in healthcare and IoT environments.

Eugenia Mylona is a Medical Physicist with a PhD in Medical Image Processing and Predictive Modeling of Radiotherapy Outcomes from the Laboratoire Traitement du Signal et de l’Image (LTSI) of the University of Rennes 1 in France (2019). Her research career includes involvement in competitive grants and collaborative projects, with working experience at renowned institutions such as the Sir Charles Gairdner Hospital, the University of Western Australia and the IRCCS National Cancer Institute in Milan. She also served as a Research Engineer at the Centre Léon Bérard cancer center in France. Since 2020, she has been a researcher at the Medical Technology and Intelligent Information Systems Unit (MedLab) of the University of Ioannina, participating in several European projects such as the Procancer-I, EUCAIM, BOUNCE and RadioVal. Her research interests include application of medical physics, artificial intelligence, medical image processing, health informatics, and predictive modeling with application in cancer diagnosis and treatment. She has over 50 publications in prominent journals and conferences.

Dr. Vasiliki T. Potsika received the Electrical and Computer Engineering Diploma from the Aristotle University of Thessaloniki, Thessaloniki, Greece, in 2010 and the PhD from the Department of Materials Science and Engineering, University of Ioannina, Greece, in 2017. Since 2010, she has been working at the Unit of Medical Technology and Intelligent Information Systems of the University of Ioannina in research projects in the field of biomedical engineering funded by the European Commission and national resources. Specifically, he has participated in four (4) national and eight (8) EU-funded projects, while in 2014 she received a scholarship from the IKYDA-DAAD Program. From 2016-2018 she served as Editorial Assistant and from 2019 as a Managing Editor of the IEEE Journal of Biomedical and Health Informatics. She has more than 80 publications in scientific journals, conferences and books. Her research interests include biomechanics, robotics, the development of intelligent information systems, the use of artificial intelligence in medical applications, computational modeling of cardiovascular and musculoskeletal diseases. Google Scholar

Georgia KaranasiouSenior Researcher and Technical Project Manager with extensive experience in software development, bioinformatics, artificial intelligence, decision support systems, and big data analytics. Proven ability to lead international, multi-million euro projects, specializing in healthcare technology and in silico modeling. Certified Project Management Professional with a strong academic foundation, holding a Bachelor’s in Mechanical Engineering and Aeronautics and a Master’s in Materials Science and Engineering. Skilled in delivering innovative R&D initiatives within the EU framework, with expertise in healthcare technology development.

Dr. Dimitris Gatsios, graduated from the Department of Computer Science of the University of Ioannina in 2004. He has worked as software engineer and researcher for the University of Ioannina until 2006 for national projects. He then worked for 2 years as a researcher for University of Patras in METABO (ICT, FP7) and RIGHT (IST, FP6) projects. From July 2008 to July 2012 he worked for CTI and was the technical manager for the VPH2 project (ICT, FP7). He returned in Ioannina in September 2012 and worked for the University in the Telecardiology project (Interreg GR-AL). Now he is working for FORTH-IMBB in Micro (Interreg GR-IT) cross-border project and for University of Ioannina in PD_manager (PHC, Horizon2020). He has a solid background and very good knowledge of the state of the art in the fields of e-health, health ecosystems, EHR applications, collaboration tools, medical informatics, knowledge management, semantics, data mining and medical e-learning.

Dr. Nikolaos S. Tachos holds both a Diploma in Mechanical Engineering and a Ph.D. from the Department of Mechanical Engineering and Aeronautics at the University of Patras. He currently serves as a Research Associate at the Unit of Medical Technology and Intelligent Information Systems within the Department of Materials Science and Technology at the University of Ioannina. Additionally, he is a Postdoctoral Fellow at the Foundation for Research and Technology – Hellas (FORTH). Dr. Tachos has contributed extensively as a postdoctoral researcher and project manager in numerous national and European-funded Research and Innovation Actions (RIA) and Innovation Actions (IA) projects, particularly in the domain of Biomedical Technology. His portfolio includes key projects such as SEEFAR, SILICOFCM, PROCANCER-I, EUCAIM, RADIOVAL, FAITH, SMARTINSOLE, REHABOTICS, among others. His primary research interests lie in the development and application of advanced methodologies for the processing and analysis of large-scale medical and related data. His work focuses on leveraging cutting-edge artificial intelligence techniques for data analysis, along with computational modeling in the field of Biomedical Engineering. Dr. Tachos is also a highly experienced specialist in regulatory affairs, particularly in the Medical Devices Regulation (MDR) and Medical Devices Directive (MDD) for medical device software and Software as a Medical Device (SaMD). He has a proven knowledge in projects that navigate the transition from MDD to MDR, ensuring full regulatory compliance and achieving successful certifications for SaMD products. His expertise encompasses regulatory strategy, software risk analysis, quality management systems (ISO 13485), and the preparation of technical documentation for CE marking.

Vassiliki I. Kigka was born in Ioannina, Greece, in 1992. She received the Diploma degree (diploma of Computer Engineer- 5 years equivalent to Meng.) in Computer Engineering and Informatics from the University of Patras, Greece, in 2015. She holds a Master of science in Advanced Materials with Specialisation in Biomaterials & Biomedical Engineering from the Department of Material Science, University of Ioannina, Greece. She received Medical Doctor degree in July 2023, from Medical school, University of Ioannina, Greece. In May 2022, she obtained a scholarship from the National Scholarships’ Foundation (IKY, Greece) for the finalization of her Phd thesis, entitled Predictive Modeling of atheromatic plaque growth and in November 2023, she has finalized her PhD thesis. Since 2016 she is a research assistant at the Unit of Medical Technology and Intelligent Information Systems at the Department of Computer Science of the University of Ioannina and has participated in various European projects. Her research interests include medical image processing, medical data mining and biomedical engineering.

Dr. Panagiotis K. Siogkas graduated from the Department of Mechanical Engineering and Aeronautics of the Polytechnic School of the University of Patras in 2009. The title of his thesis was “Acoustic signal emission on plates: numerical simulation”. In 2018 he received his PhD from the Department of Materials Science Engineering of the University of Ioannina. The subject of his thesis was “Blood flow modeling in arteries with deformable walls”. His research Interests include the fields of biomedical engineering and computational fluid mechanics, with particular specialization in the flow of biological fluids in coronary and carotid arteries, the calculation of innovative hemodynamic markers (smartFFR), as well as the development of predictive models for the progression of atherosclerosis, as well as for the possible occurrence of future cardiovascular events. He has participated in three (3) national and eight (8) European projects, has a certified teaching experience of three academic years at the Department of Materials Science Engineering of the University of Ioannina in four courses and has published more than 90 research articles in scientific journals, conference proceedings and books (Google Scholar h-index: 17). He has participated in the organization of international conferences (IEEE BHI & BSN 2022). Since 2009 he has been a member of the Unit of Medical Technology and Intelligent Information Systems of the Department of Materials Science Engineering of the University of Ioannina. Google Scholar

Ioannis Pappas received his Diploma Degree (Integrated Master) in Computer Engineering and Informatics from the University of Patras, Greece, as well as his Master’s Degree (MSc) in Computer Science and Technology. He has extensive experience in software development, particularly in cloud technologies, healthcare applications, and data management systems. A strong track record of contributing to research projects in academic settings, focusing on big data analytics, personalized healthcare, and real-time simulations. Skilled in developing web applications, databases, and backend systems, with a keen interest in open-source technologies.

Dimitrios Pleouras is a Mechanical Engineer with a diploma from the University of Thessaly. He holds a Master’s degree in Materials Science and Technology from the University of Ioannina. His professional experience includes working as a researcher at the Foundation for Research and Technology-Hellas (FORTH) and the Research Committee of the University of Ioannina, where he participated in major European and Greek projects such as SMARTool, InSilc, BioCoStent, Taxinomisis, Rehabotics, and AITION. Within the framework of these projects, he specialized in developing mathematical models and perfoming simulations for atherosclerotic plaque growth, deployment of stents in 3D reconstructed arteries, degradation of biodegrading stents and drug release. He has worked with software such as Ansys, Matlab, OpenFoam, Paraview, Autocad and Solidworks, and has developed programming skills in languages like Java, C, C++, and Python. He has published over 20 scientific papers in international journals and conferences, focusing on computational methods for predicting and analyzing atherosclerotic plaque growth, biodegradable stent deployment, and controlled drug release. His work also extends to areas such as statistical models for data augmentation and structural analysis of complex structures, stents, and bone scaffolds.

Maria Roumpi received her Diploma degree in Materials Science & Engineering in 2013 and her PhD in Biomaterials science & Biomedical Engineering in 2019 from University of Ioannina, Greece. Her thesis focused on the design, development and characterization of cardiovascular biomaterials for preventing right ventricular remodeling after pulmonary hypertension induced, in terms of experimental research and also computational modeling for the evaluation of the biomaterial performance. Since 2020 she has participated in more than 6 R&D European and National funded projects as a member of the Unit of Medical Technology & Intelligent Information Systems, Department of Materials Science and Engineering of the University of Ioannina and Biomedical Research Institute (BRI)-FORTH, mainly focused on materials/ biomaterials and tissue engineering research.

Gkois Georgios Received his degree from the Software Engineering department of Aberystwyth University, Wales, UK in 2000 and holds a Master’s Degree in Computer Animation from Bournemouth University, UK in 2001. Since 2007 he has been working as a Senior Developer at the Medical Technology and Intelligent Information Systems Unit of the University of Ioannina, in European and national projects in the field of Biomedicine. Roles he has successfully completed include user requirements gathering, system architecture design, full-stack software development, software development team management, and implementation of DevOps and CI/CD processes. He has extensive experience in developing systems such as cloud platforms, integrating IoT sensors, collecting and managing of medical big data, integrating algorithms into cloud technology platforms offering comprehensive solutions to monitor and improve patient health.

Christos Androutsos graduated from the Department of Computer Science and Biomedical Informatics at the University of Thessaly. He is currently employed as a Software Engineer at the Unit of Medical Technology and Intelligent Information Systems at the University of Ioannina. He has demonstrated significant expertise and interest across a diverse range of technological and scientific fields, with his research activities covering multiple domains. His primary research interests include human activity recognition utilizing wearable sensors, analysis of multimodal medical data employing AI-based techniques, and cybersecurity in connected medical devices.

Dimitrios G. Boucharas is a data analyst, AI engineer, and Ph.D. candidate with a strong foundation in mathematics, holding a Bachelor’s degree from the University of Ioannina and a Master’s in Computer Science and Engineering. Since 2020, he has been a researcher at Medlab, where his work focuses on gait analytics, biomedical data processing, and leveraging AI to extract meaningful insights from complex datasets. Dimitrios’s expertise spans machine learning, statistical analysis, and deep learning, with proficiency in Python libraries such as numpy, pandas, and keras. His deep mathematical knowledge enables him to apply advanced techniques to healthcare data, seamlessly integrating cutting-edge research with practical MLops solutions in EC and nationally funded projects. Since 2022, he has taken on leadership roles in various EC projects as a work package or task leader, successfully managing deadlines, submitting key deliverables, and co-authoring grant proposals to drive impactful results in the healthcare domain.

Vasileios Loukas received his Engineering Diploma from the Department of Electrical and Computer Engineering at the University of Thessaly and his Master’s degree in Computer Science from Uppsala University, Sweden, specializing in high-performance computing and computational systems security. He works on computational disease modeling (cardiovascular disease and dementia), organ modeling (arteries, aortas, biomechanical vessels), and performance modeling of medical devices (coronary and peripheral stents and balloons). His expertise includes designing and developing high-performance systems for supporting Digital Clinical Trials and implementing AI-driven methods for predictive risk modeling and dementia progression. He has participated in more than 10 international and national research projects and has over 20 publications in prestigious international conferences and journals.

Vasiliki Chrysanthi Tsitsou is an experienced economist with expertise across sectors including banking, medical devices, real estate, and marketing. A member of the Economic Chamber of Greece, she has worked on complex projects such as bank mergers, regulatory compliance, and portfolio management. Vasiliki holds a BSc in Economics and is pursuing an MSc in Mathematical Engineering and a MSc in Risk Management and Compliance. She is recognized for her strong analytical, organizational, and problem-solving skills, as well as her passion for continuous learning.

Stavros Tzortzis is a prominent computer science expert with over 25 years of experience, currently fostering innovation at the Unit of Medical Technology and Intelligent Information Systems at the University of Ioannina. Stavros specializes in Linux, shell scripting, PHP, HTML, CSS, JavaScript, web development, and network management, demonstrating exceptional problem-solving and systems integration skills. He is adept in programming languages like C++, Java, and Visual Basic, and possesses expertise in database management using MySQL, PostgreSQL, and SQLite. His comprehensive expertise encompasses network security, TCP/IP, server management, Unix, web services, XML, Git, CentOS, and Linux system administration. Stavros’ multifaceted abilities and entrepreneurial drive have garnered him acclaim in research settings and his enterprises, demonstrating his dedication to technological superiority and innovation, consistently balancing avant-garde and performance-oriented solutions.

Evgenia Lampropoulou holds a Bachelor’s degree in Materials Science from the University of Patras and an Interinstitutional Master’s degree in Applied Optoelectronics, awarded jointly by the University of Patras and the National Centre for Scientific Research Demokritos. Since 2024, she has been collaborating with the Unit of Medical Technology and Intelligent Information Systems at the University of Ioannina as a junior researcher. Her research interests encompass a range of topics such as biomedical engineering and informatics, with a special focus on data harmonization and data engineering within the context of healthcare and biomedical applications.

Angeliki Iosif was born in Ioannina, Greece, in 1994. She received the Diploma degree in Materials Engineering in 2017, and the MSc degree in Chemistry and Technology of Materials in 2021, from the University of Ioannina, Greece. She is currently a researcher at the Unit of Medical Technology and Intelligent Information Systems of the University of Ioannina. She has contributed to several European projects mainly focused on medical data mining, including the analysis of high-throughput cancer datasets.

Kalantzopoulos Charalampos Currently working as a Biomedical Engineer and Software Developer at FORTH, with expertise in medical imaging processing, DICOM, DevOps, and MLOps. Proficient in Python, Docker, and experienced in setting up on-premise cloud infrastructure. A team player with a strong problem-solving mindset, working in a multi-disciplinary environment and I am always ready for new challenges. I hold an MSc in Biomedical Engineering from KU Leuven and a diploma in Production Engineering and Management from TUC.

Chrysa C. Tsimperi received her degree in Electrical and Computer Engineering in 2022 from the Aristotle University of Thessaloniki. In her thesis, she created a biophysically realistic astrocyte model studying the pathophysiology of Multiple Sclerosis in collaboration with Rutgers University. In 2024 she received a master’s degree in Biomedical Engineering from the School of Medicine of the Aristotle University of Thessaloniki. She is a PhD Candidate at the University of Pompeu Fabra – Hospital Del Mar Research Institute in the Laboratory of Systems Neurology and Neurotherapies, studying the rehabilitation of spinal cord lesions in Multiple Sclerosis. Since February 2023, he has been working as a Scientific Associate at the Medical Technology and Intelligent Information Systems Laboratory (MEDLAB) of the University of Ioannina. She participated in national and international innovation and entrepreneurship competitions, including Yale University, receiving important distinctions. She has held leadership positions in the IEEE Engineering in Medicine and Biology Society (EMBS), at Microsoft and has been recognized with numerous awards, such as the Best Representative Award from IEEE Entrepreneurship Week 2021.

Sokratis S. Dimos received his diploma degree in Materials Engineering from the Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece. His diploma thesis title is “Simulation of the atherosclerotic plaque progression in three-dimensional reconstructed carotid arteries”. He is a member of Technical Chamber of Greece, under the capacity of a Chemical Engineer. He currently works as a research fellow at the Unit of Medical Technology and Intelligent Information Systems at the University of Ioannina. His research interests include blood flow modelling in arterial segments.

Konstantinos Maglaras holds a Bachelor’s degree in Computer Science from the Department of Computer Engineering at the University of Thessaly. He is currently employed as a Software Developer at the Unit of Medical Technology & Intelligent Information Systems at the University of Ioannina. In this capacity, he focuses on the development of desktop, web, and mobile applications tailored to the medical technology and healthcare sectors. His responsibilities include close collaboration with medical professionals, data scientists, and other stakeholders to deliver secure, scalable, and innovative software solutions. In addition to his professional role, he has contributed to various open-source projects, notably Elixir School, where he has enhanced his expertise in functional programming and collaborative software development. His technical skills cover a variety of programming languages in web development frameworks and mobile development platforms. Furthermore, he has experience in desktop application development, database management, and secure software development practices.

Panagiotis Lionas received his Integrated Master’s in Electrical and Computer Engineering from the University of Patras, Greece. His thesis, “Emotion Recognition from EEG Signals,” focused on developing innovative methods for analyzing brainwave data. He is currently a research fellow at the Unit of Medical Technology and Intelligent Information Systems at the University of Ioannina. His research interests include the development of AI models, particularly in applications related to medical technology.

Alexandros Mitsis is a Mechanical Engineer with a diploma from the Technological Educational Institute of Western Macedonia. He is currently working as a researcher at the Unit of Medical Technology and Intelligent Information Systems at the University of Ioannina. Additionally, he is pursuing a master’s degree in “Product Design and CAD/CAM Systems,” focusing on industrial design and 3D printing, at the Department of Product and Systems Design Engineering, School of Engineering, University of Western Macedonia.

Martha V. Nousi was born in Ioannina,Greece,in 1994. She is a skilled software developer with expertise in front-end technologies and a background in technical and IT support. She has been a research assistant at the Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, since 2022. Her work focuses on programming and is specialized in front-end technologies and solutions and she has undertaken the technical and IT support with the medical professionals across various projects. Her research interests involve programming and development of biomedical applications such as contributing to the development of cloud platforms and IoT sensor integration for medical data collection and management.

George L. Petsis was born in Lamia, Fthiotida in 1990. He received his diploma degree in Physics from the Department of Physics, University of Ioannina, Greece. He holds a Master’s Degree in Chemistry, specializing in Physical and Theoretical Chemistry of Nanostructures and Environmental Systems. His master’s thesis on the “Theoretical study of the microhydration of 1-chloro and 2-chloro ethanol” was published as a cover for the International Journal of Quantum Chemistry Simulation in 2019.He is currently studying Computer Science and Enginneering in the
University of Ioannina.

Konstantinos P. Exarchos, BSc, MD, PhD was born in Ioannina, Greece, in 1983. He received the BSc degree in Computer Science from the University of Ioannina in 2006, the PhD and the MD degree from the Medical School of the University of Ioannina, in 2011 and 2015, respectively. His PhD thesis is entitled “Processing and analysis of biological data using intelligent computational methods”. During his studies, he has received several scholarships and fellowships from the State Scholarship Foundation as well as other national and international organizations. He is currently post-doc researcher at the Unit of Medical Technology and Intelligent Information Systems and Academic fellow at the Technological Education Institute of Epirus. He is also working as a medical doctor in the National Healthcare Service. His research interests include medical informatics, biomedical engineering, bioinformatics and decision support systems in healthcare. Dr Exarchos has worked in several R&D projects and has published more than 30 papers in scientific journals, conferences and books. Google Scholar

Dr Vasilios Protopappas received the Diploma degree in Electrical and Computer Engineering from the National Technical University of Athens, Greece in 1999, the M.Sc. in Bioengineering from the University of Strathclyde, Glasgow, Scotland in 2000 and the PhD degree in Biomedical Engineering from the University of Ioannina, Greece in 2006. From 2008 until 2011, he worked as a post-doc researcher and project manager of research projects at the University of Patras, Greece. He has performed research and development in the field of biomechanics, computer modelling of biological systems, wearable ultrasound devices for monitoring and therapy of musculoskeletal injuries, physiological compartmental modelling, intelligent medical data analysis, medical prediction systems, diabetes monitoring and control, biophysical treatment and clinical decision support. He has also participated in a number of EU- and national-funded programs related to e-health, clinical decision support systems, intelligent patient monitoring, chronic disease management and e-learning. Dr. Protopappas has published 18 papers in peer-reviewed journals, 4 book chapters, one international patent, more than 50 papers in international conferences and has also received 3 awards from international scientific committees. Google Scholar