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Heahcare
reshaping the industry and making what was once impossible into a tangible reality
Transforming Manufacturing
Transforming Manufacturing
Hello, its me
Serafeim Moustakidis
an AI expert, researcher, entrepreneur and father.
Being an AI enthusiast with a 15-year adventure across multiple AI fields, I've had the chance to publish over 100 scientific papers and lead more than 30 high-impact R&D projects. I'm always on the lookout for innovative solutions to tackle tough challenges. My passion for AI keeps me going, and I'm dedicated to making a lasting impact in various industries. Let's explore the world of AI together!
Focus areas: Healthcare, Energy, Agriculture, Environment, Manufacturing, Security and Safety, Construction and building technology, Infrastructure and Transportation
Key expertise: Explainable AI, data mining, deep learning, signal processing, ethics in AI, AI fairness
Resume
Resume
Work
experience
2019 - present Co-founder / CTO at AIDEAS
leading an innovative team that is at the forefront of AI-driven advancements in various sectors including healthcare, energy, and manufacturing
2020 - present AI strategist / Consultant
guiding industrial and research organizations to adopt and integrate advanced AI technologies, enabling them to optimize processes, accelerate innovation, and gain a competitive edge in their respective fields
2012 - 2018 Lead scientist / Project manager
overseeing cross-functional teams, directing research initiatives and driving the successful execution of complex AI projects in various organizations:
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CITY University London
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Center of research and Technology Hellas
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University of Thessaly
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National Technical University of Athens
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CEnter for REsearch and TEchnology THessaly
2006 - 2011 Research Associate
At Aristotle University, as a Research Associate, engaging in pioneering research projects, while at TEI of Thessaloniki, as a dedicated Lecturer teaching Signal Processing
Education
2005 - 2010 PhD in Computational Intelligence and Machine Learning
Aristotle University of Thessaloniki (AUTH), grade: 10/10
1999 - 2004 MSc in Electrical Engineering and Computer Science
Aristotle University of Thessaloniki (AUTH), grade: 7.8/10
Skills
& Expertise
Project Management & Coordination
As an accomplished project manager and coordinator, I have extensive experience in leading and managing EU-funded H2020 projects. I have successfully led multiple projects from idea identification to submission, negotiation, grant agreement preparation, implementation, and reporting.
Proposal Writing and European Funding
With an impressive background in proposal writing since 2010, I have played a significant role in crafting over ten successful proposals. As a highly-regarded EU funding expert, I have delivered valuable consultancy services to clients across Europe and offered vital support to professors in their research endeavors.
AI Education and Public Speaking
I am actively involved in AI education, leveraging my extensive teaching experience at esteemed institutions to educate students on AI-related subjects. In addition to my academic contributions, I frequently participate in speaking engagements at various events and conferences, sharing my knowledge and insights about AI with a wide audience. I find great joy in connecting with others and sparking their interest in this exciting field.
Computational
Intelligence
As an expert in Computational Intelligence, I have developed a broad range of skills and knowledge, with a particular focus on deep learning networks and Explainable AI. My expertise includes recurrent neural networks (RNNs), convolutional neural networks (CNNs), attention-based networks, generative AI, and explainable AI techniques. I believe that developing AI models that are transparent and understandable to humans is crucial for their successful integration in real-world applications. I am also skilled in data mining, feature engineering, and data fusion techniques. I am passionate about exploring new ideas and approaches in AI and stay up to date with the latest advancements in the field. With my expertise in Computational Intelligence and Explainable AI, I aim to drive innovation and bring value to the projects I work on.
Publications
Publications
2023
Chiras, D., Stamatopoulou, M., Paraskevis, N., Moustakidis, S., Tzimitra-Kalogianni, I., & Kokkotis, C. (2023). Explainable machine learning models for identification of food-related lifestyle factors in chicken meat consumption case in northern Greece. BioMedInformatics, 3(3), 817–828. doi:10.3390/biomedinformatics3030051 Gkantzios, A., Kokkotis, C., Tsiptsios, D., Moustakidis, S., Gkartzonika, E., Avramidis, T., … Vadikolias, K. (2023). From admission to discharge: Predicting National Institutes of Health Stroke scale progression in stroke patients using biomarkers and explainable machine learning. Journal of Personalized Medicine, 13(9), 1375. doi:10.3390/jpm13091375 Kampaktsis, P., Bohoran, T. A., McLaughlin, L., S, J. L., Liu, Z., Moustakidis, S., … Giannakidis, A. (2023). An Attention-Based Deep Learning Method for Right Ventricular Quantification Using 2D Echocardiography: Feasibility and Accuracy. doi:10.22541/au.169155908.88705138/v1 Plakias, S., Moustakidis, E., Mitrotasios, M., Kokkotis, C., Tsatalas, T., Papalexi, M., ... & Tsaopoulos, D. (2023). A Multivariate and cluster analysis of diverse playing styles across European Football Leagues. Journal of Physical Education and Sport, 23(7), 1631-1641. Plakias, S., Moustakidis, S., Kokkotis, C., Papalexi, M., Tsatalas, T., Giakas, G., & Tsaopoulos, D. (2023). Identifying soccer players’ playing styles: a systematic review. Journal of Functional Morphology and Kinesiology, 8(3), 104. Samaras, A. D., Moustakidis, S., Apostolopoulos, I. D., Papageorgiou, E., & Papandrianos, N. (2023). Uncovering the Black Box of Coronary Artery Disease Diagnosis: The Significance of Explainability in Predictive Models. Applied Sciences, 13(14), 8120. Plakias, S., Moustakidis, S., Mitrotasios, M., Kokkotis, C., Tsatalas, T., Papalexi, M., ... & Tsaopoulos, D. (2023). Analysis of playing styles in European football: insights from a visual mapping approach. Journal of Physical Education and Sport, 23(6), 1385-1393. Bohoran, T. A., Kampaktsis, P. N., McLaughlin, L., Leb, J., Moustakidis, S., McCann, G. P., & Giannakidis, A. (2023, June). Right Ventricular Volume Prediction by Feature Tokenizer Transformer-Based Regression of 2D Echocardiography Small-Scale Tabular Data. In International Conference on Functional Imaging and Modeling of the Heart (pp. 292-300). Cham: Springer Nature Switzerland. Moustakidis, S., Plakias, S., Kokkotis, C., Tsatalas, T., & Tsaopoulos, D. (2023). Predicting Football Team Performance with Explainable AI: Leveraging SHAP to Identify Key Team-Level Performance Metrics. Future Internet, 15(5), 174. Samaras, A. D., Moustakidis, S., Apostolopoulos, I. D., Papandrianos, N., & Papageorgiou, E. (2023). Classification models for assessing coronary artery disease instances using clinical and biometric data: an explainable man-in-the-loop approach. Scientific Reports, 13(1), 6668. Plakias, S., Kokkotis, C., Moustakidis, S., Tsatalas, T., Papalexi, M., Kasioura, C., ... & Tsaopoulos, D. (2023). Identifying playing styles of european soccer teams during the key moments of the game. Journal of Physical Education and Sport ® (JPES), Vol. 23 (issue 4), Art 111, pp. 878 – 890. Plakias, S., Moustakidis, S., Kokkotis, C., Tsatalas, T., Papalexi, M., Plakias, D., ... & Tsaopoulos, D. (2023). Identifying soccer teams’ styles of play: a scoping and critical review. Journal of Functional Morphology and Kinesiology, 8(2), 39. Stergiou, K., Ntakolia, C., Varytis, P., Koumoulos, E., Karlsson, P., & Moustakidis, S. (2023). Enhancing property prediction and process optimization in building materials through machine learning: A review. Computational Materials Science, 220, 112031. Ntakolia, C., Moustakidis, S., & Siouras, A. (2023). Autonomous path planning with obstacle avoidance for smart assistive systems. Expert Systems with Applications, 213, 119049. Gkantzios, A., Kokkotis, C., Tsiptsios, D., Moustakidis, S., Gkartzonika, E., Avramidis, T., ... & Vadikolias, K. (2023). Evaluation of Blood Biomarkers and Parameters for the Prediction of Stroke Survivors’ Functional Outcome upon Discharge Utilizing Explainable Machine Learning. Diagnostics, 13(3), 532. Apostolopoulos, I. D., Papandrianos, N. I., Feleki, A., Moustakidis, S., & Papageorgiou, E. I. (2023). Deep learning-enhanced nuclear medicine SPECT imaging applied to cardiac studies. EJNMMI physics, 10(1), 6. Plakias, S., Kokkotis, C., Tsaopoulos, D., Moustakidis, S., Papalexi, M., Giakas, G., & Tsatalas, T. (2023). The effectiveness of direct corners in high level soccer depending on the type and the zone of delivery. Journal of Physical Education and Sport, 23(2), 449-456. Moustakidis, S., Kokkotis, C., & Tsaopoulos, D. (2023). Patient-specific modeling of pain progression: A use case on knee osteoarthritis patients using machine learning algorithms. Digital Human Modeling and Medicine, 805-828. doi:10.1016/b978-0-12-823913-1.00032-4 Kampaktsis, P. N., Siouras, A., Doulamis, I. P., Moustakidis, S., Emfietzoglou, M., Van den Eynde, J., ... & Briasoulis, A. (2023). Machine learning‐based prediction of mortality after heart transplantation in adults with congenital heart disease: A UNOS database analysis. Clinical Transplantation, 37(1), e14845.
2022
Kokkotis, C., Chalatsis, G., Moustakidis, S., Siouras, A., Mitrousias, V., Tsaopoulos, D., ... & Tsatalas, T. (2022). Identifying Gait-Related Functional Outcomes in Post-Knee Surgery Patients Using Machine Learning: A Systematic Review. International Journal of Environmental Research and Public Health, 20(1), 448. Kokkotis, C., Moustakidis, S., Giarmatzis, G., Giannakou, E., Makri, E., Sakellari, P., ... & Aggelousis, N. (2022). Machine Learning Techniques for the Prediction of Functional Outcomes in the Rehabilitation of Post-Stroke Patients: A Scoping Review. BioMed, 3(1), 1-20. Chadoulos, C. G., Tsaopoulos, D. E., Moustakidis, S., Tsakiridis, N. L., & Theocharis, J. B. (2022). A novel multi-atlas segmentation approach under the semi-supervised learning framework: Application to knee cartilage segmentation. Computer Methods and Programs in Biomedicine, 227, 107208. Kopsidas, I., Karagiannidou, S., Kostaki, E. G., Kousi, D., Douka, E., Sfikakis, P. P., Moustakidis, S., ... & Paraskevis, D. (2022). Global Distribution, Dispersal Patterns, and Trend of Several Omicron Subvariants of SARS-CoV-2 across the Globe. Tropical Medicine and Infectious Disease, 7(11), 373. Siouras, A., Stergiou, K., Karlsson, P., Moustakidis, S. (2022). Hybrid object detection methodology combining altitude-dependent local deep learning models for search and rescue operations. Journal of Control and Decision, 1-11. doi:10.1080/23307706.2022.2141358 Papandrianos, N. I., Apostolopoulos, I. D., Feleki, A., Moustakidis, S., Kokkinos, K., & Papageorgiou, E. I. (2022). AI-based classification algorithms in SPECT myocardial perfusion imaging for cardiovascular diagnosis: a review. Nuclear Medicine Communications, 44(1), 1-11. Moustakidis, S., Ntakolia, C., Diamantis, D. E., Papandrianos, N., & Papageorgiou, E. I. (2022). Application and post-hoc explainability of deep convolutional neural networks for bone cancer metastasis classification in prostate patients. Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 3. doi:10.1088/978-0-7503-3603-1ch10 Kokkotis, C., Giarmatzis, G., Giannakou, E., Moustakidis, S., Tsatalas, T., Tsiptsios, D., ... & Aggelousis, N. (2022). An Explainable Machine Learning Pipeline for Stroke Prediction on Imbalanced Data. Diagnostics, 12(10), 2392. Papandrianos, N., Moustakidis, S., Feleki, A., & Papageorgiou, E. (2022, September). Explainable prediction of coronary artery disease in nuclear medical imaging using deep learning. In EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (Vol. 49, No. SUPPL 1, pp. S616-S616). ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES: SPRINGER. Papandrianos, N. I., Feleki, A., Moustakidis, S., Papageorgiou, E. I., Apostolopoulos, I. D., & Apostolopoulos, D. J. (2022). An explainable classification method of SPECT myocardial perfusion images in nuclear cardiology using deep learning and grad-CAM. Applied Sciences, 12(15), 7592. Georgakopoulos, S. V., Tasoulis, S. K., Vrahatis, A. G., Moustakidis, S., Tsaopoulos, D. E., & Plagianakos, V. P. (2022). Deep Hybrid Learning for anomaly detection in behavioral monitoring. 2022 International Joint Conference on Neural Networks (IJCNN). doi:10.1109/ijcnn55064.2022.9892769 Siouras, A., Moustakidis, S., Giannakidis, A., Chalatsis, G., Malizos, K. N., Hantes, M., ... & Tsaopoulos, D. (2022, July). Automated recognition of healthy anterior cruciate ligament in sagittal MR images using lightweight deep learning. In 2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) (pp. 1-8). IEEE. Papandrianos, N. I., Feleki, A., Moustakidis, S., & Papageorgiou, E. I. (2022, July). A Convolutional Neural Network-based explainable classification method of SPECT myocardial perfusion images in nuclear cardiology. In 2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA) (pp. 1-7). IEEE. Kokkotis, C., Moustakidis, S., Tsatalas, T., Ntakolia, C., Chalatsis, G., Konstadakos, S., ... & Tsaopoulos, D. (2022). Leveraging explainable machine learning to identify gait biomechanical parameters associated with anterior cruciate ligament injury. Scientific Reports, 12(1), 6647. Kampaltsis, P., Emfiezoglou, M., Siouras, A., Eynde, J., Moustakidis, S., Doulamis, I. P., ... & Briasoulis, A. (2022). Prediction of 1-year mortality after heart transplantation in adults with congenital heart disease with machine learning models. The Journal of Heart and Lung Transplantation, 41(4), S436. Chadoulos, C. G., Moustakidis, S. P., Tsaopoulos, D. E., & Theocharis, J. B. (2022). Multi-atlas segmentation of knee cartilage by propagating labels via semi-supervised learning. 2022 4th International Conference on Intelligent Medicine and Image Processing. doi:10.1145/3524086.3524098 Moustakidis, S., Kokkotis, C., Tsaopoulos, D., Sfikakis, P., Tsiodras, S., Sypsa, V., ... & Paraskevis, D. (2022). Identifying Country-Level Risk Factors for the Spread of COVID-19 in Europe Using Machine Learning. Viruses, 14(3), 625. Emfietzoglou, M., Siouras, A., Van den Eynde, J., Moustakidis, S., Doulamis, I., Giannakoulas, G., . . . Kampaktsis, P. (2022). A machine learning model for the prediction of 1-year mortality after heart transplantation in adults with congenital heart disease. Journal of the American College of Cardiology, 79(9), 507. doi:10.1016/s0735-1097(22)01498-x Anagnostis, A., Moustakidis, S., Papageorgiou, E., & Bochtis, D. (2022). A Hybrid Bimodal LSTM Architecture for Cascading Thermal Energy Storage Modelling. Energies, 15(6), 1959. Moustakidis, S., Siouras, A., Vassis, K., Misiris, I., Papageorgiou, E., & Tsaopoulos, D. (2022). Prediction of Injuries in CrossFit Training: A Machine Learning Perspective. Algorithms, 15(3), 77. Siouras, A., Moustakidis, S., Giannakidis, A., Chalatsis, G., Liampas, I., Vlychou, M., ... & Tsaopoulos, D. (2022). Knee Injury Detection Using Deep Learning on MRI Studies: A Systematic Review. Diagnostics, 12(2), 537. Kokkotis, C., Ntakolia, C., Moustakidis, S., Giakas, G., & Tsaopoulos, D. (2022). Explainable machine learning for knee osteoarthritis diagnosis based on a novel fuzzy feature selection methodology. Physical and Engineering Sciences in Medicine, 45(1), 219-229.
2021
Chadoulos, C., Moustakidis, S., Tsaopoulos, D., & Theocharis, J. (2021, December). Multi-atlas segmentation of knee cartilage via Semi-supervised Regional Label Propagation. In 2021 5th International Conference on Computer Science and Artificial Intelligence (pp. 57-64). Ntakolia, C., Kokkotis, C., Moustakidis, S., & Tsaopoulos, D. (2021). Identification of most important features based on a fuzzy ensemble technique: Evaluation on joint space narrowing progression in knee osteoarthritis patients. International Journal of Medical Informatics, 156, 104614. Ntakolia, C., Kokkotis, C., Karlsson, P., & Moustakidis, S. (2021). An explainable machine learning model for material backorder prediction in inventory management. Sensors, 21(23), 7926. Ntakolia, C., Kokkotiis, C., Moustakidis, S., & Papageorgiou, E. (2021, November). An explainable machine learning pipeline for backorder prediction in inventory management systems. In 25th Pan-Hellenic Conference on Informatics (pp. 229-234). Briasoulis, A., Moustakidis, S., Tzani, A., Doulamis, I., & Kampaktsis, P. (2021). Prediction of outcomes after heart transplantation by machine learning models. European Heart Journal, 42(Supplement_1), ehab724-0957. Kampaktsis, P. N., Moustakidis, S., Tzani, A., Doulamis, I. P., Drosou, A., Tzoumas, A., ... & Briasoulis, A. (2021). State‐of‐the‐art machine learning improves predictive accuracy of 1‐year survival after heart transplantation. ESC Heart Failure, 8(4), 3433. Dikopoulou, Z., Moustakidis, S., & Karlsson, P. (2021). GLIME: A new graphical methodology for interpretable model-agnostic explanations. arXiv preprint arXiv:2107.09927. Moustakidis, S., Siouras, A., Papandrianos, N., Ntakolia, C., & Papageorgiou, E. (2021, July). Deep learning for bone metastasis localisation in nuclear imaging data of breast cancer patients. In 2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA) (pp. 1-8). IEEE. Kampaktsis, P. N., Tzani, A., Doulamis, I. P., Moustakidis, S., Drosou, A., Diakos, N., ... & Briasoulis, A. (2021). State‐of‐the‐art machine learning algorithms for the prediction of outcomes after contemporary heart transplantation: results from the UNOS database. Clinical Transplantation, 35(8), e14388. Kampaktsis, P., Moustakidis, S., Tzani, A., Doulamis, I. P., Tzoumas, A., & Briasoulis, A. (2021). Prediction of 1-year mortality after isolated orthotopic heart transplantation using machine learning algorithms. Journal of the American College of Cardiology, 77(18), 757. doi:10.1016/s0735-1097(21)02116-1 Moustakidis, S., Kampaktsis, P., Tzani, A., Doulamis, I., Tzoumas, A., Drosou, A., . . . Briasoulis, A. (2021). Machine learning based prediction of 1-year survival after isolated heart transplant. The Journal of Heart and Lung Transplantation, 40(4). doi:10.1016/j.healun.2021.01.1849 Kokkotis, C., Moustakidis, S., Baltzopoulos, V., Giakas, G., & Tsaopoulos, D. (2021, March). Identifying robust risk factors for knee osteoarthritis progression: An evolutionary machine learning approach. In Healthcare (Vol. 9, No. 3, p. 260). MDPI. Ntakolia, C., Kokkotis, C., Moustakidis, S., & Tsaopoulos, D. (2021). Prediction of joint space narrowing progression in knee osteoarthritis patients. Diagnostics, 11(2), 285. Bochtis, D., & Moustakidis, S. (2021). Mobile Robots: Current Advances and Future Perspectives. Innovation in Agricultural Robotics for Precision Agriculture: A Roadmap for Integrating Robots in Precision Agriculture, 1-15. Doulamis, I. P., Tzani, A., Moustakidis, S., Kampaktsis, P. N., & Briasoulis, A. (2021). Effect of Hepatitis C donor status on heart transplantation outcomes in the United States. Clinical Transplantation, 35(4), e14220. Ntakolia, C., Anagnostis, A., Moustakidis, S., & Karcanias, N. (2021). Machine learning applied on the district heating and cooling sector: A review. Energy Systems, 1-30.
2020
Ntakolia, C., Diamantis, D. E., Papandrianos, N., Moustakidis, S., & Papageorgiou, E. I. (2020, November). A lightweight convolutional neural network architecture applied for bone metastasis classification in nuclear medicine: A case study on prostate cancer patients. In Healthcare (Vol. 8, No. 4, p. 493). MDPI. Moustakidis, S., Papandrianos, N. I., Christodolou, E., Papageorgiou, E., & Tsaopoulos, D. (2020). Dense neural networks in knee osteoarthritis classification: a study on accuracy and fairness. Neural Computing and Applications, 1-13. Liakos, K. G., Georgakilas, G. K., Moustakidis, S., Sklavos, N., & Plessas, F. C. (2020). Conventional and machine learning approaches as countermeasures against hardware trojan attacks. Microprocessors and Microsystems, 79, 103295. Ntakolia, C., Kokkotis, C., Moustakidis, S., & Tsaopoulos, D. (2020, October). A machine learning pipeline for predicting joint space narrowing in knee osteoarthritis patients. In 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 934-941). IEEE. Kokkotis, C., Moustakidis, S., Giakas, G., & Tsaopoulos, D. (2020). Identification of risk factors and machine learning-based prediction models for knee osteoarthritis patients. Applied Sciences, 10(19), 6797. Moustakidis, S., Liakos, K., Georgakilas, G., Sketopoulos, N., Seimoglou, S., Karlsson, P., & Plessas, F. (2020). A novel holistic approach for hardware trojan detection powered by deep learning (HERO). Proc. ATTRACT, 20. Kokkotis, C., Moustakidis, S., Papageorgiou, E., Giakas, G., & Tsaopoulos, D. E. (2020). Machine learning in knee osteoarthritis: a review. Osteoarthritis and Cartilage Open, 2(3), 100069. Moustakidis, S., & Karlsson, P. (2020). A novel feature extraction methodology using Siamese convolutional neural networks for intrusion detection. Cybersecurity, 3(1), 1-13. Alexos, A., Kokkotis, C., Moustakidis, S., Papageorgiou, E., & Tsaopoulos, D. (2020, July). Prediction of pain in knee osteoarthritis patients using machine learning: Data from Osteoarthritis Initiative. In 2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA (pp. 1-7). IEEE. Kokkotis, C., Moustakidis, S., Papageorgiou, E., Giakas, G., & Tsaopoulos, D. (2020, July). A Machine Learning workflow for Diagnosis of Knee Osteoarthritis with a focus on post-hoc explainability. In 2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA (pp. 1-7). IEEE. Alexos, A., Moustakidis, S., Kokkotis, C., & Tsaopoulos, D. (2020). Physical activity as a risk factor in the progression of osteoarthritis: a machine learning perspective. In Learning and Intelligent Optimization: 14th International Conference, LION 14, Athens, Greece, May 24–28, 2020, Revised Selected Papers 14 (pp. 16-26). Springer International Publishing.
2019
Moustakidis, S., Christodoulou, E., Papageorgiou, E., Kokkotis, C., Papandrianos, N., & Tsaopoulos, D. (2019). Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective. Quantum Machine Intelligence, 1, 73-86. de Diego, S., Gonçalves, C., Lage, O., Mansell, J., Kontoulis, M., Moustakidis, S., ... & Liapis, A. (2019, October). Blockchain-Based Threat Registry Platform. In 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 0892-0898). IEEE. Moustakidis, S., Omar, M., Aguirre, J., Mohajerani, P., & Ntziachristos, V. (2019). Fully automated identification of skin morphology in raster‐scan optoacoustic mesoscopy using artificial intelligence. Medical physics, 46(9), 4046-4056. Christodoulou, E., Moustakidis, S., Papandrianos, N., Tsaopoulos, D., & Papageorgiou, E. (2019, July). Exploring deep learning capabilities in knee osteoarthritis case study for classification. In 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) (pp. 1-6). IEEE. Moustakidis, S., Meintanis, I., Karkanias, N., Halikias, G., Saoutieff, E., Gasnier, P., ... & Eleftheriou, A. (2019, February). Innovative technologies for district heating and cooling: indeal project. In Proceedings (Vol. 5, No. 1, p. 1). MDPI. Moustakidis, S., Meintanis, I., Halikias, G., & Karcanias, N. (2019). An innovative control framework for district heating systems: conceptualisation and preliminary results. Resources, 8(1), 27. Liakos, K. G., Georgakilas, G. K., Moustakidis, S., Karlsson, P., & Plessas, F. C. (2019, November). Machine learning for hardware trojan detection: A review. In 2019 Panhellenic Conference on Electronics & Telecommunications (PACET) (pp. 1-6). IEEE.
2015 - 2018
Loureiro, T., Rämä, M., Sterling, R., Cozzini, M., Vinyals, M., Descamps, M., ... & Geyer, P. (2018, August). District energy systems: A collaborative exchange of results on planning, operation and modelling for energy efficiency. In Proceedings (Vol. 2, No. 15, p. 1127). MDPI. Moustakidis, S., Anagnostis, A., Chondronasios, A., Karlsson, P., & Hrissagis, K. (2018). Excitation-invariant pre-processing of thermographic data. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 232(4), 435-446. Costa, A., Loureiro, T., Passerini, F., Lopez, S., Pietrushka, D., Klepal, M., ... & Arias, I. (2017, November). Development of future EU district heating and cooling network solutions, sharing experiences and fostering collaborations. In Proceedings (Vol. 1, No. 7, p. 1105). MDPI. Liakos, K., Moustakidis, S. P., Tsiotra, G., Bartzanas, T., Bochtis, D., & Parisses, C. (2017). Machine Learning Based Computational Analysis Method for Cattle Lameness Prediction. HAICTA, 128, 139. Moustakidis, S., Anagnostis, A., Karlsson, P., & Hrissagis, K. (2016). Non-destructive inspection of aircraft composite materials using triple IR imaging. IFAC-PapersOnLine, 49(28), 291-296.
2010 - 2014
Moustakidis, S., Kappatos, V., Karlsson, P., Selcuk, C., Gan, T. H., & Hrissagis, K. (2014). An intelligent methodology for railways monitoring using ultrasonic guided waves. Journal of Nondestructive Evaluation, 33, 694-710. Carellan, I. G., De Moustakidis, S., Legg, M., Dave, R., Selcuk, C., Jost, P., ... & Hrissagis, K. (2014, July). Characterization of Ultrasonic Wave Propagation in the Application of Prevention of Fouling on a Ship’s Hull. In International Conference on Maritime Technology (pp. 7-9). UK: Glasgow. Parthipan, T., Jackson, P., Chong, A., Legg, M., Mohimi, A., Kappatos, V., ... & Hrissagis, K. (2014, June). Long Range Ultrasonic inspection of aircraft wiring. In 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE) (pp. 1289-1294). IEEE. Cheilakou, E., Theodorakeas, P., Koui, M., Moustakidis, S., & Zeris, C. (2013). Determination of reinforcement and tendon ducts positions on pre-stressed concrete bridges by means of ground penetrating radar (GPR). In 5th international conference on NDT of HSNT–IC MINDT, Athens Greece. doi (Vol. 10, No. 12.2046354). Moustakidis, S. P., & Theocharis, J. B. (2012). A fast SVM-based wrapper feature selection method driven by a fuzzy complementary criterion. Pattern Analysis and Applications, 15, 379-397. Moustakidis, S. P., Theocharis, J. B., & Giakas, G. (2012). Feature selection based on a fuzzy complementary criterion: application to gait recognition using ground reaction forces. Computer methods in biomechanics and biomedical engineering, 15(6), 627-644. Moustakidis, S., Kappatos, V., Karlsson, P., Selcuk, C., Hrissagis, K., & Gan, T. H. (2012). An automated long range ultrasonic rail flaw detection system based on the support vector machine algorithm. Computers in Railways XIII: Computer System Design and Operation in the Railway and Other Transit Systems, 127, 199-210. Cheilakou, E., Theodorakeas, P., Koui, M., Moustakidis, S., & Zeris, C. (2012). Application of ground penetrating radar (GPR) as a diagnostic technique in concrete bridges inspection. In Proc., 42nd Int. Conf. and NDT Exhibition: NDE for Safety 2012. Moustakidis, S., Mallinis, G., Koutsias, N., Theocharis, J. B., & Petridis, V. (2011). SVM-based fuzzy decision trees for classification of high spatial resolution remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 50(1), 149-169. Moustakidis, S. P., Theocharis, J. B., & Giakas, G. (2010). A fuzzy decision tree-based SVM classifier for assessing osteoarthritis severity using ground reaction force measurements. Medical engineering & physics, 32(10), 1145-1160. Moustakidis, S. P., & Theocharis, J. B. (2010). SVM-FuzCoC: A novel SVM-based feature selection method using a fuzzy complementary criterion. Pattern Recognition, 43(11), 3712-3729. Mitrakis, N. E., Moustakidis, S. P., & Theocharis, J. B. (2010, July). A Fuzzy Complementary Criterion for structure learning of a neuro-fuzzy classifier. In International Conference on Fuzzy Systems (pp. 1-8). IEEE.
2004 - 2009
Moustakidis, S. P., Theocharis, J. B., & Giakas, G. (2009, June). Feature extraction based on a fuzzy complementary criterion for gait recognition using GRF signals. In 2009 17th Mediterranean Conference on Control and Automation (pp. 1456-1461). IEEE. Moustakidis, S. P., Theocharis, J. B., & Giakas, G. (2008). Subject recognition based on ground reaction force measurements of gait signals. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 38(6), 1476-1485. Moustakidis, S. P., Rovithakis, G. A., & Theocharis, J. B. (2008). An adaptive neuro-fuzzy tracking control for multi-input nonlinear dynamic systems. Automatica, 44(5), 1418-1425. Moustakidis, S. P., Rovithakis, G. A., & Theocharis, J. B. (2006, October). An adaptive neuro-fuzzy control approach for nonlinear systems via Lyapunov function derivative estimation. In 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control (pp. 1602-1607). IEEE. Nikolakis, G., Tzovaras, D., Moustakidis, S., & Strintzis, M. G. (2004). Cybergrasp and phantom integration: Enhanced haptic access for visually impaired users. In 9th Conference Speech and Computer.
Projects
Projects
Healthcare & medical technology
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EMERALD: Fuzzy Cognitive Explainable Analytics for Translating Model Complexity in Nuclear Medical Diagnosis (National project HFRI (Hellenic Foundation for Research and Innovation) at the 2nd Call for H.F.R.I.’s Research Projects to Support Faculty Members & Researchers).
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SPHINX: A Universal Cyber Security Toolkit for Health-Care Industry (Horizon 2020 Framework Programme of the European Union under grant agreement No. 826183).
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OACTIVE: Advanced personalised, multi-scale computer models preventing osteoarthritis (Horizon 2020 Framework Programme of the European Union under grant agreement No. 777159).
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VOCORDER: Towards the ultimate breath analysis-based continuous healthcare (Horizon Europe under the topic: HORIZON-EIC-2022-PATHFINDERCHALLENGES-01)
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NeuroBiostroke: Study of the correlations between neuroimaging, neurophysiological, and biomechanical biomarkers in the recovery of the vascular cerebral incident ( MIS 5047286 Κ.Ε. 82624 funded by Greek Goverment EPAnEK )
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Deep Learning Enhanced 2D Echocardiography: Advanced Assessment of Right Ventricular Function and Quantification (TBA)
Energy
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Carbo4Power: New generation of offshore turbine blades with intelligent architectures of hybrid, nano-enabled multi-materials via advanced manufacturing (European Union's Horizon 2020 research and innovation programme under grant agreement No 953192).
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InDeal: Innovative Technology for District Heating and Cooling (Horizon 2020 Framework Programme of the European Union under grant agreement No. 696174).
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SAFEHPOWER: Continuous monitoring systems for the SAFE storage, distribution and usage of Hydrogen POWER for transport (European Union Seventh Framework Programme under grant agreement no 605095).
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DEMO WINTUR: In-situ wireless monitoring of on - and offshore wind turbine blades using energy harvesting technology (EC - FP7 'Capacities' programme under the call for 'Demonstration Activity FP7-SME-2012-3').
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DEMO TIDALSENSE: Demonstration of a Condition Monitoring System for Tidal Stream Generators (EC - FP7 'Capacities' programme under the call for 'Demonstration Activity FP7-SME-2012-3', under grant agreement: 286989).
Agriculture and Environment
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CHAMELEON: A Holistic Approach to Sustainable, Digital EU Agriculture, Forestry, Livestock and Rural Development based on Reconfigurable Aerial Enablers and Edge Artificial Intelligence-on-Demand Systems (Grant agreement ID: 101060529).
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“Development of simulation models for predicting the generated pollen of allergy-causing plants and trees for the protection of allergy vulnerable populations” (Funded by A CERT).
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RIVER SHIELD: Protecting Rivers from accidental industrial pollution in the Greek part of the transboundary Nestos river basin (INTERREG III B CADSES initiative program, reference number 5D189).
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“PYTHAGORAS II (Environment): Survey of environmental parameters for a protected area using remote sensing, fuzzy logic and neural networks,” (3rd Community Support Framework of the Hellenic Ministry of Education, funded by 25% from national sources and by 75% from the European Social Fund (ESF)).
Construction and Building Technology
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ICLIMABUILT: Functional and advanced insulating and energy harvesting/storage materials across climate adaptive building envelopes (European Union's Horizon 2020 research and innovation programme under grant agreement No 952886).
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MF-RETROFIT: Multifunctional facades of reduced thickness for fast and cost-effective retrofitting (European Community’s Seventh Framework Programme managed by REA – Research Executive Agency, under grant agreement 605549).
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HARDALT: New generation of protective coatings alternative to hard chrome (European Community’s Seventh Framework Programme managed by REA – Research Executive Agency, under grant agreement 606110).
Manufacturing and Production
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XMANAI: Explainable Manufacturing Artificial Intelligence. (Horizon 2020 research and innovation programme under grant agreement No 957362 (ICT-38-2020-RIA).
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Z-FactOr: Zero-defect manufacturing strategies towards on-line production management for European factories. (Horizon 2020 research and innovation programme under grant agreement No 723906.
Security and Safety
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LAWGAME: An Interactive, Collaborative Digital Gamification Approach to Effective Experiential Training and Prediction of Criminal Actions. (Horizon 2020 FCT-02-2020 under grant agreement No 101021714)
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Search and Rescue: Emerging technologies for the Early location of Entrapped victims under Collapsed Structures and Advanced Wearables for risk assessment and First Responders Safety in SAR operations. (Horizon 2020 under grant agreement No 882897 (H2020-SU-SEC-2019))
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HERO: A novel holistic approach for hardware trojan detection powered by deep learning. (Horizon 2020 under grant agreement No 777222 (ATTRACT EU))
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RPB-HealTec: Road Pavements & Bridge deck Health monitoring / early warning using advanced inspection Technologies. (FP7/2007_2013 under Grant Agreement No 606645)
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SAFEWIRE: Long range ultrasonic inspection of aircraft wiring. (FP7-SME-2012 under grant agreement 313357)
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CHIPCHECK: Development of Novel X-ray Inspection System for Fast Automated Detection of Counterfeit PCB Components. (FP7-SME-2008-2 under EU Grant Agreement: 262212)
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SHIPINPECTOR: Detection of Safety Critical Defects in Ships. (FP7-SME-2007-2 under grant agreement no. 218432)
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COMPETE: Composites Evaluation in aircraft industry through Triplex IR imaging system. ( Seventh Framework Programme managed by REA– Research Executive Agency, (FP7/2007_2013) under Grant Agreement No 606636)
Infrastructure and Transportation
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VIBRATION: Global in-flight health monitoring platform for composite aerostructures based on advanced VIBRATION based methods. (FP7 Programme managed by REA – Research Executive Agency, under grant agreement 605549)
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CLEANSHIP: Prevention and Detection of fouling on ship hulls. (Seventh Framework Programme managed by REA-Research Executive Agency (FP7-SME-2012-1) under grant agreement no. 312706)
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SELFCLEAN: Novel Self-cleaning, anti-bacterial coatings, preventing disease transmission on everyday touched surfaces. (FP7-SME-2013 managed by REA-Research Executive Agency under grant agreement 232212)
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CROSSIT: Smart condition monitoring and prompt NDT assessment of large concrete bridge structures. (FP7/2007-2013] under grant agreement no 286981)
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ULTRACLEANPIPE: Ultrasonic detection and removal of fouling inside industrial and domestic pipes. (FP7-SME-2007-2 under grant agreement no. 218432)
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MONITORAIL: Long Range Inspection and Condition Monitoring of Rails Using Guided Waves. (FP7-SME-2010-1 under grant agreement no. 262194-2)
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HOTSCAN: Long range ultrasonic system for continuous in-service inspection and structural health monitoring of high temperature steam pipes in power generation plant with 100% coverage. (FP7-SME-2010 under the grant agreement no. 262574)
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SELFSCAN: Neutral Net Based defect detection system using Long Range Ultrasonic Testing (LRUT) technology for Aircraft Structure Health Monitoring. (FP7-SME-2008-1 under grant agreement number: 232212)
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COMPAIR: Continuous health monitoring and non-destructive assessment of composites and composite repairs on surface transport applications. (FP7-SST-2007-RTD-1 under grant agreement number: 218697)
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