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Δρ. Αθανάσιος Βαφειάδης -
Δημοσιεύσεις

Δημοσιεύσεις Σε Περιοδικά

  1. T. Kotsiopoulos, G. Papakostas, T. Vafeiadis, V. Dimitriadis, A. Nizamis, A. Bolzoni, D. Bellinati, D. Ioannidis, K. Votis, D. Tzovaras, P. Sarigiannidis, "Revolutionizing defect recognition in hard metal industry through AI explainability, human-in-the-loop approaches and cognitive mechanisms.", Expert Systems with Applications. 2024 Dec 1;255:124839.
  2. T. Antamis, A. Drosou, T. Vafeiadis, A. Nizamis, D. Ioannidis, D. Tzovaras, "Interpretability of deep neural networks: A review of methods, classification and hardware.", Neurocomputing. 2024 Jul 17:128204.
  3. A. Nizamis, R. A. Deshmukh, T. Vafeiadis, F. G. Valencia, M. J. Ariño, A. Schneider, D. Ioannidis, D. Tzovaras, "Application of a Visual and Data Analytics Platform for Industry 4.0 Enabled by the Interoperable Data Spine: A Real-World Paradigm for Anomaly Detection in the Furniture Domain.", In Enterprise Interoperability X: Enterprise Interoperability Through Connected Digital Twins 2024 Mar 21 (pp. 37-48). Cham: Springer International Publishing.
  4. K. Tsolaki, T. Vafeiadis, A. Nizamis, D. Ioannidis, D. Tzovaras, "Utilizing machine learning on freight transportation and logistics applications: A review.", ICT Express, 2022
  5. T. Vafeiadis, N. Kolokas, N. Dimitriou, A. Zacharaki, M. Yildirim, H. Selvi, D. Ioannidis, D. Tzovaras, "A comparison of 2DCNN network architectures and boosting techniques for regression-based textile whiteness estimation", Simulation Modelling Practice and Theory, 102400, 2021.
  6. V. Rousopoulou, T. Vafeiadis, A. Nizamis, I. Iakovidis, L. Samaras, A. Kirtsoglou, K. Georgiadis, D. Ioannidis, D. Tzovaras, "Cognitive analytics platform with AI solutions for anomaly detection", Computers in Industry, 2021, https://doi.org/10.1016/j.compind.2021.103555
  7. A. Tsolakis, I. Kalamaras, T. Vafeiadis, L. Zyglakis, A. Bintoudi, A. Chouliara, D. Ioannidis, D. Tzovaras, "Towards a holistic microgrid performance framework and a data-driven assessment analysis", Energies, 13(21), 5780. https://doi.org/10.3390/en13215780, 2020
  8. A. Zacharaki, T. Vafeiadis, N. Kolokas, Y. Xu, M. Peschl, D. Ioannidis, D. Tzovaras, "RECLAIM: Towards new era of refurbishment and re-manufacturing of industrial equipment", Frontiers in Artificial Intelligence, AI in Business, 2020.
  9. V. Rousopoulou, A. Nizamis, T. Vafeiadis, D. Ioannidis, D. Tzovaras, "Predictive Maintenance for Injection Moulding Machines enabled by Cognitive Analytics for Industry 4.0", Frontiers in Artificial Intelligence, 3, 86, 2020.
  10. E. Lithoxoidou, C. Ziogou, T. Vafeiadis, S. Krinidis, D. Ioannidis, S. Voutetakis, D. Tzovaras, "Towards the behaviour analysis of chemical reactor utilising data-driven trend analysis and machine learning techniques", Applied Soft Computing, vol. 94, 106464, 2020.
  11. T. Mastos, A. Nizamis, T. Vafeiadis, N. Alexopoulos, C. Ntinas, D. Gkortzis, A. Papadopoulos, D. Ioannidis, D. Tzovaras, "Industry 4.0 sustainable supply chains: An application of an IoT enabled scrap metal management solution", Journal of Cleaner Production, (in press), 122377, 2020.
  12. N. Kolokas, T. Vafeiadis, D. Ioannidis, D. Tzovaras, "A generic fault prognostics algorithm for manufacturing industries using unsupervised machine learning classifiers", Simulation Modelling Practise and Theory, vol. 103, 102109, 2020.
  13. N. Dimitriou, L. Leontaris, T. Vafeiadis, D. Ioannidis, T. Wotherspoon, G. Tinker, D. Tzovaras, "A Deep Learning Framwork for Simulation and Defect Prediction in Industrial Processes", Simulation Modelling Practise and Theory, 2020.
  14. N. Dimitriou, L. Leontaris, T. Vafeiadis, D. Ioannidis, T. Wotherspoon, G. Tinker, D. Tzovaras, "Fault Diagnosis in Microelectronics Attachment via Deep Learning Analysis of 3D Laser Scans", IEEE Transactions on Industrial Electronics, 2019.
  15. T. Vafeiadis, N. Dimitriou, D. Ioannidis, T. Wotherspoon, G. Tinker, D. Tzovaras, "A framework for inspection of dies attachment on PCB utilizing machine learning techniques", Journal of Management Analytics, 2018, Vol. 5, Issue 2, p. 81-94.
  16. T. Vafeiadis, C. Ziogou, G. Stavropoulos, S. Krinidis, D. Ioannidis, S. Voutetakis, D. Tzovaras, K. Moustakas, "Early Malfunction Diagnosis of Industrial Process Units Utilizing Online Linear Trend Profiles and Real Time Classification", International Journal of Adaptive Control and Signal Processing, 2018, Vol.32, iIsue 9, p. 1313-1325.

Δημοσιεύσεις Σε Συνέδρια

  1. D. Dimoudis, T. Vafeiadis, A. Nizamis, E. Musiari, L. Ziliotti, D. Ioannidis, D. Tzovaras, "A Holistic Framework for Production Scheduling in Industry 4.0.", 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Pafos, Cyprus, 2023, pp. 269-276, doi: 10.1109/DCOSS-IoT58021.2023.00053
  2. D. Dimoudis, T. Vafeiadis, A. Nizamis, D. Ioannidis, D. Tzovaras, "Utilizing an adaptive window rolling median methodology for time series anomaly detection.", Procedia Computer Science, 217, 584-593. (2023).
  3. K. Georgiadis, A. Nizamis, T. Vafeiadis, D. Ioannidis, D. Tzovaras, "Production Scheduling Optimization enabled by Digital Cognitive Platform", in International Conference on Industry Sciences and Computer Science Innovation (iSCSi 2022), March 2022, Porto, Portugal
  4. A. Nizamis, R. A. Deshmukh, T. Vafeiadis, F. Gigante-Valencia, M. J.Núñez, A. Schneider, D. Ioannidis, D. Tzovaras, "Application of a Visualand Data Analytics Platform for Industry 4.0 enabled by theInteroperable Data Spine: A Real-world Paradigm for Anomaly Detection inthe Furniture Domain", I-ESA’22 - Interoperability for EnterpriseSystems and Applications
  5. T. Antamis, C. Medentzidis, M. Skoumperdis, T. Vafeiadis, A. Nizamis, D. Ioannidis, D. Tzovaras, "AI-supported forecasting of intermodal freighttransportation delivery time", 62nd International Scientific Conference on Information Technology and Management Science, Riga, Latvia, 2021.
  6. P. Valatsos, T. Vafeiadis, A. Nizamis, D. Ioannidis, D. Tzovaras, "Freight transportation route time prediction with ensemble learning techniques", 25th Pan-Hellenic Conference on Informatics, Volos, Greece, 2021.
  7. T. Kotsiopoulos, T. Vafeiadis, A. Apostolidis, A. Nizamis, N. Alexopoulos, D. Ioannidis, D. Tzovaras, P. Sarigiannidis, "Fault Detection on Bearings and Rotating Machines based on Vibration Sensors Data", International Conference on Progress in Informatics and Computing, Shanghai, China, 2021
  8. A. Chouliara, K. Peppas, A. Tsolakis, T. Vafeiadis, S. Krinidis, D. Tzovaras, "Occupancy inference through energy consumption data: A Smart Home Experiment", 12th International Conference on Computer Vision Sustems, Thessaloniki, Greece, 23-25 September 2019.
  9. T. Vafeiadis, A. Nizamis, K. Apostolou, V. Charisi, I. Metaxa, T. Mastos, D. Ioannidis, A. Papadopoulos, D. Tzovaras, "Intelligent Information Management System for Decision Support: Application in a lift manufacturer’s shop floor", International Symposium on INnovations in Intelligent SysTems and Applications (INISTA 2019) Sofia, Bulgaria, 3-5 Jul. 2019
  10. N. Kolokas, T. Vafeiadis, D. Ioannidis, D. Tzovaras, "Anomaly detection in aluminum production with unsupervised machine learning classifiers", International Symposium on INnovations in Intelligent SysTems and Applications, Sofia, Bulgaria, 3-5 July 2019.
  11. T. Vafeiadis, A. Nizamis, V. Pavlopoulos, L. Giugliano, V. Rousopoulou, D. Ioannidis, D. Tzovaras, "Data Analytics Platform for the Optimization of Waste Management Procedures", International Conference on Distributed Computing in Sensor Systems (DCOSS 2019) - International Workshop on IoT Applications and Industry 4.0 (IoTI4), Santorini, Greece, 29-31 May 2019
  12. A. Pasias, T. Vafeiadis, D. Ioannidis, D. Tzovaras, "Forecasting bath and metal height features in electrolysis process", International Workshop on IoT Applications and Industry 4.0, Santorini Island, Greece, 29-31 May 2019.
  13. T. Vafeiadis, A. Alexiadis, V. Dimaridou, S. Krinidis, K. Kitsikoudis, L. Makris, D. Davidovic, D. Ioannidis, D. Tzovaras, "Anomaly detection in smart meters", 14th Conference of Slovenian Electric Power Engineers, Laško, Slovenija, 21-23 May 2019.
  14. T. Vafeiadis, A. Vafeiadis, S. Krinidis, D. Ioannidis, D. Tzovaras, "Towards occupancy inference in a smart home using energy and environmental data sources and binary classification techniques", International Conference Energy in Buildings, Athens, Greece, 3 Nov 2018.
  15. T. Vafeiadis, D. Kalatzis, A. Nizamis, D. Ioannidis, K. Apostolou, I. N. Metaxa, V. Charisi, C. Beecks, G. Insolvibile, M. Pardid, P. Vergori, D. Tzovaras, "Data analysis and visualization framework in the manufacturing decision support system of COMPOSITION project", International Conference on Changeable, Agile, Reconfigurable and Virtual Production (CARV'18), Nantes, France, 8-10 Oct 2018.
  16. T. Vafeiadis, A. Nizamis, N. Alexopoulos, C. Ntinas, D. Ioannidis, T. Mastos, A. Papadopoulos, D. Tzovaras, "Data analytics and data modelling for predictive maintenance and automated waste management: An integrated (IoT-Industry 4.0) sensor-based solution to improve factory procedures", International Conference on Industrial Internet of Things and Smart Manufacturing (IoTsm'18), London, United Kingdom, 5-6 Sep 2018.
  17. N. Kolokas, T. Vafeiadis, D. Ioannidis, D. Tzovaras, "Forecasting faults of industrial equipment using machine learning techniques", 2018 IEEE International Conference on Innovations in Intelligent Systems and Applications (INISTA 2018), Thessaloniki, Greece, 2-5 Jul. 2018
  18. A. Vafeiadis, T. Vafeiadis, S. Zikos, S. Krinidis, K. Votis, D. Giakoumis, D. Ioannidis, D. Tzovaras, L. Chen, R. Hamzaoui, "Energy-based decision engine for household human activity recognition", in Pervasive Computing and Communications Workshops (PerCom Workshops), 2018 IEEE International Conference on Pervasive Computing, Athens, Greece, 19-23 Mar. 2018.
  19. T. Vafeiadis, S. Zikos, G. Stauropoulos, D. Ioannidis, S. Krinidis, D. Tzovaras, K. Moustakas, "Machine learning based occupancy detection via the use of smart meters", International Conference on Energy Science and Electrical Engineering (ICESEE’17), Budapest, Hungury, 20-22 Oct. 2017.
  20. G. Tziroglou, T. Vafeiadis, C. Ziogou, S. Krinidis, S. Voutetakis, D. Tzovaras, "Incident detection in industrial processes utilizing machine learning techniques", 1st Internatinal Conference on Intelligent Systems in Production Engineering Maintenance (ISPEM’17), Wroclav, Poland, 28-29 Sep 2017.
  21. E. Lithoxoidou, C. Ziogou, T. Vafeiadis, S. Krinidis, D. Ioannidis, S. Voutetakis, D. Tzovaras, "Malfunction Diagnosis in Industrial Process Systems Using Data Mining for Knowledge Discovery", IEEE International Conference on Engineering, Technology and Innovation (ICE’17), Madeira, Portugal, 27-29 Jun 2017.
  22. T. Vafeiadis, D. Ioannidis, C. Ziazios, I.N. Metaxa, D. Tzovaras, "Towards robust early stage data knowledge-based inference engine to support zero-defect strategies in manufacturing environment", 27th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM’17), Modena, Italy, 27-30 Jun 2017.
  23. T. Vafeiadis, D. Ioannidis, S. Krinidis, C. Ziogou, S. Voutetakis, D. Tzovaras, S. Likothanassis, "Real-time incident detection: An approach for two interdependent time series", European Signal Processing Conference (EUSIPCO’16), Budapest, Hungary, 29 Aug. – 2 Sep. 2016, pp. 1418-1422.
  24. T. Vafeiadis, S. Krinidis, C. Ziogou, D. Ioannidis, S. Voutetakis, D. Tzovaras, "Robust malfunction diagnosis in process industry time series", 14th IEEE International Conference on Industrial Informatics (INDIN’16), Futurescope, Poitiers, France, 18-21 Jul. 2016.
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