Publications
Papers in Journals
2021
1. Georgia Garani, Nunziato Cassavia and Ilias K. Savvas “A Cloud-Based Spatiotemporal Data Warehouse Approach”, International Journal of Grid and Utility Computing (IJGUC), Inderscience (accepted), 2021.
2. Ilias P. Galanis, Ilias K. Savvas, Andrey V. Chernov, and Maria A. Butakova, “Reliability Testing, Noise and Error Correction of Real Quantum Computing Devices” Telfor Journal, Vol. 13, No. 1, pp: 41-46, 2021, doi: 10.5937/telfor2101041G
3. J. S. Chai, G. Selvachandran, F. Smarandache, V. C. Gerogiannis, L. H. Son, Q.-T. Bui & B. Vo, “New Similarity Measures for Single-valued Neutrosophic Sets with Applications in Pattern Recognition and Medical Diagnosis Problems”. Complex & Intelligent Systems, Springer, vol. 7, pp. 703–723, https://doi.org/10.1007/s40747-020-00220-w, 2021.
4. M. Kretsou, E. M. Arvanitou, A. Ampatzoglou, I. Deligiannis & V. C. Gerogiannis, “Change Impact Analysis: a Systematic Mapping Study”. Journal of Systems and Software, Elsevier, vol. 174, 110892, https://doi.org/10.1016/j.jss.2020.110892, 2021.
5. O. Iatrellis, T. Panagiotakopoulos, V. C. Gerogiannis, P. Fitsilis & A. Kameas, “Cloud computing and semantic web technologies for ubiquitous management of smart cities-related competences”. Education and Information Technologies, Springer, vol. 26, pp. 2143–2164, https://doi.org/10.1007/s10639-020-10351-9. 2021.
6. D. N. Tuyen. T. M. Tuan. L. H. Son, T. T. Ngan, N. L. Giang, P. H. Thong, V. V. Hieu, V. C. Gerogiannis, D. Tzimos and A. Kanavos, “A Novel Approach Combining Particle Swarm Optimization and Deep Learning for Flash Flood Detection from Satellite Images”. Mathematics, MDPI, Special Issue on “Artificial Intelligence and Big Data Computing”, 9(22), pp. 1-20, https://doi.org/10.3390/math9222846, 2021.
7. V. C. Gerogiannis, “Preface to the Special Issue on “Applications of Fuzzy Optimization and Fuzzy Decision Making””. Mathematics, MDPI, 9(23), 3009, https://doi.org/10.3390/math9233009, 2021.
8. N. Lefevr, A. Kanavos, V. C Gerogiannis, L. Iliadis & P. Pintelas, “Employing Fuzzy Logic to Analyze the Structure of Complex Biological and Epidemic Spreading Models”. Mathematics, MDPI, Special Issue on “Applications of Fuzzy Optimization and Fuzzy Decision Making”, 9(9), 977, https://doi.org/10.3390/math9090977, 2021.
9. F. Leal, A. E. Chis, S. Caton, H. G. Vélez, J. M. G. Gómez, M. Durá, A. S. García, C. Sáez, A. Karageorgos, V. C. Gerogiannis, A. Xenakis, E. Lallas, T. Ntounas, E. Vasileiou, G. Mountzouris, P. Pucci, B. Otti, R. Papini, D. Cerrai & M. Mier, “Smart Pharmaceutical Manufacturing: Ensuring End-to-End Traceability and Data Integrity in Medicine Production”. Big Data Research, Elsevier, Vol. 24, 100172, https://doi.org/10.1016/j.bdr.2020.100172, 15 May 2021.
10. O. Iatrellis, I. K. Savvas, P. Fitsilis & V. C. Gerogiannis, “A Two-Phase Machine Learning Approach for Predicting Student Outcomes”. Education and Information Technologies, Springer, vol. 26, pp. 69–88, https://doi.org/10.1007/s10639-020-10260-x, 2021.
2022
11. Geraldine Andre, Bruno Bachelet, Pietro Battistoni, Amina Belhassena, Sandro Bimonte, Christophe Cariou, Frederic Chabot, Gerard Chalhoub, Adrian Couvent, Georgia Garani, Jean Laneurit, Rim Moussa, Konstantinos Oikonomou, Ibrahim Sammour3, Monica Sebillo, Mateus Vilela Souza, Nicolas Tricot and Robert Wrembel “LambdAgrIoT: A New Architecture for Agricultural Autonomous Robots’ Scheduling: from Design to Experiments”, Cluster Computing, pp. 1-23, 2022.
O Κων/νος Οικονόμου είναι ενεργός φοιτητής του ΠΜΣ
12. Georgia Garani, Dionysios Papadatos, Sotiris Kotsiantis, Vassilios S. Verykios “Meteorological data warehousing and analysis for supporting air navigation”, Informatics, MDPI Press, Vol. 9, No.4, pp. 1-13, 2022.
13. Francisco Javier Moreno Arboleda, Georgia Garani and Carlos Daniel Bolívar “Query Operators for Transactional Data: Detecting Similar and Periodic Transactions”, The Computer Journal, pp. 1-12, 2022.
14. Georgia Garani, Francisco Javier Moreno Arboleda and Vassilios S. Verykios “A Novel Approach for Handling Semantic Trajectories on Data Warehouses”, Journal of Intelligent Decision Technologies, Vol. 16, No. 4, pp. 679–690, 2022.
15. K. Kokkinos, E. Nathanail, V. C. Gerogiannis, K. Moustakas & V. Karayannis, “Hydrogen Storage Station Location Selection in Sustainable Freight Transportation via Intuitionistic Hesitant Decision Support System”. Energy, Elsevier, Vol. 260, 125008, ISSN 0360-5442, https://doi.org/10.1016/j.energy.2022.125008, 2022.
16. S. Debabrata, U. Mehta, A. Bhatt, H. Patel, K. Patel, D. Mehta, B. Acharya, V. C. Gerogiannis, A. Kanavos & S. Manika, “A Robust Chronic Kidney Disease Classifier Using Machine Learning”. Electronics, MDPI, I12, no. 1: 212. https://doi.org/10.3390/electronics12010212, 2022.
17. S. Debabrata, S. Satapathy, B. Acharya, M. Shukla, V. C. Gerogiannis, A. Kanavos & D. Giakovis. “Deep Learning Models for Yoga Pose Monitoring”. Algorithms, MDPI, 15, no. 11: 403. https://doi.org/10.3390/a15110403, 2022.
18. M. D. Bala, B. Acharya, D. Rath, V. C. Gerogiannis & A. Kanavos. “A Novel Real Coded Genetic Algorithm for Software Mutation Testing”. Symmetry, MDPI, vol. 14, no. 8: 1525, https://doi.org/10.3390/sym14081525, 2022.
19. E. N. Lallas, I. Santouridis, G. Mountzouris, V. C. Gerogiannis & A. Karageorgos. “An SQWRL-Based Method for Assessing Regulatory Compliance in the Pharmaceutical Industry”. Applied Sciences, MDPI, vol. 12, no. 21: 10923. https://doi.org/10.3390/app122110923, 2022.
20. L. T. Giang, L. H. Son, N. L. Giang, T. M. Tuan, N. V. Luong, M. D. Sinh, G. Selvachandran & V. C. Gerogiannis. “A New Co-learning Method in Spatial Complex Fuzzy Inference Systems for Change Detection from Satellite Images”. Neural Computing and Applications, Springer, https://doi.org/10.1007/s00521-022-07928-5, 2022.
21. L. M. Hui Li, Y. C. Ser, G. Selvachandran, P. H. Thong, L. Cuong, L. H. Son, N. Trung Tuan, & V. C. Gerogiannis. “A Comparative Study of Forecasting Electricity Consumption Using Machine Learning Models”. Mathematics, MDPI, 10, no. 8, https://doi.org/10.3390/math10081329. 2022.
22. T. D. Ngoc, T. M. Tuan, X-H. Le, N. T. Tung, T. K. Chau, P. V. Hai, V. C. Gerogiannis, & L. H. Son, “RainPredRNN: A New Approach for Precipitation Nowcasting with Weather Radar Echo Images Based on Deep Learning”. Axioms, MDPI, 11, no. 3: 107, https://doi.org/10.3390/axioms11030107, 2022.
23. S. Gayathri, M. V. Vivek, M. V. Judy, E. Papageorgiou & V. C. Gerogiannis. “Precision-Based Weighted Blending Distributed Ensemble Model for Emotion Classification”. Algorithms, MDPI, 15, no. 2: 55, https://doi.org/10.3390/a15020055, 2022.
24. P. Jayashree, P. Mohapatra, B. Acharya, F. S. Gharehchopogh, V. C. Gerogiannis, A. Kanavos & S. Manika, “Feature Selection Using Artificial Gorilla Troop Optimization for Biomedical Data: A Case Analysis with COVID-19 Data”. Mathematics, MDPI, 10, no. 15: 2742, https://doi.org/10.3390/math10152742, 2022.
25. K. L. Narayanan, R S. Krishnan, L. H. Son, N. T. Tung, E, G. Julie, Y. H. Robinson, R. Kumar & V. C Gerogiannis, “Fuzzy Guided Autonomous Nursing Robot through Wireless Beacon Network”. Multimedia Tools and Applications, Springer, 81, 3297–3325, https://doi.org/10.1007/s11042-021-11264-6, 2022.
2023
26. Rozita Tsoni, Georgia Garani and Vassilios S. Verykios “Data Pipelines for Educational Data Mining in Distance Education”, Interactive Learning Environments, pp. 1-14, 2023.
27. Francisco Javier Moreno Arboleda, Georgia Garani, Simon Zea Gallego, “Towards Moving Objects Behavior Analysis: Region Speed Limit Rate Measure”, Informatics, MDPI Press, pp. 1-23, 2023.
28. Georgia Garani, Dimitrios Tolis and Ilias K. Savvas “A trajectory data warehouse solution for workforce management decision-making”, Data Science and Management, Elsevier, Vol. 6, No. 2, pp. 88-97, 2023.
29. Maria Avramouli, Ilias K. Savvas, Anna Vasilaki and Georgia Garani “Unlocking the Potential of Quantum Machine Learning to Advance Drug Discovery”, Special Issue: Quantum Computation and Its Applications, Electronics, MDPI, Vol. 12, No.11:2402, pp. 1-26, 2023. https://doi.org/10.3390/electronics12112402
30. Maria Sabani, Ilias K. Savvas, Dimitrios Poulakis, Georgia Garani and Georgios Makris “Evaluation and Comparison of Lattice-based Cryptosystems for a Secure Quantum Computing Era”, Special Issue: Quantum Computation and Its Applications, Electronics, MDPI, Vol. 12, No. 12:2643, pp. 1-25, 2023. https://doi.org/10.3390/electronics12122643
31. Vassiliki A. Exarchou, George M. Aspridis, Ilias K. Savvas, Georgia Garani, Digital Transformation and Human Capital: A Bibliometric Analysis. International Journal of Research in Human Resource Management, Vol. 5, No. 2, pp. 133-142, 2023.
32. Majumder, A.B.; Gupta, S.; Singh, D.; Acharya, B.; Gerogiannis, V.C.; Kanavos, A.; Pintelas, P. Heart Disease Prediction Using Concatenated Hybrid Ensemble Classifiers. Algorithms 2023, 16, 538. https://doi.org/10.3390/a16120538
33. Kavasidis, E. Lallas, G. Mountzouris, V. C. Gerogiannis and A. Karageorgos, A Federated Learning Framework for Enforcing Traceability in Manufacturing Processes, IEEE Access, vol. 11, pp. 57585-57597, 2023, doi: 10.1109/ACCESS.2023.3282316.
34. Lingaraju, A.K.; Niranjanamurthy, M.; Bose, P.; Acharya, B.; Gerogiannis, V.C.; Kanavos, A.; Manika, S. IoT-based Waste Segregation with Location Tracking and Air Quality Monitoring for Smart Cities. Smart Cities, MDPI, 2023, 6, 1507-1522. https://doi.org/10.3390/smartcities6030071
35. Garg, M.; Gajjar, P.; Shah, P.; Shukla, M.; Acharya, B.; Gerogiannis, V.C.; Kanavos, A. Comparative Analysis of Deep Learning Architectures and Vision Transformers for Musical Key Estimation. Information, MDPI, 2023, 14, 527. https://doi.org/10.3390/info14100527
36. Kavasidis, I.; Lallas, E.; Leligkou, H.C.; Oikonomidis, G.; Karydas, D.; Gerogiannis, V.C.; Karageorgos, A. Deep Transformers for Computing and Predicting ALCOA+Data Integrity Compliance in the Pharmaceutical Industry. Applied Sciences, MDPI, 2023, 13, 7616. https://doi.org/10.3390/app13137616
37. Piri, J.; Mohapatra, P.; Dey, R.; Acharya, B.; Gerogiannis, V.C.; Kanavos, A. Literature Review on Hybrid Evolutionary Approaches for Feature Selection. Algorithms, MDPI, Impact Factor: 2.3, 2023, 16, 167. https://doi.org/10.3390/a16030167
38. Rai, S.C.; Nayak, S.P.; Acharya, B.; Gerogiannis, V.C.; Kanavos, A.; Panagiotakopoulos, T. ITSS: An Intelligent Traffic Signalling System Based on an IoT Infrastructure. Electronics, MDPI, 2023, 12, 1177. https://doi.org/10.3390/electronics12051177
39. Mathesul, S.; Swain, D.; Satapathy, S.K.; Rambhad, A.; Acharya, B.; Gerogiannis, V.C.; Kanavos, A. COVID-19 Detection from Chest X-ray Images Based on Deep Learning Techniques. Algorithms 2023, 16, 494. https://doi.org/10.3390/a16100494
40. Mohanty, C.; Mahapatra, S.; Acharya, B.; Kokkoras, F.; Gerogiannis, V.C.; Karamitsos, I.; Kanavos, A. Using Deep Learning Architectures for Detection and Classification of Diabetic Retinopathy. Sensors, MDPI, 2023, 23, 5726. https://doi.org/10.3390/s23125726
41. Prasad, V.K.; Dansana, D.; Bhavsar, M.D.; Acharya, B.; Gerogiannis, V.C.; Kanavos, A. Efficient Resource Utilization in IoT and Cloud Computing. Information 2023, 14, 619. https://doi.org/10.3390/info14110619
2024
42. Francisco Javier Moreno Arboleda, Georgia Garani and Sergio Andrés Arboleda Zuluaga “Exploring the expediency of blockchain-based solutions: Review and challenges”, Applied Computer Science, Vol. 20, No. 4, pp. 149-174, 2024.
43. Maria Avramouli, Ilias K. Savvas, Anna Vasilaki, Andreas Tsipourlianos, and Georgia Garani, “Hybrid Quantum Neural Network Approaches to Protein–Ligand Binding Affinity Prediction”, Mathematics 12 (15), 2372, 2024
44. Maria E. Sabani, Ilias K. Savvas, and Georgia Garani, “Learning with Errors: A Lattice-Based Keystone of Post-Quantum Cryptography”, Signals +, 5(2), 216-243; 2024 https://doi.org/10.3390/signals5020012
45. Akuthota, S.; Janapati, R.C.; Kumar, K.R.; Gerogiannis, V.C.; Kanavos, A.; Acharya, B.; Grivokostopoulou, F.; Desai, U. Enhancing Real-Time Cursor Control with Motor Imagery and Deep Neural Networks for Brain–Computer Interfaces. Information 2024, 15, 702. https://doi.org/10.3390/info15110702
46. Kumawat A, Panda S, Gerogiannis VC, Kanavos A, Acharya B, Manika S. A Hybrid Approach for Image Acquisition Methods Based on Feature-Based Image Registration. J Imaging. 2024 Sep 14;10(9):228. doi: 10.3390/jimaging10090228
47. Shah, V.; Patel, N.; Shah, D.; Swain, D.; Mohanty, M.; Acharya, B.; Gerogiannis, V.C.; Kanavos, A. Forecasting Maximum Temperature Trends with SARIMAX: A Case Study from Ahmedabad, India. Sustainability 2024, 16, 7183. https://doi.org/10.3390/su16167183
48. Pardhu, T.; Kumar, V.; Kanavos, A.; Gerogiannis, V.C.; Acharya, B. Enhanced Classification of Human Fall and Sit Motions Using Ultra-Wideband Radar and Hidden Markov Models. Mathematics 2024, 12, 2314. https://doi.org/10.3390/math12152314
49. Swain D, Mehta U, Mehta M, Vekariya J, Swain D, Gerogiannis VC, Kanavos A, Acharya B., Differential diagnosis of erythemato-squamous diseases using a hybrid ensemble machine learning technique. Intelligent Decision Technologies. 2024; 18(2):1495-1510. doi:10.3233/IDT-230779
50. Chhabra, A., Arora, M., Sharma, A., Singh, H., Verma, S, Jain, R., Acharya, B. Gerogiannis, V. C., Tzimos, D. and Kanavos, A., Classifying Hindi News Using Various Machine Learning and Deep Learning Techniques, International Journal on Artificial Intelligence Tools, vol. 33, no. 2, 2024, https://doi.org/10.1142/S0218213023500641
51. T. Charitou, E. Lallas, V. C. Gerogiannis and A. Karageorgos, “A Network Modeling and Analysis Approach for Pharma Industry Regulatory Assessment,” IEEE Access, vol. 12, pp. 46470-46483, 2024, doi: 10.1109/ACCESS.2024.3380317.
52. Gerogiannis, V.C.; Tzimos, D.; Kakarontzas, G.; Tsoni, E.; Iatrellis, O.; Son, L.H.; Kanavos, A. An Approach Based on Intuitionistic Fuzzy Sets for Considering Stakeholders’ Satisfaction, Dissatisfaction, and Hesitation in Software Features Prioritization. Mathematics 2024, 12, 680. https://doi.org/10.3390/math12050680
53. S. Ghosh, K. M. Sagayam, D. Haldar, A. Jone, B. Acharya, V. C Gerogiannis and A. Kanavos, A review on the types of nanomaterials and methodologies used for the development of biosensors, Advances in Natural Sciences: Nanoscience and Nanotechnology, Volume 15, Issue 1, id.013001, 16 pp., 2024, doi: 10.1088/2043-6262/ad21e8
54. Hussian, A., Mahmood, T., Ali, M. I., Gerogiannis, V. C., Tzimos, D., Giakovis, D., q-Rung orthopair fuzzy soft Hamacher aggregation operators and their applications in multi-criteria decision making. Comp. Appl. Math. 43, 22 (2024). https://doi.org/10.1007/s40314-023-02477-6
55. Son, N. N., Giap, C. N., Son, L. H., Giang, N. L, Tuan, T. M., Gerogiannis, V. C., Tzimos, D., A dynamic fuzzy group recommender system based on intuitionistic fuzzy choquet integral aggregation. Soft Computing, Springer, 2024, https://doi.org/10.1007/s00500-023-09485-y
56. Sukkar, M.; Shukla, M.; Kumar, D.; Gerogiannis, V.C.; Kanavos, A.; Acharya, B. Enhancing Pedestrian Tracking in Autonomous Vehicles by Using Advanced Deep Learning Techniques. Information 2024, 15, 104. https://doi.org/10.3390/info15020104
57. Zala, K.; Acharya, B.; Mashru, M.; Palaniappan, D.; Gerogiannis, V. C.; Kanavos, A.; Karamitsos, I., Transformative Automation: AI in Scientific Literature Reviews. International Journal of Advanced Computer Science & Applications, 2024, Vol 15, Issue 1, p1246, 10.14569/ijacsa.2024.01501122
2025
58. Laitsou, D. Katsianis, A. Xenakis, V. C. Gerogiannis, Pacing the digital decade: Digital evolution and its impact on human well-being, Telecommunications Policy, Volume 49, Issue 1, 2025, https://doi.org/10.1016/j.telpol.2024.102868.
59. Raju, G., Nikesh, P., Resmi K. R., Swain D., Acharya B., Gerogiannis V. C. and Kanavos A., Advanced Machine Learning Techniques for Detecting Irregularities in Skin Lesion Borders: Enhancing Early Skin Cancer Detection, International Journal on Artificial Intelligence Tools, 2025, https://doi.org/10.1142/S0218213024500246
60. Aditi, V. K. Prasad, V. C. Gerogiannis, A. Kanavos, D. Dansana & B. Acharya, Utilizing convolutional neural networks for resource allocation bottleneck analysis in cloud ecosystems. Cluster Comput 28, 22 (2025). https://doi.org/10.1007/s10586-024-04720-z
Chapters in Books / Collective Volumes
2022
1. V.C. Gerogiannis & S. Manika, “Smart City Projects Evaluation: a Bibliometric Approach”. Chapter in “Building on smart cities skills and competences” (Ed. P. Fitsilis), Springer Cham, https://doi.org/10.1007/978-3-030-97818-1_9, 2022.
2. S. G. Quek, G. Selvachandran, F. Smarandache, J. Vimala, L. H. Son, Q. T. Bui & V. C. Gerogiannis, “Entropy Measures for Plithogenic Sets and Applications in Multi-Attribute Decision Making”. Chapter in “Collected Papers on Neutrosophics, Plithogenics, Hypersoft Set, Hypergraphs, and other topics” (Ed. F. Smarandache, Volume X, Global Knowledge Publishing House, 2022. ISBN: 978-1-59973-737-9, Available at SSRN: https://ssrn.com/abstract=4316993, 2022.
3. V.C. Gerogiannis, D. Tzimos & L. H. Son, “Intuitionistic Fuzzy Sets in Large-Scale Software Requirement Prioritization”. Chapter in “Handbook of Research on Advances and Applications of Fuzzy Sets and Logic” (Ed. S. Broumi), IGI-Global publishing, pp. 443-476, DOI: 10.4018/978-1-7998-7979-4, 2022.
2023
4. M. K. Srivastav, S. Gupta, V. M. Priyadharshini, S. Som, B. Acharya, V. C. Gerogiannis, A. Kanavos & I. Karamitsos, “Utilizing Degree Centrality Measures for Product Advertisement in Social Networks”. In: Papadaki, M., Themistocleous, M., Al Marri, K., Al Zarouni, M. (eds) Information Systems. EMCIS 2023. Lecture Notes in Business Information Processing, vol 502. Springer, Cham. https://doi.org/10.1007/978-3-031-56481-9_6
5. Vassilios Verykios, Rozita Tsoni, Georgia Garani and Panagiotakopoulos C. “Fleshing out Learning Analytics and Educational Data Mining with Data Pipelines and ML Pipelines” In: Hatzilygeroudis, I.K., Tsihrintzis, G.A., Jain, L.C. (eds) Fusion of Machine Learning Paradigms, Intelligent Systems Reference Library, Vol 236. Springer, Cham, pp. 155-173, 2023.
Papers in Conference Proceedings
2021
1. Maria Sabani, Ilias Galanis, Ilias Savvas, Georgia Garani “Implementation of Shor’s Algorithm and Some Reliability Issues of Quantum Computing Devices”, PCI2021.
2. Maria Avramouli, Ilias Savvas, Georgia Garani, Anna Vasilaki, “Quantum Machine Learning: Current State and Challenges”, PCI2021.
3. Dimitrios Gravanis, George Kakarontzas, Vassilis C. Gerogiannis: You don’t need a Microservices Architecture (yet): Monoliths may do the trick. ESSE 2021: 39-44
Η δημοσίευση έγινε από απόφοιτο του ΠΜΣ όπως αυτό λειτουργούσε στο Γενικό Τμήμα του ΠΘ (πριν ενταχθεί στο τμήμα Ψηφιακών Συστημάτων). Ο απόφοιτος συνεχίζει ως υποψήφιος διδάκτορας υπό την επίβλεψη του του δ/ντή του ΠΜΣ καθηγητή Κακαρόντζα Γεωργίου.
4. Iakovos Stratigakis, Theodoros Amanatidis, Christina Volioti, George Kakarontzas, Thrasyvoulos Tsiatsos, Ioannis Stamelos, Charalampos Avratoglou, Apostolos Ampatzoglou, Alexander Chatzigeorgiou, Dimitris Folinas: A low-cost AR assistant component architecture for Warehouse Management Systems. PCI 2021: 160-166
5. Kyriakos Skoularikis, Ilias K. Savvas, Georgia Garani, and George Kakarontzas, “A Scalable Framework for Customer Sentiment Analysis in the Telecommunication Industry”, 29th IEEE Telecommunications Forum – TELFOR 2021, Belgrade, Serbia, 2021
Η δημοσίευση έγινε από απόφοιτο του ΠΜΣ όπως αυτό λειτουργούσε στο Γενικό Τμήμα του ΠΘ (πριν ενταχθεί στο τμήμα Ψηφιακών Συστημάτων). Ο απόφοιτος συνεχίζει ως υποψήφιος διδάκτορας υπό την επίβλεψη του καθηγητή του ΠΜΣ Ηλία Σάββα.
6. D. Tzimos, V. C. Gerogiannis, L. H. Son & A. Karageorgos, “A Recommender System based on Intuitionistic Fuzzy Sets for Software Requirements Prioritization”. Proceedings of the 25th Panhellenic Conference on Informatics (PCI 2021), Nov. 26-28, 2021, Volos, Greece, Proceedings published by the Association for Computing Machinery (ACM), pp. 466 – 471, https://doi.org/10.1145/3503823.3503908, 2021.
7. E. Lallas, I. Santouridis, G. Mountzouris, V. C. Gerogiannis & A. Karageorgos, “An Ontology Based Conceptualization of Data Integrity Regulatory Compliance in Pharmaceutical Industry: The SPuMoNI Case”. Proceedings of the 25th Panhellenic Conference on Informatics (PCI 2021), Nov. 26-28, 2021, Volos, Greece, Proceedings published by the Association for Computing Machinery (ACM), pp. 460 – 465, https://doi.org/10.1145/3503823.3503907, 2021.
8. V. C. Gerogiannis, N. Kitsis, D. Tzimos & L. H. Son, “A Novel Requirements Prioritization Approach based on 360 Degree Feedback and Group Recommendation”. 5th International Conference on Algorithms, Computing and Systems (ICACS 2021), Xi’an, China, September 24-26, Proceedings published by the Association for Computing Machinery (ACM), pp. 48-54, https://doi.org/10.1145/3490700.3490709, 2021.
9. D. Batistakis, A. Xenakis, G. Papastergiou, P. Chatzimisios & V. C. Gerogiannis, “An AI-based Prediction-as-a-Service Model for Estimating Machine Bearing Health Status in Industry 4.0 5G Applications”. Proceedings of the 12th International Conference on Information, Intelligence, Systems & Applications (IISA), Chania, Crete, Greece, 12-14 July 2021, Proceedings published by the IEEE, pp. 1-8, doi: 10.1109/IISA52424.2021.9555538, 2021.
10. Bakagiannis, V. C. Gerogiannis, G. Kakarontzas & A. Karageorgos, “Machine Learning Product Key Performance Indicators and Alignment to Model Evaluation”. Proceedings of the 3rd International Conference on Advances in Computer Technology, Information Science and Communication (CTISC 2021), Shanghai, China, 23-25 April 2021, Proceedings published by the IEEE, pp. 172-177, doi: 10.1109/CTISC52352.2021.00039, 2021. (Best Presentation Award at the Conference).
2022
11. Konstantinos Oikonomou, Georgia Garani, Sandro Bimonte, Robert Wrembel ‘What Logical Model Is Suitable for Relational Trajectory Data Warehouses? In: Strauss, C., Cuzzocrea, A., Kotsis, G., Tjoa, A.M., Khalil, I. (eds) Database and Expert Systems Applications. DEXA 2022. Lecture Notes in Computer Science, vol 13426. Springer, Cham. https://doi.org/10.1007/978-3-031-12423-5_30
O Κων/νος Οικονόμου είναι ενεργός φοιτητής του ΠΜΣ
12. Rozita Tsokou, Georgia Garani, Vassilios S. Verykios ‘Incorporating Data Warehouses into Data Pipelines for Deploying Learning Analytics Dashboards’, The Fourteenth International Conference on Information, Intelligence, Systems and Applications (IISA 2023), Volos, Greece, 10-12 July 2023. Best student paper award IISA 2022
13. Maria Avramouli, Ilias K. Savvas, Anna Vasilaki, Georgia Garani, Apostolos Xenakis ‘Quantum Machine Learning in Drug Discovery: Current State and Challenges’, PCI2022.
14. Galanis, I.P., Savvas, I.K., Garani, G. (2022). Experimental Approach of the Quantum Volume on Different Quantum Computing Devices. In: Camacho, D., Rosaci, D., Sarné, G.M.L., Versaci, M. (eds) Intelligent Distributed Computing XIV. IDC 2021. Studies in Computational Intelligence, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-96627-0_43
15. Ilias Savvas, Andrey Chernov, Oleg Kartashov, Grigory Beliavsky, Maria Butakova, “On the Effective Representation of Quantum Data for Classical Machine Learning Problems”, PCI ’22: Proceedings of the 26th Pan-Hellenic Conference on Informatics, November 2022, Pages 379–382, https://doi.org/10.1145/3575879.3576021
16. Ilias. K. Savvas, and Ilias P. Galanis, “Benchmarking Quantum Computers: A Challenging but Necessary Step towards Future”, European Research Consortium for Informatics and Mathematics (ERCIM News), Number 128, January 2022
17. Dimitrios Chloros, Vassilis C. Gerogiannis, George Kakarontzas: Use of software and project management metrics in agile software development methodologies: A systematic mapping study. ESSE 2022: 25-32
Η δημοσίευση έγινε από τον απόφοιτο του ΠΜΣ Δημήτριο Χλωρό με την συμμετοχή των καθηγητών του ΠΜΣ Γερογιάννη Β. και Κακαρόντζα Γ.
18. Antonios Mparmpoutis, George Kakarontzas: Using Database Schemas of Legacy Applications for Microservices Identification: A Mapping Study. ICACS 2022: 11:1-11:7
Η δημοσίευση έγινε από τον απόφοιτο του ΠΜΣ με το ίδιο όνομα όπως λειτουργούσε στο γενικό τμήμα του ΠΘ πριν αυτό ενταχθεί στο τμήμα Ψηφιακών Συστημάτων. Ο απόφοιτος συνεχίζει ως υποψήφιος διδάκτορας υπό την επίβλεψη του δ/ντή του ΠΜΣ καθηγητή Κακαρόντζα Γεωργίου.
19. Kyriakos Skoularikis, Ilias K. Savvas, Georgia Garani, George Kakarontzas: Developing a Domain-Specific Lexicon for the Greek Language. PCI 2022: 273-278
Η δημοσίευση έγινε από απόφοιτο του ΠΜΣ όπως αυτό λειτουργούσε στο Γενικό Τμήμα του ΠΘ (πριν ενταχθεί στο τμήμα Ψηφιακών Συστημάτων). Ο απόφοιτος συνεχίζει ως υποψήφιος διδάκτορας υπό την επίβλεψη του καθηγητή του ΠΜΣ Ηλία Σάββα.
20. Martinis, D. Tzimos, V. C. Gerogiannis & L. Hoang Son, “A Multiple Stakeholders’ Software Requirements Prioritization Approach based on Intuitionistic Fuzzy Sets”. Proceedings of the 4th International Conference on Advances in Computer Technology, Information Science and Communications (CTISC), Proceedings published by the IEEE, Suzhou, China, pp. 1-5, doi: 10.1109/CTISC54888.2022.9849773, 2022.
21. Kavasidis, E. Lallas, V. C. Gerogiannis & A. Karageorgos, “Analytics and Blockchain for Data Integrity in the Pharmaceuticals Industry”. Proceedings of the 4th International Conference on Advances in Computer Technology, Information Science and Communications (CTISC), Proceedings published by the IEEE, Suzhou, China, pp. 1-5, doi: 10.1109/CTISC54888.2022.9849776, 2022.
2023
22. Xenakis, M. Avramouli, M. Sabani, I. Savvas, C. Chaikalis and K. Theodoropoulou, “Quantum Serious Games to Boost Quantum Literacy within Computational Thinking 2.0 Framework,” 2023 IEEE Global Engineering Education Conference (EDUCON), Kuwait, Kuwait, 2023, pp. 1-9, doi: https://doi.org/10.1109/EDUCON54358.2023.10125266
23. Xenakis, M. Sabani, M. Avramouli, I. Savvas, C. Chaikalis and K. Theodoropoulou, Problem Based Gamification to Enhance Quantum Literacy within Computational Thinking 2.0 Framework, accepted and presented in 2023 IEEE Integrated STEM Education Conference ISEC 2023
24. Maria E. Sabani, Ilias K. Savvas, Dimitrios Poulakis, George C. Makris, and Maria A. Butakova, “The BB84 Quantum Key Distribution Protocol and Potential Risks”, ICICT 2023, 20-23 Feb., London, U.K.
25. Kavasidis, E. N. Lallas, V. C. Gerogiannis, T. Charitou & A. Karageorgos, “Predictive maintenance in pharmaceutical manufacturing lines using deep transformers”. 6th International Conference on Emerging Data and Industry, ANT/EDI40, Leuven, Belgium, 2023: 576-583 (Best Paper Award at the Conference).
26. V. C. Gerogiannis, A. Kanavos, N. Antonopoulos, A. Bhola and B. Acharya, “Enhancing Sentiment Classification in Twitter Data Through Context-Driven Text Processing and Tweet Embeddings,” 2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC), Rajkot, India, 2023, pp. 644-648, doi: 10.1109/R10-HTC57504.2023.10461832.
27. Kanavos, A., Karamitsos, I., Mohasseb, A., & Gerogiannis, V. C., “A comparative study of machine learning algorithms and text vectorization methods for fake news detection”. In Proceedings of the 14th International Conference on Information, Intelligence, Systems and Applications (IISA2023)
2024
28. Christiana Vellianiti, George Kakarontzas, Evangelia Kotrotsiou: A Systematic Literature Review on the Psychological Ramifications of Working from Home Model for Software Engineers, 21st European Mediterranean & Middle Eastern Conference on Information Systems (EMCIS 2024) (ACM – to be published)
Η δημοσίευση αφορά θέματα που διαπραγματεύεται το μεταπτυχιακό και έγινε με την χρηματοδότηση του ΠΜΣ και στην οποία συμμετέχει ο διευθυντής του ΠΜΣ καθ. Γιώργος Κακαρόντζας που επιβλέπει την διδακτορική διατριβή της κυρίας Βελλιανίτη.
29. Christos Genakos, Fotios Kokkoras, Blair Yuan Lyu, Mario Pagliero: The Effect of Competition and Price Dispersion on Search Behavior. 18th Int. Conference on Competition and Regulation, “Advances in the Analysis of Competition Policy and Regulation”, July 5–7, 2024
30. S. K. Majhi; P. Sahani; R. Pradhan; B. Acharya; F. Grivokostopoulou; A. Kanavos, V. C. Gerogiannis, “Comparative Analysis of Movie Recommendation Systems Using Filtering Techniques on IMDB and Rotten Tomatoes,” 2024 15th International Conference on Information, Intelligence, Systems & Applications (IISA), Chania Crete, Greece, 2024, pp. 1-8, doi: 10.1109/IISA62523.2024.10786717.
31. O. Papadimitriou, A. Kanavos, M. Maragoudakis, and V. C. Gerogiannis, “Chess piece recognition using deep convolutional neural networks”, Proc. SPIE 13162, Fourth Symposium on Pattern Recognition and Applications (SPRA 2023), 1316202 (8 May 2024); https://doi.org/10.1117/12.3030405
2025
32. Panagiotis Mantos, Fotios Kokkoras, George Kakarontzas: Trends and Challenges in Machine Learning for Code Summarization and Comprehension: A Systematic Literature Review, submitted to the ENASE 2025 (accepted)
Ο Παναγιώτης Μαντώς είναι απόφοιτος του ΠΜΣ που συνεχίζει ως υποψήφιος διδάκτορας υπό την επίβλεψη του δ/ντή του ΠΜΣ Γεωργίου Κακαρόντζα και την συνεπίβλεψη του καθηγητή του ΠΜΣ Φώτιου Κόκκορα.
33. Aspasia V. Oikonomou, and Ilias K. Savvas, “Quantum Legacy in the Hands of Secondary School Students to Implement Quantum Literacy Through Quantum Computing”, IEEE Global Engineering Education Conference – EDUCON 2025, London, U.K., 2025, accepted