Christos Sardianos – Test site for International BSc

Christos Sardianos

sardianos@hua.gr

External Instructor

57191226517

Biography

Dr. Christos Sardianos is currently a Research Associate and Postdoctoral Researcher at the Department of Informatics and Telematics of the Harokopio University of Athens. He holds a Ph.D. in the field of Recommender Systems. He also holds an MSc in Informatics and Telematics in the area of Web Engineering (with Honors) and a BSc in Electronic Engineering. His main research topics of interest are related to Recommender Systems and their applications, Machine Learning, Data Mining, AI, and IoT. He has authored more than 50 articles published in International peer-reviewed journals and conferences on Recommender Systems, Knowledge Mining, Machine Learning and Content Personalization, focusing in the field of energy saving and human-centric systems, and has received more than 1700 citations. He has extensive experience in European and International research projects, mainly in knowledge management, data mining, machine learning, artificial intelligence, and personalized recommender systems, with applications in energy, transportation, and health (e.g. TEACHING (H2020), MASTER (H2020 - Marie Skłodowska-Curie Action), (EM)3 (Qatar National Funding), and Fortissimo (FP7)).

Publications

1. Sardianos, C., Briana, M. (2026). “Shaping algorithmic visibility through unplanned communication: recommendation systems, customer segmentation, and ethical drift in digital marketplaces”, In the Collection “Shaping algorithmic visibility through unplanned communication: recommendation systems, customer segmentation, and ethical drift in digital marketplaces”, Springer Nature. (under review) 2. Sardianos, C., Briana, M., Kostakis, I., & Sardianou, E. (2026). “How Digital Platforms and CSRD Drive Inclusive and Sustainable Employment Opportunities: A data-driven analysis.”, The Journal of Risk Finance. Emerald Publishing. (in press) 3. Sardianos, C., Briana, M., Kostakis, I. and Sardianou, E. (2026), “Digital mapping of the Blue Economy: Data-Driven insights into Research Trends and Funding Flows”, Review of Accounting and Finance. (in press) 4. Sardianou, E., Sardianos, C. and I. Varlamis (2026) “Data mining and AI for sustainability” in the book "New Economics for Sustainability: Time for Transformation”. (in press) 5. Sardianos, C., Briana, M. and Sardianou, Ε. (2026), “Evaluating the Role of Digital Platforms in Sustainable Entrepreneurship: A Comparative Study Employing Machine Learning”, The Elgar Companion to Strategic Management and the United Nations Sustainable Development Goals. (accepted) 6. Briana, M., Sardianou, E. and Sardianos, C., (2026) “The Role of Digital Twins in Achieving Sustainable Development Goals, in the book “Sustainable buildings and infrastructure: Leveraging Digital Twins for Enhanced Efficiency and Environmental Impact”, under Springer Series “Green Energy and Technology”. (accepted) 7. Jano, T., Sayed, A. N., Hossen, M. M., Sardianos, C., Hamila, R., Bensaali, F., ... & Dimitrakopoulos, G. (2026). “Closing the loop: A systematic review of artificial intelligence in circular e-waste management.” Waste Management, 214, 115392. 8. Varlamis, I., Himeur, Y., Chronis, C., & Sardianos, C. (2025). “Blockchain technology for secure digital twin data management.”. In Blockchain and Digital Twin for Smart Healthcare (pp. 439-452). Elsevier. 9. Sarsenbay, S., Kabdiyev, A., Varlamis, I., Sardianos, C., Turan, C., Razhametov, B., & Kazym, Y. (2025). “Generating Job Recommendations Based on User Personality and Gallup Tests.” Algorithms, 18(5), 275. 10. Himeur, Y., Varlamis, I., Sardianos, C., & Chronis, C. (2025). “Role of blockchain and digital twin technologies in modern smart grids.” In Digital twin and blockchain for sensor networks in smart cities (pp. 211-228). Elsevier. 11. Rodis, N., Sardianos, C., Radoglou-Grammatikis, P., Sarigiannidis, P., Varlamis, I., & Papadopoulos, G.T. (2024). “Multimodal explainable artificial intelligence: A comprehensive review of methodological advances and future research directions.” IEEE Access, 12, 159794-159820. 12. Varlamis, I., Sardianos, C., Chronis, C., Dimitrakopoulos, G., Himeur, Y., Alsalemi, A., ... & Amira, A. (2023). “Using big data and federated learning for generating energy efficiency recommendations.” International Journal of Data Science and Analytics, 16(3), 353-369. 13. Varlamis, I., Sardianos, C., Chronis, C., Dimitrakopoulos, G., Himeur, Y., Alsalemi, A., ... & Amira, A. (2022). “Smart fusion of sensor data and human feedback for personalized energy-saving recommendations.” Applied Energy, 305, 117775. 14. Himeur, Y., Alsalemi, A., Bensaali, F., Amira, A., Varlamis, I., Bravos, G., Sardianos, C., & Dimitrakopoulos, G. (2022). “Techno-economic assessment of building energy efficiency systems using behavioral change: A case study of an edge-based micro-moments solution.” Journal of Cleaner Production, 331, 129786. 15. Himeur, Y., Sayed, A., Alsalemi, A., Bensaali, F., Amira, A., Varlamis, I., Eirinaki, M., Sardianos, C., & Dimitrakopoulos, G. (2022). “Blockchain-based recommender systems: Applications, challenges and future opportunities.” Computer Science Review, 43, 100439. 16. Sardianos, C., Varlamis, I., Chronis, C., Dimitrakopoulos, G., Alsalemi, A., Himeur, Y., ... & Amira, A. (2021). “The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency.” International Journal of Intelligent Systems, 36(2), 656-680. 17. Izquierdo, Y. T., Monteagudo García, G., Casanova, M. A., Paes Leme, L. A. P., Sardianos, C., Tserpes, K., ... & Ruback Rodrigues, L. C. (2021). “Stop-and-move sequence expressions over semantic trajectories.” International Journal of Geographical Information Science, 35(4), 793-818. 18. Himeur, Y., Alsalemi, A., Al-Kababji, A., Bensaali, F., Amira, A., Sardianos, C., ... & Varlamis, I. (2021). “A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects.” Information Fusion, 72, 1-21. 19. Alsalemi, A., Himeur, Y., Bensaali, F., Amira, A., Sardianos, C., Varlamis, I., & Dimitrakopoulos, G. (2020). “Achieving domestic energy efficiency using micro-moments and intelligent recommendations.” IEEE Access, 8, 15047-15055. 20. Alsalemi, A., Himeur, Y., Bensaali, F., Amira, A., Sardianos, C., Chronis, C., ... & Dimitrakopoulos, G. (2020). “A micro-moment system for domestic energy efficiency analysis.” IEEE Systems Journal, 15(1), 1256-1263. 21. Sardianos, C., Varlamis, I., Dimitrakopoulos, G., Anagnostopoulos, D., Alsalemi, A., Bensaali, F., ... & Amira, A. (2020). “Rehab-c: Recommendations for energy habits change.” Future Generation Computer Systems, 112, 394-407. 22. Varlamis, I., Sardianos, C., & Bouras, G. (2020). “Mining Habitual User Choices from Google Maps History Logs.” In Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation (pp. 151-175). Springer, Cham. 23. Sardianos, C., Varlamis, I., Chronis, C., Dimitrakopoulos, G., Alsalemi, A., Himeur, Y., ... & Amira, A. (2019). “Reshaping consumption habits by exploiting energy-related micro-moment recommendations: A case study.” In International Conference on Smart Cities and Green ICT Systems (pp. 65-84). Cham: Springer International Publishing. 24. Kapadais, K., Varlamis, I., Sardianos, C., & Tserpes, K. (2019). “A Framework for the Detection of Search and Rescue Patterns Using Shapelet Classification.” Future Internet, 11(9), 192. 25. Sardianos, C., Ballas Papadatos, G., & Varlamis, I. (2019). “Optimizing parallel collaborative filtering approaches for improving recommendation systems performance.” Information, 10(5), 155. 26. Alsalemi, A., Ramadan, M., Bensaali, F., Amira, A., Sardianos, C., Varlamis, I., & Dimitrakopoulos, G. (2019). “Endorsing domestic energy saving behavior using micro-moment classification.” Applied Energy, 250, 1302-1311. 27. Alsalemi, A., Sardianos, C., Bensaali, F., Varlamis, I., Amira, A., & Dimitrakopoulos, G. (2019). “The role of micro-moments: A survey of habitual behavior change and recommender systems for energy saving.” IEEE Systems Journal, 13(3), 3376-3387. 28. Sardianos, C., Tsirakis, N., & Varlamis, I. (2018). “A survey on the scalability of recommender systems for social networks.” In Social Networks Science: Design, Implementation, Security, and Challenges (pp. 89-110). Springer, Cham. 29. Makrynioti, N., Grivas, A., Sardianos, C., Tsirakis, N., Varlamis, I., Vassalos, V., Poulopoulos, V. & Tsantilas, P. (2017). PaloPro: a platform for knowledge extraction from big social data and the news. International Journal of Big Data Intelligence, 4(1), 3-22. 30. Sardianos, C., Varlamis, I., & Eirinaki, M. (2017). “Scaling collaborative filtering to large–scale bipartite rating graphs using lenskit and spark.” In 2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService) (pp. 70-79). IEEE. 31. Sardianos, C., Katakis, I. M., Petasis, G., & Karkaletsis, V. (2015). Argument extraction from news. In Proceedings of the 2nd Workshop on Argumentation Mining (pp. 56-66). 32. Sardianos, C., & Varlamis, I. (2014). A scalable solution for personalized recommendations in large-scale social networks. In Proceedings of the 18th Panhellenic Conference on Informatics (pp. 1-6). 33. Sardianos, C., Symvoulidis, C., Schlogl, M., Varlamis, I., & Papadopoulos, G. T. (2024). “Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study.” In 2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE) (pp. 1-7). IEEE.