Below you can find the full list of my research publications including referred journals papers, conferences with proceedings, book chapters, poster presentations and extended abstracts.
Other details of my publications can be found on my Google Scholar profile (Google Scholar).
1. Alalawi, Z., Bova, P., Cimpeanu, T., Di Stefano, A., Duong, M. H., Domingos, E. F., Han, T. A., Krellner, M., Ogbo, B. N., Powers, S., & Zimmaro, F. (2026). “Trust AI regulation? Discerning users are vital to build trust and effective AI regulation”. Applied Mathematics and Computation, 508, 129627. 10.1016/j.amc.2024.129472.
2. Ojuri, S., Han, T. A., Chiong, R., & Di Stefano, A. (2025). “Optimizing text-to-SQL conversion techniques through the integration of intelligent agents and large language models”. Information Processing & Management, 62(5), 104136. 10.1016/j.ipm.2025.104136.
3. Bova, P., Di Stefano, A., & Han, T. A. (2024). “Both eyes open: Vigilant Incentives help Auditors improve AI Safety”. Journal of Physics - Complexity. doi: 10.1088/2632-072X/ad424c. 10.1088/2632-072X/ad424c.
4. Cimpeanu, T., Di Stefano, A., Perret, C., & Han, T. A. (2023). “Social diversity reduces the complexity and cost of fostering fairness”. Elsevier Chaos, Solitons, & Fractals, 167, 113051. doi: 10.1016/j.chaos.2022.113051. 10.1016/j.chaos.2022.113051.
5. Chang, V., Doan, L. M. T., Di Stefano, A., Sun, Z., & Fortino, G. (2022). “Digital Payment Fraud Detection Methods in digital ages and Industry 4.0”. Elsevier Computers & Electrical Engineering (CAEE) - An International Journal, Computers & Electrical Engineering, 100, 107734, ISSN: 0045-7906. doi: 10.1016/j.compeleceng.2022.10773. 10.1016/j.compeleceng.2022.107734.
6. Scatà, M., Di Stefano, A., La Corte, A., & Liò, P. (2020). “Multiplex Social Contagion Dynamics Model to shape and discriminate D2D content dissemination”. IEEE Transactions on Cognitive Communications and Networking, doi: 10.1109/TCCN.2020.3027697. 10.1109/TCCN.2020.3027697.
7. Di Stefano, A., Scatà, M., Attanasio, B., La Corte, A., Liò, P., & Das, S. K. (2020). “A Novel Methodology for designing Policies in Mobile Crowdsensing Systems”. Elsevier, Pervasive and Mobile Computing, Vol. 67, 2020, 101230, ISSN 1574-1192, 10.1016/j.pmcj.2020.101230 - preprint version: arXiv:2001.06437
8. Di Stefano, A., Scatà, M., Vijayakumar, S., Angione, C., La Corte, A., & Liò, P. (2019). “Social dynamics modeling of chrono-nutrition”. PLoS computational biology, 15(1), e1006714. 10.1371/journal.pcbi.1006714.
9. Scatà, M., Di Stefano, A., La Corte, A., & Liò, P. (2018). “Quantifying the propagation of distress and mental disorders in social networks”. Scientific reports, 8(1), 1-12. https://doi.org/10.1038/s41598-018-23260-2 - Featured in “Le Scienze -Scientific American”: https://www.lescienze.it/2018/03/22/news/.
10. Guardo, E., Di Stefano, A., La Corte, A., Sapienza, M., & Scatà, M. (2018). “A fog computing-based IoT framework for precision agriculture”. Journal of Internet Technology, 19(5), 1401-1411. https://jit.ndhu.edu.tw/article/.
11. Scatà, M., Di Stefano, A., Liò, P., & La Corte, A. (2016). “The impact of heterogeneity and awareness in modeling epidemic spreading on multiplex networks”. Scientific reports, 6, 37105. https://doi.org/10.1038/srep37105.
12. Scatà, M., Di Stefano, A., La Corte, A., Liò, P., Catania, E., Guardo, E., & Pagano, S. (2016). “Combining evolutionary game theory and network theory to analyze human cooperation patterns”. Chaos, solitons & fractals, 91, 17-2. 10.1016/j.chaos.2016.04.018.
13. Giacchi, E., Corrente, S., Di Stefano, A., Greco, S., La Corte, A., & Scatá, M. (2016). “A context-aware and social model of dynamic multiple criteria preferences”. Decision Analytics, 3(1), 3. 10.1186/s40165-016-0020-3.
14. Di Stefano, A., Scatà, M., La Corte, A., Liò, P., Catania, E., Guardo, E., & Pagano, S. (2015). “Quantifying the role of homophily in human cooperation using multiplex evolutionary game theory”. PloS one, 10(10), e0140646. 10.1371/journal.pone.0140646 - Featured in “Le Scienze - Scientific American”: https://www.lescienze.it/2015/10/23/news/.
15. Catania, E., Di Stefano, A., Guardo, E., La Corte, A., Pagano, S., & Scatà, M. (2015). “Energy Awareness and the Role of “Critical Mass” In Smart Cities”. Energy, 4(7), 38-43. http://www.irjes.com.
16. Di Stefano, A., La Corte, A., Leotta, M., Lió, P., & Scatá, M. (2013). “It measures like me: An IoTs algorithm in WSNs based on heuristics behavior and clustering methods”. Ad Hoc Networks, 11(8), 2637-2647. 10.1016/j.adhoc.2013.04.011.
Buscemi, A., Proverbio, D., Bova, P., Balabanova, N., Bashir, A., Cimpeanu, T., da Fonseca, H.C., Duong, M.H., Domingos, E.F., Fernandes, A.M., Krellner, M., Ogbo, B. N., Powers, S., Santos, F. P., Shamszaman, Z. U., Song, Z., Di Stefano, A., & Han, T. A. (2025). “Do LLMs trust AI regulation? Emerging behaviour of game-theoretic LLM agents” (arXiv preprint: arXiv:2504.08640).
Balabanova, N., Bashir, A., Bova, P., Buscemi, A., Cimpeanu, T., da Fonseca, H.C., Di Stefano, A., Duong, M.H., Domingos, E.F., Fernandes, A.M., Han, T. A., Krellner, M., Ogbo, N. B., Powers, S. T., Proverbio, D., Santos, F. P., Shamszaman, Z. U., and Song, Z. (2025). “Media and responsible AI governance: a game-theoretic and LLM analysis” (arXiv preprint: arXiv:2503.09858).
Varey, S. R., Di Stefano, A., Han, T. A. (2025). “Keraia.: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoning”. ArXiv preprint: arXiv:2505.04313.
Lachi, V., Dimitri, G., Di Stefano, A., Liò, P., Bianchini, M. & Mocenni, C. (2023). “Impact of the COVID-19 outbreak on the Italian Twitter vaccination debate: A network–based analysis”. Submitted to: IEEE Transactions on Computational Social Systems.
Spasov, S., Di Stefano, A., Liò, P., & Tang, J. (2023). “GRADE: Graph Dynamic Embedding” (arXiv preprint: arXiv:2007.08060). Submitted to: IEEE Transactions on Neural Networks and Learning Systems.
1. Buscemi, A., Proverbio, D., Di Stefano, A., Han, T. A., Castignani, G., & Liò, P. (2025). “FAIRGAME: A framework for AI agents bias recognition using game theory”. Accepted at ECAI 2025. arXiv:2504.1432.
2. Salimi, G., Rahimian, F., Di Stefano, A. and Vakaj, E. (2025). “Comparison of Data Labelling Techniques for Automating Postcode Extraction in NLP-Supported Early-Stage Building Design”. In Proceedings of Digital Frontiers in Buildings and Infrastructure International Conference Series (pp. 266-276). https://submission.dfbi.org/index.php/dfbi/article/view/2622 .
3. Balabanova, N., Bashir, A., Bova, P., Buscemi, A., Cimpeanu, T., Di Stefano, A., Duong, M.H., Domingos, E.F., Fernandes, A., Fonseca, H.C, Han, T.A., Krellner, M., Ogbo, B. N., Powers, S. T., Santos, F. P., Shamszaman, Z. U., and Song, Z. (2025). “Can Media Act as a Soft Regulator of Safe AI Development? A Game-Theoretical Analaysis.”. Accepted at ALife 2025, Kyoto, Japan, 6-10 October, 2025.
4. Al-Hindawi, D., Burn, A. S., Al-Greer, M., Short, M., Prakask, A., & Di Stefano, A. (2025). “Vessel Propulsion Power Forecasting Using Variational Mode Decomposition and Convolutional Neural Networks”. Accepted and presented at the 5th International Conference on Electrical, Computer and Energy Technologies (ICECET) 2025. ICECET 2025.
5. Ojuri, S., Resendiz-Villasenor, C., Rahimian, F. P., & Di Stefano, A. (2025). “A Multimodal AI Framework for Sustainable Inventory Management and Waste Reduction in the uPVC Fenestration Industry”. Accepted and presented at the International Conference on Digital Frontiers in Buildings and Infrastructure (DFBI 2025). DFBI 2025.
6. Ojuri, S., Chahal, A., Lane, N., Rahimian, F. P., & Di Stefano, A. (2025). “AI-Driven Intelligent Design and Business Intelligence System for Automated Technical Drawings in the Roofing Industry”. Accepted and presented at the International Conference on Digital Frontiers in Buildings and Infrastructure (DFBI 2025). DFBI 2025.
7. Salimi, G., Rahimian, F., Okonta, E. D., Oliver, S., Di Stefano, A., Vakaj, E. & Lane, N. (2025). “Enhancing Construction Design Efficiency: An Approach to Data Extraction with Natural Language Processing for Technical Drawing”. In: Proceedings of the International Conference on Smart and Sustainable Built Environment, SASBE 2024. Springer, p. 724-733 10 p. (Lecture Notes in Civil Engineering; vol. 591 LNCE) SASBE 2024.
8. Varey, S. R., Di Stefano, A., & Han, T. A. (2024) “Keraia: A Knowledge Engineering and Reference AI Architecture"”. In: International Congress on Information and Communication Technology (ICICT) 2024 (pp. 329-347). Springer Nature Singapore. ICICT 2024
9. Di Stefano, A., Jayne, C., Angione, C. & Han, T. A. (2023). “Recognition of Behavioural Intention in Repeated Games using Machine Learning”. In ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. MIT Press. proceedings/isal/35/103/116860
10. Bova, P., Di Stefano, A., & Han, T. A. (2023). “A tale of two Regulatory Markets: the role of institutional incentives in supporting sustainable Regulatory Markets for future AI systems”. ALIFE 2023 (The 2023 Conference on Artificial Life). proceedings/isal/35/122/116902
11. Ogbo, N. D., Cimpeanu, T., Di Stefano, A., & Han, T. A. (2022). “Shake on It: The role of Commitments and the Evolution of Coordination in Networks of Technology Firms”. In ALIFE 2022: The 2022 Conference on Artificial Life (Trento, 12-22 July 2022). MIT Press. proceedings/isal/41/112262
12. Spasov, S., Campbell, A., Dimitri, G. M., Di Stefano, A., Scarselli, F., & Liò, P. (2021). “TG-DGM: Clustering Brain Activity using a Temporal Graph Deep Generative Model.” (preprint: https://openreview.net/pdf/). MIDL 2021 (Medical Imaging with Deep Learning), Lübeck, 7 ‑ 9 July 2021.
13. Di Stefano, A., Maesa, D. D. F., Das, S. K., & Liò, P. (2020, January). “Resolution of Blockchain Conflicts through Heuristics-based Game Theory and Multilayer Network Modeling”. In Proceedings of the 21st International Conference on Distributed Computing and Networking (pp. 1-10). 10.1145/3369740.3372914
14. Di Stefano, A., Scatà, M., La Corte, A., Das, S. K., & Liò, P. (2019, April). “Improving QoE in multi-layer social sensing: A cognitive architecture and game theoretic model”. In Proceedings of the Fourth International Workshop on Social Sensing (pp. 18-23). 10.1145/3313294.3313384
15. Giacchi, E., Di Stefano, A., La Corte, A., & Scatà, M. (2014, November). “A dynamic context-aware multiple criteria decision making model in social networks”. In International Conference on Information Society (i-Society 2014) (pp. 157-162). IEEE. 10.1109/i-Society.2014.7009032
16. Scatà, M., Di Stefano, A., Giacchi, E., La Corte, A., & Liò, P. (2014, August). “The bio-inspired and social evolution of node and data in a multilayer network”. In 2014 5th International Conference on Data Communication Networking (DCNET) (pp. 1-6). IEEE. /10.5220/0005119600410046
17. Di Stefano, A., La Corte, A., & Scata, M. (2014, June). “Health Mining: a new data fusion and integration paradigm”. In 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB), Computer Laboratory, Department of Computer Science and Technology, Cambridge, UK. cibb2014
18. La Corte, A., Di Stefano, A., Scatá, M., & Leotta, M. (2013, October). “A Energy-Preserving Model for Wireless Sensors Networks Based on Heuristic Self-Organized Routing”. In 2013 IEEE International Conference on Systems, Man, and Cybernetics (pp. 3198-3202). IEEE. 10.1109/SMC.2013.545.
1. Attanasio B., Di Stefano A., La Corte A., Scatá M. (2021). “Evolutionary Dynamics and Multiplexity for Mobile Edge Computing in a Healthcare Scenario”. In: Fortino G., Liotta A., Gravina R., Longheu A. (eds) Data Science and Internet of Things. Internet of Things (Technology, Communications and Computing). Springer, Cham. 10.1007/978-3-030-67197-6_2
2. Di Stefano, A., Scatà, M., La Corte, A., & Giacchi, E. (2018). “A Dynamic and Context-Aware Social Network Approach for Multiple Criteria Decision Making Through a Graph-Based Knowledge Learning”. In: Graph Theoretic Approaches for Analyzing Large-Scale Social Networks (pp. 53-74). IGI Global. 10.4018/978-1-5225-2814-2.ch004
3. Di Stefano, A., La Corte, A., Lió, P., & Scatá, M. (2016). “Bio-Inspired ICT for Big Data Management in Healthcare”. In: Intelligent Agents in Data-intensive Computing (pp. 1-26). Springer, Cham. 10.1007/978-3-319-23742-8_1
1. Di Stefano, A., Jayne, C., Angione, C. & Han, T. A. (2023). “Recognition of Behavioural Intention in Repeated Games using Machine Learning”. In ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. MIT Press. proceedings/isal/35/103/116860
2. Scatà, M., Di Stefano, A., La Corte A., & Raspagliesi, M. (2018, April). “Data integration, analysis of dynamics and behaviours in social networks, knowledge extraction and diffusion: an IoP framework for prevention”. In: XV Congresso Nazionale SIMM 2018 “Health and Migration Dynamics between continuity and new need”.
3. Di Stefano, A., La Corte A., & Scatà, M. (2015, June). “A Novel Multi-Agent Social Multilayer Framework for Improving Health Information Exchange and Management”. In: International School and Conference on Network Science (NetSci 2015), Zaragoza (Spain).
4. Scatà, M., Di Stefano, A., Giacchi, E., La Corte, A., & Liò, P. (2014, August). “The bio-inspired and social evolution of node and data in a multilayer network”. In 2014 5th International Conference on Data Communication Networking (DCNET) (pp. 1-6). IEEE. 10.5220/0005119600410046
5. Di Stefano, A., La Corte, A., & Scata, M. (2014, June). “Health Mining: a new data fusion and integration paradigm”. In 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB), Computer Laboratory, Department of Computer Science and Technology, Cambridge, UK. cibb2014
1. Giacchi, E., Corrente, S., Di Stefano, A., Greco, S., La Corte, A., & Scatà, M. (2015, August). “A context-aware approach of multiple criteria decision making for social network analysis”. In: 23rd International Conference on Multiple Criteria Decision Making MCDM 2015 - Bridging Disciplines, Hamburg, Germany. mcdmsociety
2. Giacchi, E., Corrente, S., Di Stefano, A., Greco, S., La Corte, A., & Scatà, M. (2015, July). “A novel dynamic and social perspective of multiple criteria decision making”. In: 27th European Conference on Operation Research, University of Strathclyde, Glasgow, UK.
3. Di Stefano, A., La Corte, A., & Scata, M. (2014, June). “Health Mining: a new data fusion and integration paradigm”. In: 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB), Computer Laboratory, Department of Computer Science and Technology, Cambridge, UK. cibb2014