Roberto Saia
Roberto Saia

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🇮🇹 Sono un Ricercatore Postdottorato presso il Dipartimento di Matematica e Informatica dell’Università di Cagliari, in Italia. La mia ricerca si estende su vari ambiti tra cui Data Mining, Computer Vision, Intelligenza Artificiale e Sicurezza Informatica. Progetto e sviluppo soluzioni innovative per una vasta gamma di applicazioni come Recommender Systems, Credit Scoring, Fraud Detection, Intrusion Detection, Image Recognition, Blockchain-based Systems e Cybersecurity.

🇬🇧 I am a Postdoctoral Researcher in the Department of Mathematics and Computer Science at the University of Cagliari, Italy. My research spans across various domains including Data Mining, Computer Vision, Artificial Intelligence, and Data Security. I design and develop innovative solutions for a wide range of applications such as Recommender Systems, Credit Scoring, Fraud Detection, Intrusion Detection, Image Recognition, Blockchain-based Systems, and Cybersecurity.

Number of Publications 60
Number of Citations 1264
H-index 19
Percentage of publications included in the top 25% most cited documents worldwide: 40% Updated as of 2026-08-18

Pubblicazioni Scientifiche / Scientific Publications

2026

  • N. Floris, G. Cherchi, G. Fenu, M. M. Manca, R. Saia, R. Scateni, A. S. Podda. "A Data-Centric, Comparative Approach to Real-Time Pedestrian Orientation Estimation for Autonomous Driving". In proceedings of the 12th International Artificial Intelligence Symposium (AIS2026), Castiglione della Pescaia, Grosseto, Italy.
  • R. Saia, A. S. Podda, L. Pompianu, M. Marras, N. Floris, M. M. Manca, G. Fenu. "Roadwatch: Leveraging AI and Configurable Rules for Real-Time Traffic Anomaly Detection on Existing Camera Infrastructures". In proceedings of the 19th International Conference on Computer Science and Information Technology (ICCSIT-2026), Paris, France.

2025

  • Cherchi, G., Floris, N., Podda, A. S., Pompianu, L., Saia, R., Scateni, R. "XAI-Driven Solutions to Enhance Safety for Limited-Mobility Road Users. In proceedings of the International Joint Conference on Computational Intelligence. Cham: Springer Nature Switzerland.
  • R. Saia, S. Podda, L. Pompianu, M. Marras, N. Floris, S. Carta. "Roadwatch: An Integrated Architecture for AI-Powered Surveillance and Anomaly Detection in Traffic Areas". In proceedings of the 9th International Conference on Computer-Human Interaction Research and Applications (CHIRA-2025), Marbella, Spain. PDF

2024

  • S Carta, M Castrillón-Santana, M Marras, S Mohamed, AS Podda, R Saia, M Sau, W Zimmer. "Roadsense3d: A framework for roadside monocular 3d object detection". In Adjunct Proceedings of the 32nd ACM conference on user modeling, adaptation and personalization. PDF
  • R. Saia, S. Carta, G. Fenu, S. Podda, L. Pompianu. "Enhancing IDS with Ensemble LSTM Networks Using Real and GAN Data". In proceedings of the 34th IEEE International Telecommunication Networks and Applications Conference (ITNAC-2024), Sydney, Australia. PDF
  • R. Saia, R. Balia, S. Podda, L. Pompianu, S. Carta, A. Pisu. "EEG Biometrics with GAN Integration for Secure Smart City Data Access". In proceedings of the 8th International Conference on Computer-Human Interaction Research and Applications (CHIRA-2024), Porto, Portugal. PDF
  • R. Saia, R. Balia, S. Podda, L. Pompianu, S. Carta, A. Pisu. "Enhancing EEG-Based User Verification with a Normalized Neural Network Ensemble Approach". In proceedings of the 8th International Conference on Computer-Human Interaction Research and Applications (CHIRA-2024), Porto, Portugal. PDF
  • S. Podda, R. Balia, L. Pompianu, S. Carta, G. Fenu, R. Saia. "CARgram: CNN-based Accident Recognition from Road Sounds through Intensity-Projected Spectrogram Analysis". Accepted for publication in Digital Signal Processing, Elsevier. PDF

2023

  • S. Barra, M. Marras, S. Mohamed, S. Podda, R. Saia. "Can Existing 3D Monocular Object Detection Methods Work in Roadside Contexts? A Reproducibility Study". In proceedings of the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), Rome, Italy. PDF
  • R. Saia, S. Carta, G. Fenu, L. Pompianu. "Leveraging the Training Data Partitioning to Improve Events Characterization in Intrusion Detection Systems". In proceedings of the 16th International Conference on Computer Science and Information Technology (ICCSIT-2023), Paris, France. PDF
  • R. Saia, S. Carta, G. Fenu, L. Pompianu. "Influencing Brain Waves by Evoked Potentials as Biometric Approach: Taking Stock of the Last Six Years of Research". Accepted for publication in Neural Computing and Applications. Springer. PDF
  • R. Saia, S. Carta, G. Fenu, L. Pompianu. "Brain Waves combined with Evoked Potentials as Biometric Approach for User Identification: a Survey". In proceedings of the Intelligent Systems Conference (IntelliSys-2023), Amsterdam, Netherlands. PDF

2022

  • R. Balia, A. Giuliani, L. Piano, A. Pisu, R. Saia, N. Sansoni. "A comparison of audio-based deep learning methods for detecting anomalous road events". In proceedings of the 13th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2022), 2nd International Workshop on Artificial Intelligence methods for Smart Cities (AISC-2022), Leuven, Belgium. PDF
  • R. Saia, S. Carta, G. Fenu, L. Pompianu. "Brain Waves and Evoked Potentials as Biometric User Identification Strategy: an Affordable Low-Cost Approach". In proceedings of the 19th International Conference on Security and Cryptography (SECRYPT-2022), Lisbon, Portugal. PDF
  • R. Saia, S. Carta, G. Fenu, L. Pompianu. "A Region-based Training Data Segmentation Strategy to Credit Scoring". In proceedings of the 19th International Conference on Security and Cryptography (SECRYPT-2022), Lisbon, Portugal. PDF

2021

  • R. Saia, S. Podda, L. Pompianu, D.R. Recupero, G. Fenu. "A Blockchain-based Distributed Paradigm to Secure Localization Services". Accepted for publication in Sensors, MDPI. PDF
  • R. Saia, S. Carta, O. Bergmann. "Wireless Internet, Multimedia, and Artificial Intelligence: New Applications and Infrastructures". Accepted for publication in Future Internet (FI), MDPI. PDF
  • R. Saia, S. Podda, G. Fenu, R. Balia. "Decomposing Training Data to Improve Network Intrusion Detection Performance". In proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR-2021), Online Streaming due to COVID-19 emergency. PDF
  • R. Saia, A. Giuliani, L. Pompianu, S. Carta. "From Payment Services Directive 2 (PSD2) to Credit Scoring: A Case Study on an Italian Banking Institution". In proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR-2021), Online Streaming due to COVID-19 emergency. PDF
  • S. Carta, A. Ferreira, D.R. Recupero, R. Saia. "Credit Scoring by Leveraging an Ensemble Stochastic Criterion in a Transformed Feature Space". Accepted for publication in Progress in Artificial Intelligence. Springer.

2020

  • S. Carta, G. Fenu, A. Ferreira, D.R. Recupero, R. Saia. "A Two-Step Feature Space Transforming Method to Improve Credit Scoring Performance". Accepted for publication in International Joint Conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management (pp. 134-157). Springer, Cham. PDF
  • S. Carta, S. Podda, D.R. Recupero, R. Saia. "A Local Feature Engineering Strategy to Improve Network Anomaly Detection". Accepted for publication in Future Internet (FI), MDPI. PDF
  • S. Carta, S. Podda, D.R. Recupero, R. Saia, G. Usai. "Popularity Prediction of Instagram Posts". Accepted for publication in Computation, MDPI. PDF
  • R. Saia, S. Carta, D. R. Recupero, G. Fenu. "A Feature Space Transformation to Intrusion Detection Systems". In proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR-2020), Online Streaming due to COVID-19 emergency. PDF
  • R. Longo, S. Podda, R. Saia. "Analysis of a Consensus Protocol for Extending Consistent Subchains on the Bitcoin Blockchain". Accepted for publication in Computation, MDPI. PDF
  • S. Carta, D.R. Recupero, R. Saia, M. Stanciu. "A General Framework for Risk Controlled Trading Based on Machine Learning and Statistical Arbitrage". In proceedings of the 6th Annual Conference on machine Learning, Optimization and Data science (LOD-2020), Certosa di Pontignano, Siena, Italy. PDF
  • S. Carta, A. Ferreira, D.R. Recupero, M. Saia, R. Saia. "A Combined Entropy-based Approach for a Proactive Credit Scoring". Accepted for publication in Engineering Applications of Artificial Intelligence (EAAI), Elsevier. PDF
  • M. Bartoletti, S. Carta, T. Cimoli, R. Saia. "Dissecting Ponzi schemes on Ethereum: identification, analysis, and impact". Accepted for publication in Future Generation Computer Systems (FGCS), Elsevier. PDF

2019

  • S. Carta, A. Corriga, A. Ferreira, D.R. Recupero, R. Saia. "A Holistic Auto-Configurable Ensemble Machine Learning Strategy for Financial Trading". Accepted for publication in Computation, MDPI. PDF
  • R. Saia, S. Carta, D. R. Recupero, G. Fenu, M. M. Stanciu. "A Discretized Extended Feature Space (DEFS) Model to Improve the Anomaly Detection Performance in Network Intrusion Detection". In proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR-2019), Vienna, Austria.
  • S. Carta, A. Corriga, R. Mulas, D. R. Recupero, R. Saia. "A Supervised Multi-class Multi-label Word Embeddings Approach for Toxic Comment Classification". In proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR-2019), Vienna, Austria.
  • R. Saia, S. Carta, D. R. Recupero, G. Fenu, M. Saia. "A Discretized Enriched Technique to Enhance Machine Learning Performance in Credit Scoring". In proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR-2019), Vienna, Austria. PDF
  • S. Carta, G. Fenu, D. R. Recupero, R. Saia. Fraud Detection for E-commerce Transactions by Employing a Prudential Multiple Consensus Model. Accepted for publication in Journal of Information Security and Applications (JISA), Elsevier, 2019. PDF

2018

  • S. Carta, A. Medda, A. Pili, D. R. Recupero, R. Saia. Forecasting E-commerce Products Prices by Combining an Autoregressive Integrated Moving Average (ARIMA) Model and Google Trends Data. Accepted for publication in Future Internet (FI), MDPI. PDF
  • R. Saia, S. Carta, D.R. Recupero, G. Fenu. "Internet of Entities (IoE): a Blockchain-based Distributed Paradigm for Data Exchange Between Wireless-based Devices". In proceedings of the 8th International Conference on Sensor Networks (SENSORNETS-2019), Prague, Czech Republic. PDF
  • R. Saia, S. Carta. "Evaluating the Benefits of Using Proactive Transformed-domain-based Techniques in Fraud Detection Tasks". Accepted for publication in Future Generation Computer Systems (FGCS), Elsevier.
  • R. Saia, S. Carta. "Exploiting Wavelet Analysis in Fraud Detection Process". In proceedings of the Data (R)evolution Conference (GARR-2018), Cagliari, Italy.
  • R. Saia, S. Carta, D.R. Recupero. "A Probabilistic-driven Ensemble Approach to Perform Event Classification in Intrusion Detection System". In proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR-2018), Seville, Spain. PDF
  • R. Saia, L. Piras, S. Carta. "Recommending Friends by Identifying Latent Similarities in Social Environments". In proceedings of the 40th European Conference on Information Retrieval (ECIR-2018), Social Aspects in Personalization and Search (SoAPS-2018) Workshop, Grenoble, France. PDF
  • R. Saia, S. Carta, G. Fenu. "A Wavelet-based Data Analysis to Credit Scoring". In proceedings of the 2nd International Conference on Digital Signal Processing (ICDSP-2018), Tokyo, Japan. PDF
  • R. Saia, S. Carta. "Proactivity or Retroactivity? Evaluating the Benefits of Using Proactive Transformed-domain-based Techniques in Fraud Detection Tasks". In proceedings of the High Quality Journal Forum - 3rd International Conference on Internet of Things, Big Data and Security (IoTBDS-2018), Funchal, Madeira, Portugal. PDF
  • R. Saia. "Unbalanced Data Classification in Fraud Detection by Introducing a Multidimensional Space Analysis". In proceedings of the 3rd International Conference on Internet of Things, Big Data and Security (IoTBDS-2018), Funchal, Madeira, Portugal.

2017

  • M. Bartoletti, S. Carta, T. Cimoli, R. Saia. "Dissecting Ponzi schemes on Ethereum: identification, analysis, and impact". In proceedings of the P2P Financial Systems International Workshop (P2PFISY-2017), London, United Kingdom. PDF
  • R. Saia. "A Discrete Wavelet Transform Approach to Fraud Detection". In proceedings of the 11th International Conference on Network and System Security (NSS-2017), International Workshop on Security Measurements of Cyber Networks (SMCN-2017), Helsinki, Finland. PDF
  • R. Saia, S. Carta. "Evaluating Credit Card Transactions in the Frequency Domain for a Proactive Fraud Detection Approach". In proceedings of the 14th International Conference on Security and Cryptography (SECRYPT-2017), Madrid, Spain.
  • R. Saia, S. Carta. "A Fourier Spectral Pattern Analysis to Design Credit Scoring Models". In proceedings of the International Conference on Internet of Things and Machine Learning (IML-2017), Liverpool city, United Kingdom. PDF
  • R. Saia, S. Carta. "A Frequency-domain-based Pattern Mining for Credit Card Fraud Detection". In proceedings of the 2nd International Conference on Internet of Things, Big Data and Security (IoTBDS-2017), Porto, Portugal. PDF

2016

  • R. Saia, S. Carta. "Introducing a Vector Space Model to Perform a Proactive Credit Scoring". Accepted for publication in "Lecture Notes in Communications in Computer and Information Science" (CCIS), Springer.
  • R. Saia, L. Boratto, S. Carta. "Semantics-Aware Content-Based Recommender Systems: Design and Architecture Guidelines". Accepted for publication in Neurocomputing (NEUCOM), Elsevier. PDF
  • R. Saia, S. Carta. "An Entropy Based Algorithm for Credit Scoring". Accepted for publication in Lecture Notes in Business Information Processing (LNBIP) Series, Springer. PDF
  • R. Saia, S. Carta. "A Linear-dependence-based Approach to Design Proactive Credit Scoring Models". In proceedings of the 8th International Conference on Knowledge Discovery and Information Retrieval (KDIR-2016), Porto, Portugal. PDF
  • R. Saia, L. Boratto, S. Carta, G. Fenu."Exploiting a Determinant-based Metric to Evaluate a Word-embeddings Matrix of Items". In proceedings of the IEEE International Conference on Data Mining series (ICDM-2016), SERecSys Workshop, Barcelona, Spain. PDF
  • R. Saia, L. Boratto, S. Carta. "Representing Items as Word-Embedding Vectors and Generating Recommendations by Measuring their Linear Independence". In proceedings of the ACM Recommender Systems conference (RecSys-2016), Boston, USA. PDF
  • R. Saia, L. Boratto, S. Carta. "Improving the Accuracy of Latent-space-based Recommender Systems by Introducing a Cut-off Criterion". In proceedings of the Workshop on Engineering Computer-Human Interaction in Recommender Systems (EnCHIReS), Brussels, Belgium. PDF
  • R. Saia, L. Boratto, S. Carta, G. Fenu. "Using Neural Word Embeddings to Model User Behavior and Detect User Segments". Accepted for publication in Knowledge-Based Systems (KBS), Elsevier. PDF
  • R. Saia, L. Boratto, S. Carta, G. Fenu. "Binary Sieves: Toward a Semantic Approach to User Segmentation for Behavioral Targeting". Accepted for publication in Future Generation Computer Systems (FGCS), Elsevier.
  • R. Saia, L. Boratto, S. Carta, G. Fenu. "A semantic approach to remove incoherent items from a user profile and improve the accuracy of a recommender system". Accepted for publication in Journal of Intelligent Information Systems (JIIS), Springer.

2015

  • R. Saia, L. Boratto, S. Carta. "A Class-based Strategy to User Behavior Modeling". Accepted for publication in Studies in Computational Intelligence (SCI), Springer.
  • R. Saia, L. Boratto, S. Carta. "A Proactive Time-frame Convolution Vector (TFCV) Technique to Detect Frauds Attempts in E-commerce Transactions". International Conference on Communication and Information Processing (ICCIP-2015), Tokyo, Japan. Accepted for publication in International Journal of e-Education, e-Business, e-Management and e-Learning (IJEEEE).
  • R. Saia, L. Boratto, S. Carta. "Introducing a Weighted Ontology to Improve the Graph-based Semantic Similarity Measures". 6th International Conference on Networking and Information Technology (ICNIT-2015), Tokyo, Japan. Accepted for publication in International Journal of Signal Processing Systems (IJSPS). PDF
  • R. Saia, L. Boratto, S. Carta. "Multiple Behavioral Models: a Divide and Conquer Strategy to Fraud Detection in Financial Data Streams". In proceedings of the 7th International Conference on Knowledge Discovery and Information Retrieval (KDIR-2015), Lisbon, Portugal.
  • R. Saia, L. Boratto, S. Carta. "Popularity Does Not Always Mean Triviality: Introduction of Popularity Criteria to Improve the Accuracy of a Recommender System". International Conference on Computer Science and Information Technology (ICCSIT-2015), Amsterdam, Netherlands. Accepted for publication in Journal of Computers (JCP). PDF
  • R. Saia, L. Boratto, S. Carta. "Exploiting the Evaluation Frequency of the Items to Enhance the Recommendation Accuracy". In proceedings of the International Conference on Computer Applications & Technology (ICCAT-2015), Rome, Italy. PDF
  • R. Saia, L. Boratto, S. Carta. "A Latent Semantic Pattern Recognition Strategy for an Untrivial Targeted Advertising". In Proceedings of the 4th IEEE International Congress (BigData-2015), New York, United States of America. PDF

2014

  • R. Saia, L. Boratto, S. Carta. "A New Perspective on Recommender Systems: a Class Path Information Model". In Proceedings of the Science and Information Conference (SAI-2015), London, United Kingdom. PDF
  • R. Saia, L. Boratto, S. Carta. "Semantic Coherence-based User Profile Modeling in the Recommender Systems Context". In Proceedings of the 6th International Conference on Knowledge Discovery and Information Retrieval (KDIR-2014), Rome, Italy. PDF

Libri / Books

R. Saia. "Similarity and Diversity: Two Sides of the Same Coin in Data Analysis". LAMBERT Academic Publishing, ISBN 3659883158. 2016
R. Saia. "Programmazione e controllo dei sistemi informatici". FAG publisher, Milan - Italy, ISBN 9788882338633. 2010
R. Saia. "Sicurezza wireless e mobile". FAG publisher, Milan - Italy, ISBN 9788882337742. 2009
R. Saia. "Reti e sicurezza per sistemi Windows e Linux/Unix". FAG publisher, Milan - Italy, ISBN 9788882336912. 2008

Articoli su Riviste / Articles in Magazines

R. Saia. "Hping il coltellino svizzero della sicurezza". "Linux Pro" journal, Italy 2012
R. Saia. "Metti al sicuro la tua LAN". "Win Magazine" journal, Italy 2012
R. Saia. "Tecniche di mappatura delle reti wireless". "Linux Pro" journal, Italy 2012
R. Saia. "Deceiving Networks Defenses with Nmap Camouflaged Scanning". "Hakin9 Exploiting Software" journal, Warsaw - Poland 2012
R. Saia. "Creating a Fake Wi-Fi Hotspot to Capture Connected Users Information". "Hakin9 Exploiting Software" journal, Warsaw - Poland 2012
R. Saia. "Proactive Network Defence through Simulated Network". "Hakin9" journal, Warsaw - Poland 2012
R. Saia. "From the Theory of Prime Numbers to Quantum Cryptography". "Hakin9" journal, Warsaw - Poland 2012
R. Saia. "Rsyslog: funzioni avanzate e grande affidabilità". "Linux&C" journal, Italy 2011
R. Saia. "La rete è sotto controllo - Regolamentazione e filtraggio dei contenuti". "Linux Pro" journal, Italy 2011

Collaborazioni / Cooperations

La sicurezza delle reti aziendali ai tempi di Facebook

Autori: Mario Mazzolin, Simone Riccetti, Cristina Berta, Raoul Chiesa, Angelo Iacubino, Roberto Marmo, Roberto Saia

Progetto wiki promosso da IBM per discutere sul tema della sicurezza informatica e, nello specifico, su come l'utilizzo dei social network si ripercuote sulla sicurezza delle strutture aziendali, nonché sui rischi che ne derivano. Documento protetto da licenza Creative Commons di tipo "Attribuzione-Non commerciale-Non opere derivate".

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La sicurezza delle informazioni nell'era del Web 2.0

Autori: Luca Cavone, Gaetano Di Bello, Angelo Iacubino, Armando Leotta, Roberto Marmo, Mario Mazzolini, Daniele Pauletto, Roberto Saia

Progetto wiki promosso da IBM per discutere sul tema della sicurezza informatica e, nello specifico, di come gli strumenti offerti dal web 2.0 possano essere amministrati senza mettere a repentaglio la sicurezza dei sistemi. Documento protetto da licenza Creative Commons di tipo "Attribuzione-Non commerciale-Non opere derivate".

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