University of Naples Federico II · DIETI

Silvio
Barra.

Associate Professor of Computer Science

Computer vision, artificial intelligence and multimodal systems. From understanding images and signals to designing technologies for health, mobility and sports.

Full Professor qualification · 01/B1 & 09/H1
RESEARCH / TEACHING / INNOVATION
Portrait of Silvio Barra
Silvio Barra, PhDNapoli, Italia
Computer vision
Human–AI interaction
Research across
perspectives.As of 4 November 2026
72↗

Publications & contributions

Articles, proceedings, chapters, preprints & edited volumes
19↗

h-index · Scopus

Publications & citations
23↗

h-index · Google Scholar

Public profile & citations

01 / RESEARCH

Images are data.
Data opens possibilities.

Recognition, learning and interaction methods, applied across six complementary areas.

01

Multimodal biometrics

Recognition from images and physiological signals: face, iris, hand, gait, EEG and ECG. Data quality, fusion and decision reliability.

Recognition · Fusion · In-the-wild
02

AI for medical imaging

Ultrasound image segmentation and classification. Multi-scale ensembles and generative models for MRI volume resolution enhancement.

Ultrasound · Segmentation · Generative AI
03

Intelligent mobility

Curriculum and reinforcement learning for autonomous driving. Traffic analysis, 3D detection and video surveillance for smart cities.

Autonomous driving · CARLA · Smart cities
04

Sports analytics & interaction

Football performance analysis, wearable sensors and multimodal annotation. Conversational systems connecting domain experts and AI.

Human–AI · Multimodal interfaces · Football
05

From time series to images

Visual encodings and convolutional networks for time-series analysis and financial market forecasting.

Gramian Angular Fields · CNN ensembles
06

Digital cultural heritage

Fresco reassembly and digital anastylosis. Computer vision, virtual and augmented reality for cultural heritage reconstruction and access.

SAFFO · DAFNE · Image matching
Methods and people at the centre.

Multimodal fusion, deep learning, generative models and reinforcement learning. Collaboration across universities, laboratories and industry to turn research questions into systems that can be evaluated.

02 / PROJECTS

Collaborative research.
Clear responsibilities.

Selected national research projects and industry collaborations, with roles and funding programmes.

PRIN 2026 · PE6Funded · start to be confirmed

ATHENA

Agentic Trustworthy & Human-supervised ENvironments for AI

UNINA Research Unit Lead

Trustworthy, human-supervised agentic AI environments. The UNINA unit coordinates reliability, security and compliance, including explainability and data protection.

2026 · 36 monthsProject: €1,199,995 MUR · UNINA unit: €305,399, including co-financing.
PN RIC 2021–2027 · Azione 1.1.2Active

SINTESI

Sistemi cyber-fisici INTElligenti e SIcuri per la sanità, l’industria e la società

WP1 Leader · HEALTH-CARE

AI and cybersecurity for diagnostics and clinical decision support. Personalisation, robustness, explainability and data protection in cyber-physical systems.

06/2026 · 24 monthsAction 1.1.2: €9 million · UNINA unit: €810,000 across multiple WPs.
FRA 2024 · Tipologia BActive

GAINS

Generative AI-enhanced Networks and Security

Co-proponent

Secure semantic communications in next-generation networks. Generative AI and robust models against deepfakes, jamming and eavesdropping.

2026–2029€60,000 · Joint budget management with Davide Cozzolino and Donatella Darsena.
MIMIT · Accordi per l’innovazioneActive

SHINE-QC

Piattaforma quantistica di computazione

Research participant · OR1–OR4, CeSMA

Quantum hardware characterisation and interfaces for quantum algorithm programming and tuning.

06/2025–06/2028R&D cost: €5,550,560 · MIMIT support: €2,332,881.94. No personal allocation.
Ricerca collaborativaActive

SILAR

SILAR

Research participant

Participation in the project’s research activities.

No personal budget allocation.

03 / PUBLICATIONS

The work, in detail.

Full bibliography ↓ BibTeX

All 72 CV entries, newest first. Preprints and edited volumes are distinguished from papers.

72 entries

  1. 2026Conference paper

    Increasing Resolution of MRI Volumes Through Interleaved Slice Synthesis Based on Generative Adversarial Networks

    Giuseppe Rauso, Mara Sangiovanni, Silvio Barra, Daniel Riccio, Mariacarla Staffa, Lorenzo D’Errico, Francesco Longobardi

    International Conference on Computer Analysis of Images and Patterns · 15622 · pp. 74–85

    DOI ↗
  2. 2026Edited volume

    Proceedings of the CHItaly Doctoral Consortium co-located with the 16th Biannual Conference of the Italian SIGCHI Chapter (CHItaly 2025)

    Catia Prandi, Luigi De Russis, Silvio Barra

    CEUR Workshop Proceedings · 4151 · CEUR-WS.org · Edited proceedings published on 21 January 2026; event held in Salerno on 8 October 2025

  3. 2026Preprint

    The Dialectical Space: Resolving the Semantic Translation Gap in Disjoint Neural Experts via Contrastive Alignment

    Silvio Barra, Bernardo Breve, Luigi Di Biasi, Geraldine Montella, Genoveffa Tortora

    SSRN · SSRN · Preprint posted on 22 May 2026; not a journal publication

    DOI ↗
  4. 2025Journal paper

    Autonomous Driving: Integration of Segmentation and Depth Camera in a Curriculum Learning Approach

    Silvio Barra, Lucia Cimmino, Vincenzo Loia, Michele Nappi, Matteo Polsinelli

    IEEE Internet of Things Journal · 12(17) · pp. 35237–35248 · IEEE

    DOI ↗
  5. 2025Conference paper

    CHAMPIonS: Conversational Human-AI Methodologies for Performance In Sports

    Silvio Barra, Adriano Bacconi

    Proceedings of the 16th Biannual Conference of the Italian SIGCHI Chapter · pp. 123:1–123:3 · Association for Computing Machinery

    DOI ↗
  6. 2024Journal paper

    Artificial Intelligence Methods for Smart Cities

    Alessandro Sebastian Podda, Salvatore Carta, Silvio Barra

    Sensors · 24(8) · pp. 2615 · Editorial

    DOI ↗
  7. 2024Conference paper

    Automated Classification of Test Tubes Based on Uncontrolled Image Analysis

    Riccardo Balia, Silvio Barra, Alessandro Sebastian Podda, Livio Pompianu, Mara Sangiovanni, Gianni Fenu

    2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) · pp. 1159–1164

    DOI ↗
  8. 2024Conference paper

    Exploring Architectural Choices and Emerging Challenges in Data Management for IoT: A Focus on Digital Innovation and Smart Cities

    Silvio Barra, Ferdinando D'Alessandro, Oleksandr Sosovskyy

    UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization · pp. 429–436

    DOI ↗
  9. 2024Conference paper

    Investigating the Effectiveness of 3D Monocular Object Detection Methods for Roadside Scenarios

    Silvio Barra, Mirko Marras, Sondos Mohamed, Alessandro Sebastian Podda, Roberto Saia

    Proceedings of the ACM Symposium on Applied Computing · pp. 221–223

    DOI ↗
  10. 2024Journal paper

    Multi-scale deep learning ensemble for segmentation of endometriotic lesions

    Alessandro Sebastian Podda, Riccardo Balia, Silvio Barra, Salvatore Carta, Manuela Neri, Stefano Guerriero, Leonardo Piano

    Neural Computing and Applications · 36(24) · pp. 14895–14908

    DOI ↗
  11. 2023Conference paper

    A Practical Approach for Vehicle Speed Estimation in Smart Cities

    Silvio Barra, Salvatore Carta, Antonello Meloni, Alessandro Sebastian Podda, Diego Reforgiato Recupero

    Machine Learning, Optimization, and Data Science: 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19–22, 2022, Revised Selected Papers, Part I · 13810 · pp. 253–267

    DOI ↗
  12. 2023Conference paper

    Can Existing 3D Monocular Object Detection Methods Work in Roadside Contexts? A Reproducibility Study

    Silvio Barra, Mirko Marras, Sondos Mohamed, Alessandro Sebastian Podda, Roberto Saia

    AIxIA 2023 – Advances in Artificial Intelligence · 14318 · pp. 321–335 · Springer

    DOI ↗
  13. 2023Journal paper

    CIOD: an intelligent class-incremental object detection system with nearest mean of exemplars

    Sheng Ren, Yan He, Xiaokang Wang, Kehua Guo, Silvio Barra, Jianqi Li

    Journal of Ambient Intelligence and Humanized Computing · 14(8) · pp. 10657–10671 · Springer · First published online in 2022; final issue published in 2023

    DOI ↗
  14. 2023Journal paper

    Emotion recognition by web-shaped model

    Paola Barra, Luigi De Maio, Silvio Barra

    Multimedia Tools and Applications · 82 · pp. 11321–11336 · Springer

    DOI ↗
  15. 2023Journal paper

    FootApp: an AI-powered system for football match annotation

    Silvio Barra, Salvatore M Carta, Alessandro Giuliani, Alessia Pisu, Alessandro Sebastian Podda, Daniele Riboni

    Multimedia Tools and Applications · 82(4) · pp. 5547–5567 · Springer

    DOI ↗
  16. 2022Journal paper

    A Facial Expression Recognition Approach for Social IoT Frameworks

    Silvio Barra, Sanoar Hossain, Chiara Pero, Saiyed Umer

    Big Data Research · 30 · pp. 100353 · Elsevier

    DOI ↗
  17. 2022Journal paper

    An End-to-End Curriculum Learning Approach for Autonomous Driving Scenarios

    Luca Anzalone, Paola Barra, Silvio Barra, Aniello Castiglione, Michele Nappi

    IEEE Transactions on Intelligent Transportation Systems · 23(10) · pp. 19817–19826 · IEEE

    DOI ↗
  18. 2022Journal paper

    Fully-automated deep learning pipeline for segmentation and classification of breast ultrasound images

    Alessandro Sebastian Podda, Riccardo Balia, Silvio Barra, Salvatore Carta, Gianni Fenu, Leonardo Piano

    Journal of Computational Science · 63 · pp. 101816 · Elsevier

    DOI ↗
  19. 2021Conference paper

    A Deep Learning Solution for Integrated Traffic Control Through Automatic License Plate Recognition

    Riccardo Balia, Silvio Barra, Salvatore Carta, Gianni Fenu, Alessandro Sebastian Podda, Nicola Sansoni

    Computational Science and Its Applications – ICCSA 2021 · 12951 · pp. 211–226 · Springer International Publishing

    DOI ↗
  20. 2021Conference paper

    From Fully Supervised to Blind Digital Anastylosis on DAFNE Dataset

    Paola Barra, Silvio Barra, Fabio Narducci

    Pattern Recognition. ICPR International Workshops and Challenges · pp. 628–642 · Springer International Publishing

    DOI ↗
  21. 2021Conference paper

    Heimdall: an AI-based infrastructure for traffic monitoring and anomalies detection

    Andrea Atzori, Silvio Barra, Salvatore Carta, Gianni Fenu, Alessandro Sebastian Podda

    2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) · pp. 154–159

    DOI ↗
  22. 2021Journal paper

    Introduction to the special issue on “Biometrics in Smart Cities: Techniques and Applications (BI_SCI)”

    Michele Nappi, Silvio Barra, Aniello Castiglione, Fabio Narducci, Pandi Vijayakumar

    Pattern Recognition Letters · 148 · pp. 43–44 · Editorial

    DOI ↗
  23. 2021Conference paper

    Natural Interaction with Traffic Control Cameras Through Multimodal Interfaces

    Marco Grazioso, Alessandro Sebastian Podda, Silvio Barra, Francesco Cutugno

    Artificial Intelligence in HCI · pp. 501–515 · Springer International Publishing

    DOI ↗
  24. 2021Conference paper

    Reinforced Curriculum Learning For Autonomous Driving In Carla

    Luca Anzalone, Silvio Barra, Michele Nappi

    2021 IEEE International Conference on Image Processing (ICIP) · pp. 3318–3322

    DOI ↗
  25. 2021Journal paper

    Visual question answering: Which investigated applications?

    Silvio Barra, Carmen Bisogni, Maria De Marsico, Stefano Ricciardi

    Pattern Recognition Letters · 151 · pp. 325–331

    DOI ↗
  26. 2020Conference paper

    A Voice User Interface for football event tagging applications

    S. Barra, A. Carcangiu, S. Carta, A.S. Podda, D. Riboni

    ACM International Conference Proceeding Series · pp. 1–3 · Association for Computing Machinery

    DOI ↗
  27. 2020Journal paper

    Clustering facial attributes: Narrowing the path from soft to hard biometrics

    A.F. Abate, P. Barra, S. Barra, C. Molinari, M. Nappi, F. Narducci

    IEEE Access · 8 · pp. 9037–9045 · Institute of Electrical and Electronics Engineers Inc.

    DOI ↗
  28. 2020Journal paper

    Deep learning and time series-to-image encoding for financial forecasting

    Silvio Barra, Salvatore Mario Carta, Andrea Corriga, Alessandro Sebastian Podda, Diego Reforgiato Recupero

    IEEE/CAA Journal of Automatica Sinica · 7(3) · pp. 683–692

    DOI ↗
  29. 2020Journal paper

    SAFFO: A SIFT based approach for digital anastylosis for fresco recOnstruction

    P. Barra, S. Barra, M. Nappi, F. Narducci

    Pattern Recognition Letters · 138 · pp. 123–129 · Elsevier B.V.

    DOI ↗
  30. 2020Journal paper

    Web-Shaped Model for Head Pose Estimation: An Approach for Best Exemplar Selection

    P. Barra, S. Barra, C. Bisogni, M. De Marsico, M. Nappi

    IEEE Transactions on Image Processing · 29 · pp. 5457–5468 · Institute of Electrical and Electronics Engineers Inc.

    DOI ↗
  31. 2019Journal paper

    A hand-based biometric system in visible light for mobile environments

    Silvio Barra, Maria De Marsico, Michele Nappi, Fabio Narducci, Daniel Riccio

    Information Sciences · 479 · pp. 472–485

    DOI ↗
  32. 2019Conference paper

    A Novel Blockchain Scheme Combining Prime Numbers and Iris for Encrypting Coding

    Gerardo Iovane, Michele Nappi, Marta Chinnici, Alfredo Petrosino, Aniello Castiglione, Silvio Barra

    2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) · pp. 609–618

    DOI ↗
  33. 2019Conference paper

    Abylia, un ambiente digitale per la scuola in trasformazione

    Davide Zucchetti, Filippo Chesi, Mirko Marras, Silvio Barra

    Conferenza GARR 2018: Data (R)evolution. Selected Papers · pp. 51–55 · Associazione Consortium GARR · Proceedings published in April 2019; conference held in 2018

    DOI ↗
  34. 2019Journal paper

    Achieving efficient source camera identification on Hadoop

    Giuseppe Cattaneo, Umberto Ferraro Petrillo, Andrea F. Abate, Fabio Narducci, Silvio Barra

    Multimedia Tools and Applications · 78(23) · pp. 32999–33021

    DOI ↗
  35. 2019Conference paper

    Automating Mockup-Based Usability Testing on the Mobile Device

    Silvio Barra, Rita Francese, Michele Risi

    Green, Pervasive, and Cloud Computing · 11484 · pp. 128–143 · Springer International Publishing

    DOI ↗
  36. 2019Journal paper

    Biometric data on the edge for secure, smart and user tailored access to cloud services

    Silvio Barra, Aniello Castiglione, Fabio Narducci, Maria De Marsico, Michele Nappi

    Future Generation Computer Systems · 101 · pp. 534–541

    DOI ↗
  37. 2019Journal paper

    Deep learning for source camera identification on mobile devices

    David Freire-Obregón, Fabio Narducci, Silvio Barra, Modesto Castrillón-Santana

    Pattern Recognition Letters · 126 · pp. 86–91

    DOI ↗
  38. 2019Journal paper

    F-FID: fast fuzzy-based iris de-noising for mobile security applications

    Silvio Barra, Carmen Bisogni, Michele Nappi, Stefano Ricciardi

    Multimedia Tools and Applications · 78(10) · pp. 14045–14065

    DOI ↗
  39. 2019Journal paper

    ILEARNTV: Un Ecosistema di Conoscenza Condivisa e Produzione Collaborativa per Innovare la Formazione

    G. Fenu, M. Marras, S. Barra, F. Giorgini, D. Zucchetti, F. Chesi

    Mondo Digitale · 18(81) · Associazione Italiana per l'Informatica e il Calcolo Automatico

  40. 2019Book chapter

    MICHE competitions: A realistic experience with uncontrolled eye region acquisition

    S. Barra, M. De Marsico, H. Proença, M. Nappi

    Selfie Biometrics: Advances and Challenges · pp. 67–104 · Springer London

    DOI ↗
  41. 2019Journal paper

    PhysioUnicaDB: a dataset of EEG and ECG simultaneously acquired

    Silvio Barra, Matteo Fraschini, Andrea Casanova, Aniello Castiglione, Gianni Fenu

    Pattern Recognition Letters · 126 · pp. 119–122

    DOI ↗
  42. 2019Conference paper

    Transfer Learning for Facial Attributes Prediction and Clustering

    Luca Anzalone, Paola Barra, Silvio Barra, Fabio Narducci, Michele Nappi

    Smart City and Informatization · 1122 · pp. 105–117 · Springer Singapore

    DOI ↗
  43. 2019Journal paper

    Walking in a smart city: Investigating the gait stabilization effect for biometric recognition via wearable sensors

    M. De Marsico, A. Mecca, S. Barra

    Computers and Electrical Engineering · 80 · Elsevier Ltd

    DOI ↗
  44. 2018Conference paper

    An Augmented Reality Mobile App for Museums: Virtual Restoration of a Plate of Glass

    Andrea F. Abate, Silvio Barra, Giuseppe Galeotafiore, Carmen D\'iaz, Elvira Aura, Miguel S\'anchez, Xavier Mas, Eduardo Vendrell

    Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection · pp. 539–547 · Springer International Publishing

    DOI ↗
  45. 2018Journal paper

    Biometrics-as-a-Service: Cloud-Based Technology, Systems, and Applications

    S. Barra, K. R. Choo, M. Nappi, A. Castiglione, F. Narducci, R. Ranjan

    IEEE Cloud Computing · 5(4) · pp. 33–37 · Editorial

    DOI ↗
  46. 2018Journal paper

    Cloud-Based Biometrics (Biometrics as a Service) for Smart Cities, Nations, and Beyond

    S. Barra, A. Castiglione, M. De Marsico, M. Nappi, K. R. Choo

    IEEE Cloud Computing · 5(5) · pp. 92–100

    DOI ↗
  47. 2018Conference paper

    Continuous Authentication on Smartphone by Means of Periocular and Virtual Keystroke

    Silvio Barra, Mirko Marras, Gianni Fenu

    Network and System Security · 11058 · pp. 212–220 · Springer International Publishing

    DOI ↗
  48. 2018Conference paper

    Have you permission to answer this phone?

    S. Barra, G. Fenu, M. De Marsico, A. Castiglione, M. Nappi

    2018 International Workshop on Biometrics and Forensics (IWBF) · pp. 1–7

    DOI ↗
  49. 2018Conference paper

    ILEARNTV: Un Ecosistema di Conoscenza Condivisa e Produzione Collaborativa per Innovare la Formazione

    G. Fenu, M. Marras, S. Barra, F. Giorgini, D. Zucchetti, F. Chesi

    Atti di DIDAMATICA 2018 · pp. 273–282 · AICA · Conference version; a subsequent journal version appeared in Mondo Digitale in 2019

  50. 2018Conference paper

    Iris Quality Assessment: A Statistical Approach for Biometric Security Applications

    Andrea F. Abate, Silvio Barra, Andrea Casanova, Gianni Fenu, Mirko Marras

    Cyberspace Safety and Security · 11161 · pp. 270–278 · Springer International Publishing

    DOI ↗
  51. 2018Conference paper

    What are you doing while answering your smartphone?

    A. F. Abate, M. Nappi, S. Barra, M. De Marsico

    2018 24th International Conference on Pattern Recognition (ICPR) · pp. 3120–3125

    DOI ↗
  52. 2017Conference paper

    A Lightweight Mamdani Fuzzy Controller for Noise Removal on Iris Images

    Andrea Francesco Abate, Silvio Barra, Gianni Fenu, Michele Nappi, Fabio Narducci

    Image Analysis and Processing - ICIAP 2017 · pp. 93–103 · Springer International Publishing

    DOI ↗
  53. 2017Book chapter

    Chapter 1 - Unconstrained Data Acquisition Frameworks and Protocols

    João C. Neves, Juan C. Moreno, Silvio Barra, Fabio Narducci, Hugo Proença

    Human Recognition in Unconstrained Environments · pp. 1–30 · Academic Press

    DOI ↗
  54. 2017Journal paper

    Fusion of physiological measures for multimodal biometric systems

    Silvio Barra, Andrea Casanova, Matteo Fraschini, Michele Nappi

    Multimedia Tools and Applications · 76(4) · pp. 4835–4847

    DOI ↗
  55. 2017Journal paper

    Kurtosis and skewness at pixel level as input for SOM networks to iris recognition on mobile devices

    Andrea F. Abate, Silvio Barra, Luigi Gallo, Fabio Narducci

    Pattern Recognition Letters · 91 · pp. 37–43 · Mobile Iris CHallenge Evaluation (MICHE-II)

    DOI ↗
  56. 2017Conference paper

    MOHAB: Mobile Hand-Based Biometric Recognition

    Silvio Barra, Maria De Marsico, Michele Nappi, Fabio Narducci, Daniel Riccio

    Green, Pervasive, and Cloud Computing · pp. 105–115 · Springer International Publishing

    DOI ↗
  57. 2017Conference paper

    Two-Tier Image Features Clustering for Iris Recognition on Mobile

    Andrea F. Abate, Silvio Barra, Francesco D'Aniello, Fabio Narducci

    Fuzzy Logic and Soft Computing Applications · pp. 260–269 · Springer International Publishing

    DOI ↗
  58. 2016Journal paper

    Biometric recognition in surveillance scenarios: a survey

    Jo\ ao Neves, Fabio Narducci, Silvio Barra, Hugo Proen\cca

    Artificial Intelligence Review · 46(4) · pp. 515–541

    DOI ↗
  59. 2016Journal paper

    Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild

    H. Proença, J. C. Neves, S. Barra, T. Marques, J. C. Moreno

    IEEE Transactions on Pattern Analysis and Machine Intelligence · 38(12) · pp. 2444–2456

    DOI ↗
  60. 2016Conference paper

    SKIPSOM: Skewness & kurtosis of iris pixels in Self Organizing Maps for iris recognition on mobile devices

    A. Abate, S. Barra, L. Gallo, F. Narducci

    2016 23rd International Conference on Pattern Recognition (ICPR) · pp. 155–159

    DOI ↗
  61. 2015Conference paper

    A Calibration Algorithm for Multi-camera Visual Surveillance Systems Based on Single-View Metrology

    J. C. Neves, J. C. Moreno, S. Barra, H. Proen\cca

    Pattern Recognition and Image Analysis · pp. 552–559 · Springer International Publishing

    DOI ↗
  62. 2015Conference paper

    Acquiring high-resolution face images in outdoor environments: A master-slave calibration algorithm

    J. C. Neves, J. C. Moreno, S. Barra, H. Proença

    2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS) · pp. 1–8

    DOI ↗
  63. 2015Conference paper

    EEG/ECG Signal Fusion Aimed at Biometric Recognition

    Silvio Barra, Andrea Casanova, Matteo Fraschini, Michele Nappi

    New Trends in Image Analysis and Processing – ICIAP 2015 Workshops · pp. 35–42 · Springer International Publishing

    DOI ↗
  64. 2015Conference paper

    Quis-Campi: Extending in the Wild Biometric Recognition to Surveillance Environments

    Jo\ ao C. Neves, Gil Santos, S\'ilvio Filipe, Emanuel Grancho, Silvio Barra, Fabio Narducci, Hugo Proen\cca

    New Trends in Image Analysis and Processing – ICIAP 2015 Workshops · pp. 59–68 · Springer International Publishing

    DOI ↗
  65. 2015Journal paper

    Ubiquitous iris recognition by means of mobile devices

    Silvio Barra, Andrea Casanova, Fabio Narducci, Stefano Ricciardi

    Pattern Recognition Letters · 57 · pp. 66–73 · Mobile Iris CHallenge Evaluation part I (MICHE I)

    DOI ↗
  66. 2014Book chapter

    Automatic face image tagging in large collections

    S. Barra, M. De Marsico, C. Galdi

    Face Recognition in Adverse Conditions · pp. 336–358

    DOI ↗
  67. 2014Conference paper

    Babies: Biometric authentication of newborn identities by means of ear signatures

    S. Barra, A. Casanova, M. De Marsico, D. Riccio

    2014 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings · pp. 1–7

    DOI ↗
  68. 2014Journal paper

    Biometrics application for newborns safe identification in neonatal intensive care units

    Andrea Casanova, Silvio Barra, Maria De Marsico, Daniel Riccio, Luigi Barberini, M. Puddu, Vassilios Fanos

    Journal of Pediatric and Neonatal Individualized Medicine · 3(2) · pp. 17–19 · Extended abstract ABS 13 in Selected Abstracts of the 10th International Workshop on Neonatology; article identifier e030235; DOI of the abstract collection

    DOI ↗
  69. 2014Journal paper

    Complex Numbers as a Compact Way to Represent Scores and Their Reliability in Recognition by Multi-Biometric Fusion

    SILVIO BARRA, MARIA DE MARSICO, MICHELE NAPPI, DANIEL RICCIO

    International Journal of Pattern Recognition and Artificial Intelligence · 28(07) · pp. 1460003

    DOI ↗
  70. 2014Book chapter

    Unconstrained Ear Processing: What is Possible and What Must Be Done

    Silvio Barra, Maria De Marsico, Michele Nappi, Daniel Riccio

    Signal and Image Processing for Biometrics · pp. 129–190 · Springer Berlin Heidelberg

    DOI ↗
  71. 2014Conference paper

    Using Mutual Information for Multi-Anchor Tracking of Human Beings

    Silvio Barra, Maria De Marsico, Virginio Cantoni, Daniel Riccio

    Biometric Authentication · pp. 28–39 · Springer International Publishing

    DOI ↗
  72. 2013Conference paper

    FAME: Face Authentication for Mobile Encounter

    S. Barra, M. De Marsico, C. Galdi, D. Riccio, H. Wechsler

    2013 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications · pp. 1–7

    DOI ↗

04 / TEACHING

Sharing tools.
Encouraging questions.

University teaching, thesis supervision and professional training. Recent courses are listed here; syllabi and notices are available through the university profile.

2020/21–2021/22 · 2023/24–2026/27

Operating Systems for Mobile, Cloud and IoT

MSc in Computer Science · DIETI, Federico II

6 ECTS: 2020/21–2021/22 and 2025/26–2026/27. Shared 3 ECTS module: 2023/24–2024/25.
2022/23–2026/27

Security and Privacy

MSc in Criminological, Investigative and Cybercrime Studies · Federico II

6 ECTS · Department of Political Science
2021/22–2025/26

Databases

BSc in Computer Science · DIETI, Federico II

9 ECTS · Course lecturer
Syllabi and information on the university website ↗

05 / ACADEMIC SERVICE

Research grows
through exchange.

ELSEVIER / IMAVIS

Image and
Vision Computing

Managing Editor

Since November 2026

Previously Associate Editor, April 2023–October 2026.
2023—present

Pattern Recognition Letters

Associate Editor · Elsevier

2026 / 2027

ICMI · ICPRAM

Local Chair, ICMI 2026 · TPC, ICPRAM 2027

2025 / 2026

ITEE PhD Programme

Doctoral faculty · Quality Management Unit

2025

CHItaly · CHAMPIonS

Doctoral Consortium Chair · Workshop Program Chair

ACADEMIC PATH

Universities, labs,
collaborations.

  1. 2025—present

    Associate ProfessorFederico II · Napoli

  2. 2020—2025

    Assistant Professor · RTDa / RTDbFederico II · Napoli

  3. 2017—2020

    Assistant Professor · RTDaUniversity of Cagliari

  4. 2016

    PhD · Computer ScienceUniversity of Cagliari

06 / TECHNOLOGY TRANSFER

From research
to new ventures.

2024—present

KICKTECK↗

Founding shareholder · PRESSING Scientific Lead

AI and football performance analytics. Conversational interfaces for querying match data, extracting KPIs and supporting clubs and analysts.

2022—present

The Cloud Alchemist↗

Founding shareholder · University of Cagliari spin-off

AI and Big Data for automating and semi-automating the development of cloud software systems.

Previous involvement: VisioScientiae, shareholder during 2021–2023.

CONTACT

A question.
A project.
A collaboration.

For research enquiries, collaboration proposals and theses.

silvio.barra@unina.it ↗
DIETI · University of Naples Federico II
Napoli, Italia

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