Enrico Magli

• We apply machine learning and deep learning methods to satellite imaging, with applicaiton to onboard processing and image analysis on the ground.

ERC sectors

• Best reviewer award, IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing conferred by IEEE Geoscience and Remote Sensing Society, United States (2010)
• Best Associate Editor Award, IEEE Transactions on Circuits and Systems for Video Technology conferred by IEEE Circuits and Systems Society, United States (2010)
• Best Paper Award Francesco Carassa conferred by Gruppo Italiano Telecomunicazioni e Teoria dell'Informazione, Italy (2011)
• Top 10% Paper Award at IEEE International Workshop on Multimedia Signal Processing conferred by Organizing committee of IEEE International Workshop on Multimedia Signal Processing, United States (2011)
• IEEE Geoscience and Remote Sensing Society Transactions Prize Paper Award conferred by IEEE Geoscience and Remote Sensing Society, United States (2011)
• Top 10% Paper Award at 2013 IEEE International Workshop on Multimedia Signal Processing conferred by 2013 IEEE lnternational Workshop on Multimedia Signal Processing (MMSP) organizing committee, Italy (2013)
• Best Paper Award Francesco Carassa conferred by Gruppo Italiano Telecomunicazioni e Teoria dell'Informazione, Italy (2013)
• Best Paper Award Francesco Carassa conferred by Gruppo Italiano Telecomunicazioni e Teoria dell'Informazione, Italy (2014)

• IEEE Visual Communications and Image Processing Conference, Program chair
• IEEE International Conference on Multimedia and Expo, Program chair
• IEEE Visual Communications and Image Processing Conference, Program chair
• IEEE International Workshop on Multimedia Signal Processing, Program chair
• International Workshop on Multimedia Analysis and Processing, Program chair

• INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2024/2025 (40. ciclo)
  Politecnico di TORINO
• INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2023/2024 (39. ciclo)
  Politecnico di TORINO
• INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2022/2023 (38. ciclo)
  Politecnico di TORINO
• INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2021/2022 (37. ciclo)
  Politecnico di TORINO
• INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2020/2021 (36. ciclo)
  Politecnico di TORINO
• INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2019/2020 (35. ciclo)
  Politecnico di TORINO
• INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2018/2019 (34. ciclo)
  Politecnico di TORINO
• INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2017/2018 (33. ciclo)
  Politecnico di TORINO
• INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2016/2017 (32. ciclo)
  Politecnico di TORINO
• INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2015/2016 (31. ciclo)
  Politecnico di TORINO
• INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2014/2015 (30. ciclo)
  Politecnico di TORINO
• INGEGNERIA ELETTRONICA, 2013/2014 (29. ciclo)
  Politecnico di TORINO

• Collegio di Ingegneria Elettronica, delle Telecomunicazioni e Fisica. Componente
• Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente

PhD

• Ethics of Artificial Intelligence (AI) (didattica di eccellenza). A.A. 2022/23, INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI. Main teacher

Master of Science

• Signal, image and video processing and learning (modulo di Image and video processing and learning). A.A. 2025/26, COMMUNICATIONS ENGINEERING. Collaboratore del corso
• Machine learning and neural networks. A.A. 2025/26, ICT ENGINEERING FOR SMART SOCIETIES. Titolare del corso
• Statistical learning and neural networks. A.A. 2024/25, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Titolare del corso
• Signal, image and video processing and learning (modulo di Image and video processing and learning). A.A. 2024/25, COMMUNICATIONS ENGINEERING. Collaboratore del corso
• Signal, image and video processing and learning (modulo di Image and video processing and learning). A.A. 2023/24, COMMUNICATIONS ENGINEERING. Titolare del corso
• Statistical learning and neural networks. A.A. 2023/24, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Titolare del corso
• Signal, image and video processing and learning (modulo di Image and video processing and learning). A.A. 2022/23, COMMUNICATIONS ENGINEERING. Titolare del corso
• Statistical learning and neural networks. A.A. 2022/23, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Titolare del corso
• Image and video processing. A.A. 2021/22, COMMUNICATIONS AND COMPUTER NETWORKS ENGINEERING (INGEGNERIA TELEMATICA E DELLE COMUNICAZIONI). Collaboratore del corso
• Statistical learning and neural networks. A.A. 2021/22, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Titolare del corso
• Multimedia signal processing. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
• Statistical learning and neural networks. A.A. 2020/21, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Titolare del corso
• Multimedia signal processing. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Titolare del corso
• Statistical learning and neural networks. A.A. 2019/20, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Titolare del corso

Bachelor of Science

• Elaborazione di immagine e video. A.A. 2025/26, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso
• Elaborazione di immagine e video. A.A. 2024/25, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Titolare del corso
• Elaborazione di immagine e video. A.A. 2023/24, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso
• Elaborazione di immagine e video. A.A. 2022/23, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso
• Elaborazione di immagine e video. A.A. 2021/22, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso
• Elaborazione di immagine e video. A.A. 2020/21, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso
• Elaborazione di immagine e video. A.A. 2019/20, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso

Projects funded by commercial contracts

• Corso di formazione su "IoT machine learning and neutral networks", (2018-2019) - Responsabile Scientifico
  Commercial contracts

• Compressed sensing for privacy-preserving data processing (DET)
• Compressive imaging (DET)
• Deep learning for image analysis (DET)
• Deep learning for image restoration (DET)
• Deep learning for prediction of geomagnetic events (DET)
• Deep learning for video compression (DET)
• Energy-efficient protocols for Internet of Things (IoT) (DET)
• Generative deep learning models (DET)
• Graph-based transforms for image processing (DET)
• Image rendering via neural radiance fields (DET)
• Multimedia forensics (DET)
• Satellite image compression (DET)
• Secure authentication based on deep learning (DET)

• IPL Group (DET)

Projects funded by competitive calls

• SURPRISE - LC-SPACE-14-TEC-2018-2019, (2020-2023) - Responsabile Scientifico
  UE-funded research - H2020 - Industrial Leadership – LEIT - SPACE
• EO-ALERT - COMPET-3-2017, (2018-2020) - Responsabile Scientifico
  UE-funded research - H2020 - Industrial Leadership – LEIT - SPACE
• ToothPic, a large-scale camera identification systembased on compressed fingerprints, (2015-2017) - Responsabile Scientifico
  UE-funded research - H2020 - Excellent Science - ERC
• CRISP-TOWARDS COMPRESSIVE INFORMATION PROCESSING SYSTEM, (2011-2016) - Responsabile Scientifico
  UE-funded research - VII PQ - Ideas

Projects funded by commercial contracts

• Ottimizzazione e Gestione delle Reti di Telecomunicazione mediante Intelligenza Artificiale e Machine Learning, (2025-2025) - Responsabile Scientifico
  Commercial Research
• Copernicus Sentinel-2 Next Generation Phase A/B1 (Phase B1), (2025-2026) - Responsabile Scientifico
  Commercial Research
• Co-finanziamento del 50% di una posizione di dottorato di ricerca 39° ciclo finalizzato alla realizzazione di attività di ricerca dal titolo “Bringing change detection on board satellites for low-latency damage assessment”, (2024-2027) - Responsabile Scientifico
  Participation in expenses for research activity
• Copernicus Sentinel-2 Next Generation Phase A/B1 (Phase A), (2024-2024) - Responsabile Scientifico
  Commercial Research
• “Study toward enhancing reliability and timeliness of Vigil mission predictions through Machine Learning (Vigil-ML)”, (2024-2025) - Responsabile Scientifico
  Commercial Research
• Super-Resolution Algorithms, (2023-2023) - Responsabile Scientifico
  Commercial Research
• “Machine Learning for Self-Organizing Networks”, (2022-2022) - Responsabile Scientifico
  Commercial Research
• “Deep Learning applied to mobile networks”, (2022-2022) - Responsabile Scientifico
  Commercial Research
• Deep learning applied to mobile networks - Progetto N. 12, (2021-2021) - Responsabile Scientifico
  Commercial Research
• Classification of network behaviour - Progetto N. 11, (2021-2021) - Responsabile Scientifico
  Commercial Research
• Obfuscation layer for biometric authentication, (2020-2021) - Responsabile Scientifico
  Commercial Research
• Machine Learning for mobile networks - Progetto N. 12 , (2020-2020) - Responsabile Scientifico
  Commercial Research
• Visual monitoring Deep Learning based - Progetto N. 13, (2020-2020) - Responsabile Scientifico
  Commercial Research
• Machine learning for mobile networks, (2019-2019) - Responsabile Scientifico
  Commercial Research
• Content-based optimization for video streaming services, (2019-2019) - Responsabile Scientifico
  Commercial Research
• Secure authentication systems, (2019-2020) - Responsabile Scientifico
  Commercial Research
• Deep Learning in Space: Solar Flares detection, (2018-2019) - Responsabile Scientifico
  Commercial Research
• Phase A/B1 of HyperSpectral Imaging Mission, (2018-2018) - Responsabile Scientifico
  Commercial Research
• Secure authentication systems, (2018-2019) - Responsabile Scientifico
  Commercial Research
• Visual monitoring Deep Learning based, (2018-2018) - Responsabile Scientifico
  Commercial Research
• Progetto n. 5 - Visual monitoring Deep Learning based, (2017-2017) - Responsabile Scientifico
  Commercial Research
• NEW TECHNIQUES FOR MULTY-HIPERSPECTRAL LOSSY COMPRESSION FOR VERY HIGH DATA RATE INSTRUMENTS, (2012-2013) - Responsabile Scientifico
  Commercial Research

• Luca Dordoni. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39^th cycle, 2024-in progress)
  Research subject: The thesis aims at developing techniques for deep learning-based multi-modal image processing
  
  Big Data, Machine Learning, Neural Networks and Data Science
  Big Data, Machine Learning, Neural Networks and Data Science
• Gabriele Inzerillo. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39^th cycle, 2024-in progress)
  Research subject: Bringing change detection on board satellites for low-latency damage assessment
  
  Big Data, Machine Learning, Neural Networks and Data Science
  Multimedia Signal Processing
  Big Data, Machine Learning, Neural Networks and Data Science
  Multimedia Signal Processing
• Davide Piccinini. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39^th cycle, 2024-in progress)
  Research subject: My work focuses on remote sensing applications and deployment of deep learning techniques.
  
  Big Data, Machine Learning, Neural Networks and Data Science
  Big Data, Machine Learning, Neural Networks and Data Science
• Alessandro Scarciglia. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39^th cycle, 2024-in progress)
• Ziyao Yi. Programme in Intelligenza Artificiale (39^th cycle, 2023-in progress)
• Luca Savant Aira. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (38^th cycle, 2022-in progress)
  Research subject: Multi-image restoration exploiting neural implicit world models
  
  Big Data, Machine Learning, Neural Networks and Data Science
  Multimedia Signal Processing
  Big Data, Machine Learning, Neural Networks and Data Science
  Multimedia Signal Processing
  Big Data, Machine Learning, Neural Networks and Data Science
  Multimedia Signal Processing
• Emanuele Aiello. Programme in Intelligenza Artificiale (37^th cycle, 2021-2025)
  Thesis: Generative and Multimodal Learning for Vision and Language
  
  Computer vision and image understanding
  3D vision and 3D reconstruction
  Self-supervised and semi-supervised learning
  Generative models and Generative Adversarial Networks
  Computer vision and image understanding
  3D vision and 3D reconstruction
  Self-supervised and semi-supervised learning
  Generative models and Generative Adversarial Networks
• Shuyang Li. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36^th cycle, 2020-2024)
  Thesis: Data-Driven Mobile Traffic Modelling in Cellular Networks
  
  Big Data, Machine Learning, Neural Networks and Data Science
  Communication and Computer Networks
• Antonio Montanaro. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36^th cycle, 2020-2024)
  Thesis: Exploring the latent geometry for representation learning
  
  Big Data, Machine Learning, Neural Networks and Data Science
  Geo-positioning, Navigation Systems and Remote sensing
  Big Data, Machine Learning, Neural Networks and Data Science
  Geo-positioning, Navigation Systems and Remote sensing
• Francesca Pistilli. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (35^th cycle, 2019-2023)
  Thesis: Learning robust and efficient point cloud representations
  
  Big Data, Machine Learning, Neural Networks and Data Science
  Multimedia Signal Processing
  Big Data, Machine Learning, Neural Networks and Data Science
  Multimedia Signal Processing

• Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico (2025)
  Efficient Onboard Multitask AI Architecture Based on Self-Supervised Learning. In: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, vol. 18, pp. 828-838. ISSN 1939-1404
  Contributo su Rivista
• SAVANT AIRA, Luca; Valsesia, Diego; Magli, Enrico (2025)
  Modeling Uncertainty for Gaussian Splatting. In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, pp. 1-7. ISSN 2162-237X
  Contributo su Rivista
• Montanaro, A.; SAVANT AIRA, Luca; Aiello, E.; Valsesia, D.; Magli, E. (2024)
  MOTIONCRAFT: Physics-based Zero-Shot Video Generation. In: 38th Conference on Neural Information Processing Systems, NeurIPS 2024, Vancouver (Can), 10 - 15 December 2024. ISSN 1049-5258
  Contributo in Atti di Convegno (Proceeding)
• Ali, Arslan; Migliorati, Andrea; Bianchi, Tiziano; Magli, Enrico (2024)
  Cancelable templates for secure face verification based on deep learning and random projections. In: EURASIP JOURNAL ON INFORMATION SECURITY, pp. 1-18. ISSN 2510-523X
  Contributo su Rivista
• Li, Shuyang; Magli, Enrico; Francini, Gianluca; Ghinamo, Giorgio (2024)
  Deep learning based prediction of traffic peaks in mobile networks. In: COMPUTER NETWORKS, vol. 240. ISSN 1389-1286
  Contributo su Rivista
• Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico (2024)
  Onboard Deep Lossless and Near-Lossless Predictive Coding of Hyperspectral Images With Line-Based Attention. In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, vol. 62. ISSN 0196-2892
  Contributo su Rivista
• Dordoni, Luca; Migliorati, Andrea; Fracastoro, Giulia; Fosson, Sophie; Bianchi, Tiziano; ... (2024)
  Sparsification of Deep Neural Networks via Ternary Quantization. In: 34th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2024, London (UK), 2024, pp. 1-6. ISSN 2161-0371. ISBN: 9798350372250
  Contributo in Atti di Convegno (Proceeding)
• Migliorati, Andrea; Fracastoro, Giulia; Fosson, Sophie; Bianchi, Tiziano; Magli, Enrico (2024)
  ConQ: Binary Quantization of Neural Networks via Concave Regularization. In: 34th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2024, London (UK), 22-25 September 2024, pp. 1-6. ISSN 2161-0371. ISBN: 9798350372250
  Contributo in Atti di Convegno (Proceeding)
• Agnetti, Giacomo; Migliorati, Andrea; Mari, Daniele; Bianchi, Tiziano; Milani, Simone; ... (2024)
  Ternary Neural Networks for Gait Identification in Wearable Devices. In: 16th IEEE International Workshop on Information Forensics and Security, WIFS 2024, Rome (Ita), 02-05 December 2024, pp. 1-6. ISSN 2157-4766. ISBN: 979-8-3503-6442-2
  Contributo in Atti di Convegno (Proceeding)
• Aiello, E.; Agarla, M.; Valsesia, D.; Napoletano, P.; Bianchi, T.; Magli, E.; Schettini, ... (2024)
  Synthetic Data Pretraining for Hyperspectral Image Super-Resolution. In: IEEE ACCESS, vol. 12, pp. 65024-65031. ISSN 2169-3536
  Contributo su Rivista
• Aira, Luca Savant; Valsesia, Diego; Molini, Andrea Bordone; Fracastoro, Giulia; Magli, ... (2024)
  Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow. In: IEEE ACCESS, vol. 12, pp. 188902-188913. ISSN 2169-3536
  Contributo su Rivista
• Li, S.; Magli, E.; Francini, G. (2024)
  Exploring Time Series Variability: A Training-Efficient Mobile Traffic Predictor. In: 2024 IEEE Wireless Communications and Networking Conference, Dubai (UAE), 21-24 April 2024. ISSN 1525-3511. ISBN: 979-8-3503-0358-2
  Contributo in Atti di Convegno (Proceeding)
• Valsesia, Diego; Magli, Enrico (2024)
  Deep Learning Methods for Satellite Image Super-Resolution. In: Signal and image processing for remote sensing / S.N., S.L., Taylor and Francis, pp. 228-238. ISBN: 9781003382010
  Contributo in Volume
• Magli, E; Angarano, S.; Bassetti, S.; Bianchi, T.; Boccardo, P.; Bucci, S.; Chiaberge, ... (2024)
  A multi-service edge-AI architecture based on self-supervised learning. In: 75th International Astronautical Congress, Milan (Ita), 14-18 October 2024, pp. 1-9
  Contributo in Atti di Convegno (Proceeding)
• Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico (2024)
  Onboard hyperspectral image compression with deep line-based predictove architectures. In: 9th International Workshop on On-Board Payload Data Compression, Las Palmas De Gran Canaria (Esp), 2-4 October 2024
  Contributo in Atti di Convegno (Proceeding)
• Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico; Fiengo, Aniello (2024)
  A new architecture for onboard change detection based on deep learning. In: 9th International Workshop on On-Board Payload Data Compression, Las Palmas De Gran Canaria (Esp), 2-4 October 2024
  Contributo in Atti di Convegno (Proceeding)
• Inzerillo, Gabriele; Valsesia, Diego; Magli, Enrico (2024)
  Multitask AI for onboard intelligence in Earth observation missions. In: 2024 Small Satellites Systems and Services Symposium, Palma de Mallorca (Esp), 27-31 May 2024
  Contributo in Atti di Convegno (Proceeding)
• Telloni, Daniele; Sorriso-Valvo, Luca; Zank, Gary P.; Velli, Marco; Andretta, Vincenzo; ... (2024)
  Metis Observation of the Onset of Fully Developed Turbulence in the Solar Corona. In: THE ASTROPHYSICAL JOURNAL LETTERS, vol. 973, pp. 1-9. ISSN 2041-8205
  Contributo su Rivista
• Impieri, Matteo; Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico (2024)
  Degradation-Aware Self-Supervised Multi-Temporal Super-Resolution. In: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens (Greece), 07-12 July 2024, pp. 1099-1102. ISBN: 979-8-3503-6032-5
  Contributo in Atti di Convegno (Proceeding)
• Valsesia, Diego; Bianchi, Tiziano; Magli, Enrico (2024)
  Hybrid Recurrent-Attentive Neural Network for Onboard Predictive Hyperspectral Image Compression. In: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens (Greece), 07-12 July 2024, pp. 7898-7902. ISBN: 979-8-3503-6032-5
  Contributo in Atti di Convegno (Proceeding)
• Aiello, Emanuele; Valsesia, Diego; Magli, Enrico (2024)
  Fast Inference in Denoising Diffusion Models via MMD Finetuning. In: IEEE ACCESS, vol. 12, pp. 106912-106923. ISSN 2169-3536
  Contributo su Rivista
• Bianchi, Tiziano; Migliorati, Andrea; Magli, Enrico (2024)
  Gaussian Class-Conditional Training for Secure and Robust Deep Neural Networks. In: Signal Processing and Learning for Next Generation Multimedia / Bernardini R., Marcenaro L., Rinaldo R., Zanuttigh P., S.L., Texmat, pp. 55-77. ISBN: 9788894982800
  Contributo in Volume

• Improved prediction of mobile network behavior with occurrences of high concentration of people. national and international Patent
  Inventors: Shuyang Li Enrico Magli
• Sistema di offuscamento di chiavi crittografiche basato sull'impronta digitale compressa di un sensore fotografico. national and international Patent
  Inventors: Tiziano Bianchi Enrico Magli Diego Valsesia
• Methods and apparatuses for encoding and decoding digital images or video streams. national and international Patent
  Inventors: Giulia Fracastoro Enrico Magli
• Methods and apparatuses for encoding and decoding digital images through superpixels. national and international Patent
  Inventors: Giulia Fracastoro Enrico Magli
• Apparatuses and methods for encoding and decoding images. national and international Patent
  Inventors: Giulia Fracastoro Enrico Magli
• Sistema di autenticazione di un utente basato su un impronta digitale compressa di un sensore fotografico. national and international Patent
  Inventors: Tiziano Bianchi Enrico Magli Diego Valsesia
• Convolutional neural networks, particularly for image analysis. international Patent
  Inventors: Enrico Magli
• Tecnica di recupero su larga scala di immagini acquisite da un dato dispositivo basata su impronte del sensore compresse tramite proiezioni aleatorie. national and international Patent
  Inventors: Tiziano Bianchi Enrico Magli Diego Valsesia
• Tecnica di riconoscimento di fotocamere attraverso impronta digitale del sensore compressa tramite proiezioni aleatorie, e sue applicazioni a problemi di identificazione. national and international Patent
  Inventors: Tiziano Bianchi Enrico Magli Diego Valsesia
• Distributed arithmetic coding. international Patent
  Inventors: Enrico Magli Gabriella Olmo