Enrico Magli

Full Professor (L. 240)
Department of Electronics and Telecommunications (DET)

  • Member of Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory

Profile

Research interests

Artificial intelligence
Data compression
Deep learning
Image compression
Image processing
Inverse problems
Machine learning
Point clouds
Satellite images
Signal denoising

Biography

HIGHLIGHTS - Full Professor at the DET Department, Politecnico di Torino, Italy - Director of the Image Processing and Learning group - Coordinator of the “ICT for Smart Societies” M.Sc. degree program, and a committee member of the PhD program in Electrical, Electronic and Communications Engineering at Politecnico di Torino. - IEEE Fellow - Co-recipient of 2011 TGARS and 2019 IEEE Multimedia best paper awards - Published over 90 journal papers, with 5900+ citations and an h-index of 40 on Google Scholar - Obtained an ERC Starting grant (consolidator type) and an ERC Proof-of-Concept Grant - Founder and President of ToothPic start-up RESEARCH AREAS - Deep learning for image and video analysis - Image and video compression, compressive sensing, satellite imaging - Graph signal processing AWARDS AND RECOGNITIONS - Elevated to IEEE Fellow, “for contributions to compression and communication of remotely sensed imagery”, from Jan. 2017. - IEEE Distinguished Lecturer for CAS during 2015-2016, giving six keynote talks in Brazil, France, and Malaysia. - IEEE Geoscience and Remote Sensing Society 2011 Transactions Prize Paper Award. - IEEE Multimedia 2019 Best Paper Award. - Best Student Paper Award (3rd place) at the 2015 IEEE International Conference on Image Processing (ICIP), as senior author. - Best Paper Award at the 2019 IEEE International Conference on Image Processing (ICIP). - Best Paper Award at the ESA/CNES On-Board Payload Data Compression Workshop, 2016. - 2010 Best Reviewer Award of IEEE JSTARS. - 2011 and 2014 Best Associate Editor Award of IEEE Transactions on Circuits and Systems for Video Technology. - Member of the team that won the prize for “best 5 ideas” at the European Innovation Academy in 2016 with the ToothPic Authenticate business concept. - Member of the team that won the challenge “PROBA-V super-resolution” organized by the European Space Agency in 2019.

Scientific branch

IINF-03/A - Telecommunications
(Area 0009 - Industrial and information engineering)

Skills

ERC sectors

PE6_7 - Artificial intelligence, intelligent systems, multi agent systems
PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
PE7_7 - Signal processing

Awards and Honors

  • 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)
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Conferences

  • 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

Teaching

Collegi of the PhD programmes

  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2022/2023 (39. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2021/2022 (38. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2020/2021 (37. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2019/2020 (36. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2018/2019 (35. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2017/2018 (34. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2016/2017 (33. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2015/2016 (32. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2014/2015 (31. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2013/2014 (30. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRONICA, 2012/2013 (29. ciclo)
    Politecnico di TORINO
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Collegi of the degree programmes

Teachings

PhD

MostraNascondi A.A. passati

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

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Teaching and training projects

Projects funded by commercial contracts

Research

Research fields

Research groups

Research projects

Projects funded by competitive calls

Projects funded by commercial contracts

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Supervised PhD students

  • Luca Dordoni. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th cycle, 2024-in progress)
  • Gabriele Inzerillo. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th 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 (39th 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 (39th cycle, 2024-in progress)
  • Ziyao Yi. Programme in Intelligenza Artificiale (39th cycle, 2023-in progress)
  • Luca Savant Aira. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (38th 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 (37th cycle, 2021-in progress)
    Research subject: Multimodal Deep Learning and Generative Models
    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
    Computer vision and image understanding
    3D vision and 3D reconstruction
    Self-supervised and semi-supervised learning
  • Shuyang Li. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36th 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 (36th 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 (35th 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
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Publications

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