Michael Neri

Contacts

Department of Industrial, Electronic and Mechanical Engineering, Roma Tre University

Via Vito Volterra 62, 00146, Rome, Italy

michael.neri@uniroma3.it

Researchgate profile

Gitlab profile

Weights & Biases profile

Biography

Michael Neri received the Laurea (B. Sc.) in Information Engineering from University of Padua in 2019 and the Laurea Magistrale (M. Sc.) in ICT for Internet & Multimedia from University of Padova in 2021. He was a visiting PhD student at Tampere University of Technology under the supervision of Prof. Virtanen in 2023. He is now a Ph.D. student (XXXVII cycle) in Applied Electronics at Roma Tre University at the Department of Industrial, Electronic and Mechanical Engineering.

Research

His main research interests are in the area of Computer Vision, Deep Learning and audio processing.

Projects

Ongoing projects

  • RAILGAP
    The RAILGAP project aims at using GNSS for rail positioning to allow a safer and smarter mobility. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No: 101004129.
    Find out more at https://railgap.eu/.
  • INSECTT – Intelligent Secure Trustable Things
    The INSECTT project aims at providing intelligent secure and trustable systems for industrial applications combining the Internet of Things paradigm with Artificial Intelligence. It is a H2020 ECSEL EU Project (Grant Agreement Number 876038).
    Find out more at https://www.insectt.eu/
  • ISEEYOO – AI-based Network Anomaly Detection for CPS exploiting 2D data representation
    The ISEEYOO Project aims at designing and implementing an anomaly detection system for monitoring the information collected from a network of Cyber Physical Systems (CPSs) in the communication phase. It is founded under the University of Padova “SEED Research Grants”.
    Find out more at https://sites.google.com/view/iseeyoo.

Concluded projects

  • VOLIERA – Video Odometry with Lidar and EGNSS for ERTMS Applications
    The VOLIERA project aims at defining a multi-sensor positioning system for the railway scenario. The positioning framework involves GNSS, IMU, LIDAR, stereo cameras and time-of-flight cameras. VOLIERA is co-funded by the ESA – NAVISP – 2 program.
    Find out more at https://voliera.eu/.

Publications

Journal Publications

2023

Lamichhane, Kamal; Neri, Michael; Paudyal, Pradip; Battisti, Federica; Carli, Marco

No-Reference Light Field Image Quality Assessment Exploiting Saliency Journal Article Forthcoming

In: IEEE Transactions on Broadcasting, Forthcoming.

Links | BibTeX

2022

Neri, Michael; Battisti, Federica; Neri, Alessandro; Carli, Marco

Sound Event Detection for Human Safety and Security in Nosiy Environments Journal Article

In: IEEE Access , 2022.

Links | BibTeX

Conference Proceedings

2022

Luca, Pallotta; Neri, Michael; Buongiorno, Martino; Neri, Alessandro; Giunta, Gaetano

A Machine Learning-based Approach for Audio Signals Classification using Chebychev Moments and Mel-Coefficient Inproceedings

In: 7th International Conference on Frontiers of Signal Processing (ICFSP), pp. 120-124, 2022.

Links | BibTeX

Neri, Michael; Battisti, Federica

3D Object Detection On Synthetic Point Clouds For Railway Applications Inproceedings

In: 10th European Workshop on Visual Information Processing (EUVIP), 2022.

Links | BibTeX

Neri, Michael; Ferrarotti, Anna; de Luisa, Luca; Salimbeni, Andrea; Carli, Marco

ParalMGC Multiple Audio Representations for Synthetic Human Speech Attribution Inproceedings

In: 10th European Workshop on Visual Information Processing (EUVIP), 2022.

Links | BibTeX

Baldoni, Sara; Battisti, Federica; Brizzi, Michele; Neri, Michael; Neri, Alessandro

A Semantic Segmentation-based Approach for Train Positioning Inproceedings

In: ITM/PTTI Institute Of Navigation (ION), pp. 1380-1391, 2022.

Links | BibTeX