Assistant Professor
My research focuses on optimization, machine learning, and image processing. I'm naturally curious and enjoy exploring new ideas, solving challenging problems, turning theory into practice, and collaborating with people. I appreciate simplicity.
Google Scholar · Updated 2026-10-18
33rd Conference on Neural Information Processing Systems (NeurIPS), Canada, 2019
This work approaches hierarchical clustering through the lens of continuous optimization. By developing a differentiable relaxation of ultrametric distances over a graph, it enables gradient-based optimization of hierarchical structures with flexible objectives and constraints.
International Geoscience and Remote Sensing Symposium, USA, 2017
SAR-CNN removes speckle noise from SAR images. Instead of trying to directly predict a clean image, the network learns the noise itself and subtracts it out. Training is performed on multi-temporal SAR data in a supervised manner.
33rd Conference on Neural Information Processing Systems (NeurIPS), Canada, 2019
GOT is a framework that leverages optimal transport theory to compare graphs. It provides a principled way to measure the similarity between graphs by considering the cost of transforming one graph into another.
IEEE Transactions on Signal and Information Processing over Networks, 2020
OrthoNet is a neural network that learns a graph embedding using an unsupervised objective inspired by spectral clustering. By shaping the embedding around the graph’s cluster structure, it produces vertex representations that can be directly partitioned with K-means.
No publications match your search.
IEEE international geoscience and remote sensing symposium (IGARSS), 2017
IEEE Transactions on Information Forensics and Security 9 (4), 554-567, 2014
Advances in Neural Information Processing Systems (NeurIPS) 32, 2019
Signal, Image and Video Processing 9 (8), 1737-1749, 2015
Proceedings of the 2nd ACM Workshop on Multimedia in Forensics, Security and Intelligence, 2010
IEEE transactions on Image Processing 23 (12), 5531-5544, 2014
IEEE Transactions on Geoscience and Remote Sensing 55 (10), 5467-5480, 2017
IEEE International Conference on Acoustics, Speech and Signal …, 2014
SoftwareX 10, 100335, 2019
17th International Conference on Digital Signal Processing (DSP), 1-6, 2011
Advanced Intelligent Systems 3 (11), 2100073, 2021
Advances in neural information processing systems 32, 2019
Technical report, 2020
Cytometry Part A 99 (11), 1123-1133, 2021
Signal Processing 174, 107628, 2020
Computational Optimization and Applications 72 (3), 707-726, 2019
International conference on neural information processing, 162-174, 2018
Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7710-7718, 2022
IEEE Transactions on Image Processing 26 (1), 479-489, 2016
IEEE Transactions on Signal and Information Processing over Networks 8, 353-363, 2022
IEEE Transactions on Signal and Information Processing over Networks 6, 152-162, 2020
IEEE 15th International Workshop on Multimedia Signal Processing (MMSP …, 2013
IEEE Transactions on Information Theory 64 (2), 1092-1104, 2017
IEEE International Conference on Acoustics, Speech and Signal …, 2013
International Conference on Neural Information Processing, 300-307, 2020
EURASIP Journal on Advances in Signal Processing 2020 (1), 26, 2020
Visual Communications and Image Processing, 1-6, 2012
Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14350-14358, 2024
Expert Systems with Applications 227, 120238, 2023
Expert Systems with Applications 169, 114206, 2021
IEEE International Conference on Image Processing (ICIP), 211-215, 2022
IEEE International Conference on Acoustics, Speech and Signal Processing, 2012
arXiv preprint, 2015
22nd European Signal Processing Conference (EUSIPCO), 1607-1611, 2014
RSC advances 11 (29), 17603-17610, 2021
IEEE International Conference on Image Processing (ICIP), 1896-1900, 2022
Signal Processing 224, 109597, 2024
Micromachines 11 (12), 1084, 2020
International Conference on Discrete Geometry and Mathematical Morphology, 2024
IEEE 26th International Workshop on Machine Learning for Signal Processing, 2016
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
25th European Signal Processing Conference (EUSIPCO), 291-295, 2017
28th European Signal Processing Conference (EUSIPCO), 1986-1990, 2021
GRETSI 2017, 1-4, 2017
IEEE International Conference on Acoustics, Speech and Signal Processing, 2014
34th British Machine Vision Conference, 2023
IEEE Access 9, 156482-156491, 2021
Iberoamerican Congress on Pattern Recognition, 201-213, 2023
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (5), 1-6, 2022
IEEE International Conference on Image Processing (ICIP), 2157-2161, 2016
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
8th International Conference on Models and Technologies for Intelligent Systems, 2023
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
IEEE International Conference on Image Processing (ICIP), 16-20, 2020
arXiv preprint, 2024
IEEE 4th International Conference on Image, Vision and Computing, 2019
IEEE 28th International Conference on Intelligent Transportation Systems, 2025
IEEE International Conference on Image Processing (ICIP), 206-210, 2022
Signal Processing with Adaptive Sparse Structured Representations (SPARS), 2015
arXiv preprint, 2024
Proceedings of the 20th European Signal Processing Conference (EUSIPCO), 2012
SETAC North America 41st Annual Meeting, 2020
arXiv preprint, 2023
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Neural networks in theory and practice, with a focus on training workflows, convolutional architectures, and representation learning.
View courseAn introduction to generative language models, covering tokenization, decoder-only transformers, pretraining, and post-training.
View courseSequential decision-making through the lens of graph search, dynamic programming, Markov decision processes, and reinforcement learning.
View courseSolving continuous optimization problems with black-box methods and gradient-based algorithms in constrained and unconstrained settings.
View courseI received my engineering degree in Computer Science from the University of Naples Federico II, Italy, in 2010. From 2010 to 2011, I worked as a research engineer at Telecom ParisTech, France, where I later received my Ph.D. degree in 2015. After a postdoctoral position at the University of Naples Federico II, I joined ESIEE Paris, France, as an assistant professor.
I conduct research, publish papers, supervise Ph.D. students, work on projects, and teach courses. Since 2021, I have been co-directing the Data Science and Artificial Intelligence master's program.
Developed algorithms for SAR image despeckling using computer vision and convolutional neural networks.
Developed optimization methods for image processing and machine learning, resulting in 15 publications.
Implemented optimization algorithms for disparity estimation in C++ with CUDA acceleration.
Graduated with a GPA of 29.8 / 30. My thesis focused on detecting image forgeries using camera fingerprints.
Graduated with a GPA of 27.5 / 30.
