Dr. Elena Cuoco is Full Professor at the University of Bologna since 2024, she conducts research in the field of gravitational waves. She is a member of the LIGO/Virgo/KAGRA collaboration, where she works on data analysis and the application of artificial intelligence techniques for detector characterization and the search for gravitational signals of astrophysical origin. From 2018 to 2023, she served as the Action Chair for COST Action CA17137, dedicated to the application of machine learning to gravitational wave science. Author of numerous scientific publications, she is involved in various initiatives at the European and international levels.

• 1. Neural network time-series classifiers for gravitational-wave searches in single-detector periods.- 2. A simple self similarity-based unsupervised noise monitor for gravitational-wave detectors.- 3 Simulation of transient noise bursts in gravitational wave interferometers.- 4. Efficient ML Algorithms for Detecting Glitches and Data Patterns in LIGO Time Series.- 5. Denoising gravitational-wave signals from binary black holes with dilated convolutional autoencoder.

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Dr. Elena Cuoco is Full Professor at the University of Bologna since 2024, she conducts research in the field of gravitational waves. She is a member of the LIGO/Virgo/KAGRA collaboration, where she works on data analysis and the application of artificial intelligence techniques for detector characterization and the search for gravitational signals of astrophysical origin. From 2018 to 2023, she served as the Action Chair for COST Action CA17137, dedicated to the application of machine learning to gravitational wave science. Author of numerous scientific publications, she is involved in various initiatives at the European and international levels.

• 1. Neural network time-series classifiers for gravitational-wave searches in single-detector periods.- 2. A simple self similarity-based unsupervised noise monitor for gravitational-wave detectors.- 3 Simulation of transient noise bursts in gravitational wave interferometers.- 4. Efficient ML Algorithms for Detecting Glitches and Data Patterns in LIGO Time Series.- 5. Denoising gravitational-wave signals from binary black holes with dilated convolutional autoencoder.

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Dr. Elena Cuoco is Full Professor at the University of Bologna since 2024, she conducts research in the field of gravitational waves. She is a member of the LIGO/Virgo/KAGRA collaboration, where she works on data analysis and the application of artificial intelligence techniques for detector characterization and the search for gravitational signals of astrophysical origin. From 2018 to 2023, she served as the Action Chair for COST Action CA17137, dedicated to the application of machine learning to gravitational wave science. Author of numerous scientific publications, she is involved in various initiatives at the European and international levels.

• 1. Neural network time-series classifiers for gravitational-wave searches in single-detector periods.- 2. A simple self similarity-based unsupervised noise monitor for gravitational-wave detectors.- 3 Simulation of transient noise bursts in gravitational wave interferometers.- 4. Efficient ML Algorithms for Detecting Glitches and Data Patterns in LIGO Time Series.- 5. Denoising gravitational-wave signals from binary black holes with dilated convolutional autoencoder.

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