Computer Engineering passionate about facing challenging engineering problems, and always
looking for improving his skills and knowledge.
I got my Ph.D. at the University of
Salerno where I do my research in the field of Artificial Intelligence. In particular, my work involves the
analysis of audio signals through Deep Learning algorithms and the study of Conversational AI at edge for
Social Robots.
Working as Machine Learning Researcher at the Huawei Ireland Research Center.
Working as applied scientist for the development of Speech-to-Text deep learning algorithms to deploy on board of the Alexa's devices. Data-driven model design based on large-scale databases.
Research project: "Speech analysis for Speaker Identification and Soft-Biometrics recognition based on Deep Learning methods". Collaboration with the IMAGE team of the GREYC laboratory.
Research grant for developing deep learning algorithms for Sound Event Detection.
Erasmus period in collaboration with the Intelligent Systems research group on the topic "Financial time series forecasting".
Development of the front-end and the back-end of cross-platform mobile applications for Android and iOS.
Neural Computing and Applications, Springer
Autonomous Robot, Springer
2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids)
Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR)
25th International Conference on Pattern Recognition (ICPR)
Journal of Neural Computing and Applications - Springer
3rd International Conference on Applications of Intelligent Systems
IEEE International Conference on Systems, Man and Cybernetics (SMC)
International Conference on Computer Analysis of Images and Patterns
Design and development of a Social Robotic application to be used in a National fair. Spoken Language Understanding, Dialogue Management, Soft-Biometrics Recognition, People Tracking at edge on a NVIDIA Jetson Xavier NX embedded system.
Python implementation of a Face Recognition systems working with just ONE image for each face to recognize. The system works in an open-set configuration, it means that it is able to reject not known people.
Python implementation of a Sound Event Detection systems working in real time.