AMRANI HAMZA

Role
PhD Student  
Email
[email protected]

Biography

Hamza Amrani is a Ph.D. student at the Department of Informatics, Systems and Communication (DISCo) of the University of Milano-Bicocca. He obtained his Bachelor’s Degree and Master’s Degree in Computer Science at the University of Milano-Bicocca, respectively in 2018 and 2021. From 2019 to 2021 he obtained a research grant on the SIDERA^B project. He is part of the Imaging and Vision Laboratory.

Research

Artificial Intelligence, Deep Learning, Computer Vision, Signal Processing, Brain-Computer Interfaces, Brain and Neurocognitive Mechanisms of Speech Production

Publications

  • Fornaro, A., D'Auria, D., Amrani, H., Napoletano, P. (2024). Responsive Teleoperation of a Robotic Arm via Wearable Inertial Sensors. In 2024 IEEE Gaming, Entertainment, and Media Conference, GEM 2024. Institute of Electrical and Electronics Engineers Inc. [10.1109/GEM61861.2024.10585650]. Detail

  • Amrani, H., Micucci, D., Nalin, M., Napoletano, P. (2024). Emotion Personalization with Machine Learning using EEG Signals and Dry Electrodes. In 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023 - Proceedings (pp.132-137). Institute of Electrical and Electronics Engineers Inc. [10.1109/metroxraine58569.2023.10405681]. Detail

  • Amrani, H., Micucci, D., Nalin, M., Napoletano, P., Rizzi, I. (2024). EEG Acquisition and Motor Imagery Classification for Robotic Control. In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp.1-4). Institute of Electrical and Electronics Engineers Inc. [10.1109/EMBC53108.2024.10782723]. Detail

  • Amrani, H., Micucci, D., Napoletano, P. (2024). Deep Representation Learning for Open Vocabulary Electroencephalography-to-Text Decoding. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 1-12 [10.1109/JBHI.2024.3416066]. Detail

  • Amrani, H., Micucci, D., Napoletano, P. (2022). Unsupervised Deep Learning-based clustering for Human Activity Recognition. In IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin (pp.1-6). IEEE Computer Society [10.1109/ICCE-Berlin56473.2022.9937141]. Detail

Full list

Further links