Hamza Amrani is currently a Ph.D. student under the supervision of Prof. Paolo Napoletano and Prof. Daniela Micucci 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 University of Milano-Bicocca, respectively in 2018 and 2021. From 2019 to 2021 he obtained a research grant on the SIDERA^B project.
Journal Articles
Proceedings
2026 Authenticated Robotic Teleoperation with Task Recognition Stan, I., Amrani, H., Napoletano, P., D'Auria, D. (2026). Authenticated Robotic Teleoperation with Task Recognition. IEEE CONSUMER ELECTRONICS MAGAZINE, 15(1), 33-40 [10.1109/MCE.2025.3546049].2025 Leveraging dataset integration and continual learning for human activity recognition Amrani, H., Micucci, D., Mobilio, M., Napoletano, P. (2025). Leveraging dataset integration and continual learning for human activity recognition. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 16(7-8), 5213-5234 [10.1007/s13042-025-02569-1].2024 Deep Representation Learning for Open Vocabulary Electroencephalography-to-Text Decoding 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].
2026 Deep Multi-band EEG Learning for Motor Imagery Classification with Dry Electrodes Amrani, H., Micucci, D., Napoletano, P. (2026). Deep Multi-band EEG Learning for Motor Imagery Classification with Dry Electrodes. In Image Analysis and Processing – ICIAP 2025 23rd International Conference, Rome, Italy, September 15–19, 2025, Proceedings, Part II (pp.339-350). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-032-10192-1_28].2024 Responsive Teleoperation of a Robotic Arm via Wearable Inertial Sensors 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 (pp.263-268). Institute of Electrical and Electronics Engineers Inc. [10.1109/GEM61861.2024.10585650].2024 EEG Acquisition and Motor Imagery Classification for Robotic Control 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].2023 Emotion Personalization with Machine Learning using EEG Signals and Dry Electrodes Amrani, H., Micucci, D., Nalin, M., Napoletano, P. (2023). Emotion Personalization with Machine Learning using EEG Signals and Dry Electrodes. In Proceedings of the IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023 (pp.132-137). Institute of Electrical and Electronics Engineers Inc. [10.1109/metroxraine58569.2023.10405681].2023 Streamlining Data Collection: A Platform Supporting the Design of Acquisition Protocols of Brain Signals Amrani, H., Alexandru Andrei, N., Micucci, D., Napoletano, P. (2023). Streamlining Data Collection: A Platform Supporting the Design of Acquisition Protocols of Brain Signals. Intervento presentato a: Italian Conference on ICT for Smart Cities & Communities (I-CiTies 2023), Salerno, Italia.2022 Unsupervised Deep Learning-based clustering for Human Activity Recognition 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].2021 Personalized Models in Human Activity Recognition Using Deep Learning Amrani, H., Micucci, D., Napoletano, P. (2021). Personalized Models in Human Activity Recognition Using Deep Learning. In Proceedings of the International Conference on Pattern Recognition (ICPR) (pp.9682-9688). IEEE [10.1109/ICPR48806.2021.9412140].2021 Homogenization of Existing Inertial-Based Datasets to Support Human Activity Recognition Amrani, H., Micucci, D., Mobilio, M., Napoletano, P. (2021). Homogenization of Existing Inertial-Based Datasets to Support Human Activity Recognition. In NeurIPS Data-Centric AI Workshop (DCAI 2021).