Projects per year
Personal profile
Research profile
Luan Fiorio is enrolled in the PhD program of the Signal Processing Systems Group at the Eindhoven University of Technology. His research is focused on audio processing and machine/deep learning.
Academic background
Luan holds a Bachelor's (2020) and a Master's (2022) degree in Electrical Engineering from Santa Catarina State University, Brazil. His undergraduate research focused on the emulation of tube preamplifiers using neural networks. In his master's thesis, he proposed a robust solution for the Virtual Reference Feedback Tuning (VRFT) method using swarm intelligence algorithms.
Education/Academic qualification
Electrical engineering, Master, Virtual Reference Feedback Tuning with robustness constraints: a swarm intelligence solution, Universidade do Estado de Santa Catarina
Mar 2020 → Feb 2022
Award Date: 14 Feb 2022
Electrical engineering, Bachelor, Universidade do Estado de Santa Catarina
Jan 2015 → Dec 2019
Award Date: 29 Feb 2020
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Collaborations and top research areas from the last five years
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Projects
- 1 Active
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RAISE SPS: Robust AI for SafE (radar) signal processing
Gonzalez Carabarin, L. (Project member), Youn, J. (Project member), Karanov, B. (Project member), Wei, X. (Project member), Fiorio, L. (Project member), Chen, C.-H. (Project member), An, M. (Project member), Belt, H. J. W. (Project member), Manders, T. (Project member), Lima de Oliveira, M. (Project member), Mischi, M. (Project Manager), Overdevest, J. (Project member), Bergmans, J. W. M. (Project member) & Alvarado, A. (Project communication officer)
1/06/21 → 31/05/28
Project: Third tier
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Spectral Masking With Explicit Time-Context Windowing for Neural Network-Based Monaural Speech Enhancement
Fiorio, L. (Corresponding author), Karanov, B., Defraene, B., David, J., Widdershoven, F. P., van Houtum, W. J. & Aarts, R. M., 18 Oct 2024, In: IEEE Access. 12, p. 154843-154852 10 p., 10721436.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile26 Downloads (Pure) -
Semi-Supervised Learning with Per-Class Adaptive Confidence Scores for Acoustic Environment Classification with Imbalanced Data
Fiorio, L. V., Karanov, B., David, J., van Houtum, W., Widdershoven, F. & Aarts, R. M., 5 May 2023, ICASSP 2023 -2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers, 5 p. 10097238Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
1 Citation (Scopus) -
Virtual reference feedback tuning with robustness constraints: A swarm intelligence solution
Fiorio, L. (Corresponding author), Remes, C., Wheeler, P. & de Novaes, Y., Aug 2023, In: Engineering Applications of Artificial Intelligence. 123, Part C, 13 p., 106490.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Citations (Scopus)42 Downloads (Pure) -
Data-driven estimation of system norms via impulse response
Fiorio, L. (Corresponding author), Remes, C. L., Campestrini, L. & de Novaes, Y. R., 8 Nov 2021, In: arXiv. 2021, 4 p., 2110.12310.Research output: Contribution to journal › Article › Academic
Open Access -
impulseest: A Python package for non-parametric impulse response estimation with input–output data
Fiorio, L. V. (Corresponding author), Remes, C. L. & de Novaes, Y. R., Jul 2021, In: SoftwareX. 15, 7 p., 100761.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Citations (Scopus)50 Downloads (Pure)