Prof. Luca Faes | Computational neuroscience | Best Researcher Award
Professor, University of Palermo, Italy
Prof. Luca Faes is a Full Professor at the Department of Engineering, University of Palermo, Italy. He earned his MSc in Electronic Engineering (1998) from the University of Padova and a PhD in Electronic Devices (2003) from the University of Trento. His research focuses on biomedical signal processing, information dynamics, and physiological networks. He has held positions at institutions such as the Bruno Kessler Foundation, University of Trento, and has been a visiting researcher in the USA, Belgium, and Brazil. A recipient of multiple awards, including the IEEE Senior Member recognition, Prof. Faes has been named among the Worldβs Top 2% Scientists by Stanford University. He actively contributes to academic programs, Erasmus+ initiatives, and editorial boards in biomedical engineering.
Publication Profile
Education
Professional Experience
Academic Contributions
Teaching Contributions
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Publication Top Notes
π Measures and Models of Brain-Heart Interactions β IEEE Reviews in Biomedical Engineering, 2025 Β π§ β€οΈ
π Chaotic Dynamics and Synchronization under Tripartite Couplings β Chaos, Solitons and Fractals, 2024 Β πβ‘
π Comparison of Feature Selection Methods for Physiological Stress Classification β Physiological Measurement, 2024 Β ππ
π Disentangling High-Order Effects in Transfer Entropy β Physical Review Research, 2024 | 3 citations ππ‘
π Assessing Granger Causality in Cerebrovascular Variability β IEEE Transactions on Biomedical Engineering, 2024 | 2 citations π₯π§
π Entropy Rate Measures for Time Series Complexity β Biocybernetics and Biomedical Engineering, 2024 | 4 citations π’π
π Wearable Ring-Shaped Biomedical Device for Physiological Monitoring β Biosensors, 2024 | 3 citations βπ‘
π Describing Cerebral Autoregulation via State Space Methods β Conference Paper, 2024 π₯π
π Decomposing Transfer Entropy in Cardiovascular Interactions β Conference Paper, 2024 β€οΈπ
π Gender Differences in Cardiovascular Variability Entropy β Conference Paper, 2024 Β π»π«