Personal profile
Research interests
Using my expertise in signal processing and machine learning, I study functional neuroimaging time series (EEG, fMRI, fUS) to better understand healthy and pathological brain activity, with a particular focus on epilepsy.
Education/Academic qualification
PhD Electrical Engineering , KU Leuven
Award Date: 2 Jun 2014
MSc Computer and Electronic Engineering, Pazmany Peter Catholic Univ, Fac Informat Technol & Bion
Award Date: 30 Jun 2009
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Brain Connectivity: From network science to tensor models
Hunyadi, B. & Aviyente, S., 1 Jul 2025, In: Ieee Signal Processing Magazine. 42, 4, p. 8-24 17 p.Research output: Contribution to journal › Article › Academic › peer-review
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Editorial for Special Issue on Accelerating Brain Discovery Through Data Science and Neurotechnology: Part 2 [From the Guest Editors]
Calhoun, V. D., Coyle, D., Escudero, J., Hunyadi, B. & Sui, J., 1 Sept 2025, In: Ieee Signal Processing Magazine. 42, 5, p. 5-7 3 p., 11306190.Research output: Contribution to journal › Editorial › Academic › peer-review
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Special Issue on Accelerating Brain Discovery Through Data Science and Neurotechnology: Part 1
Calhoun, V. D., Coyle, D., Escudero, J., Hunyadi, B. & Sui, J., 1 Jul 2025, In: Ieee Signal Processing Magazine. 42, 4, p. 5-7 3 p.Research output: Contribution to journal › Editorial › Academic › peer-review