PhD in Electronic Engineering (Communications), Federal University of Pernambuco (UFPE), Brazil - CNPq Research Fellow (2022–2026). Former guest researcher funded by CAPES (Dec 2023–Jul 2024) at the Dutch Institute for Emergent Phenomena (DIEP) (Institute for Advanced Study) and the Korteweg–de Vries Institute for Mathematics (KdVI), University of Amsterdam (UvA).
MSc in Electronic Engineering, UFPE - CNPq Research Fellow (2019–2021).
BSc in Electrical Engineering (Electronic Engineering track), UFPE (2012–2019). Former CAPES fellow in the Science Without Borders program (Germany, Mar 2015–Feb 2016), including one academic year at Hochschule Offenburg (Elektrotechnik / Informationstechnik).
RESEARCH, TEACHING, or OTHER INTERESTS
Electrical and Electronic Engineering, Biomedical Engineering, Computer Engineering, Computational Mathematics
18
Scopus Publications
27
Scholar Citations
3
Scholar h-index
Scopus Publications
Novel measures of pairwise time series interdependence using graph permutation entropies: An application to brain functional connectivity Juliano B. Lima, Breno C. Bispo, Eronides F. da Silva Neto, Pedro Morgado Computers in Biology and Medicine, 2026 Permutation entropy (PE) has been widely used to assess the complexity of time series and, in this context, has been applied to the analysis of various types of signals. In this paper, we advance the theory related to PE by defining joint entropy, mutual information, and quadratic dependence measures based on so-called graph permutation entropies. Similarly to their original counterparts commonly employed in information theory, the proposed measures aim to quantify the interdependence between time series. This is validated by applying the measures to the modeling of brain functional connectivity, using electromagnetic resonance imaging data selected from the Human Connectome Project. Our results are supported by performance scores that evaluate the precision of clustering operations through which known brain subsystems are detected in healthy subjects. In this context, we conclude that the introduced measures may achieve better performance than those obtained using previously proposed measures. • Novel PE-based joint entropy and mutual information measures are introduced. • Graph permutation entropy is used to capture multivariate signal dependencies. • Proposed measures outperform Pearson correlation and classical mutual information. • Brain functional connectivity is modeled using rs-fMRI data from 300 HCP subjects. • Graph permutation mutual information achieves the best clustering of brain subsystems.
Cross-Laplacians Based Topological Signal Processing over Cell MultiComplexes Stefania Sardellitti, Breno C. Bispo, Fernando A. N. Santos, Juliano B. Lima European Signal Processing Conference, 2025 The study of the interactions among different types of interconnected systems in complex networks has attracted significant interest across many research fields. However, effective signal processing over layered networks requires topological descriptors of the intra- and cross-layers relationships that are able to disentangle the homologies of different domains, at different scales, according to the specific learning task. In this paper, we present Cell MultiComplex (CMC) spaces, which are novel topological domains for representing multiple higher-order relationships among interconnected complexes. We introduce cross-Laplacians matrices, which are algebraic descriptors of CMCs enabling the extraction of topological invariants at different scales, whether global or local, inter-layer or intra-layer. Using the eigenvectors of these cross-Laplacians as signal bases, we develop topological signal processing tools for CMC spaces. In this first study, we focus on the representation and filtering of noisy flows observed over cross-edges between different layers of CMCs to identify cross-layer hubs, i.e., key nodes on one layer controlling the others.
Learning Higher-Order Interactions in Brain Networks via Topological Signal Processing Breno C. Bispo, Stefania Sardellitti, Fernando A. N. Santos, Juliano B. Lima European Signal Processing Conference, 2025 Our goal in this paper is to leverage the potential of the topological signal processing (TSP) framework for analyzing brain networks. Representing brain data as signals over simplicial complexes allows us to capture higher-order relationships within brain regions of interest (ROIs). Here, we focus on learning the underlying brain topology from observed neural signals using two distinct inference strategies. The first method relies on higher-order statistical metrics to infer multiway relationships among ROIs. The second method jointly learns the brain topology and sparse signal representations, of both the solenoidal and harmonic components of the signals, by minimizing the total variation along triangles and the data-fitting errors. Leveraging the properties of solenoidal and irrotational signals, and their physical interpretations, we extract functional connectivity features from brain topologies and uncover new insights into functional organization patterns. This allows us to associate brain functional connectivity patterns of conservative signals with well-known functional segregation and integration properties. Our findings align with recent neuroscience research, suggesting that our approach may offer a promising pathway for characterizing the higher-order brain functional connectivity.
Emergence of Higher-Order Functional Brain Connectivity with Hypergraph Signal Processing Breno C. Bispo, Fernando A. N. Santos, José R. De Oliveira Neto, Juliano B. Lima European Signal Processing Conference, 2024 Network theory has provided remarkable insights on how the human brain works. Such insights usually originate from models based on dyadic connections between brain regions, which may be inadequate for characterizing higher-order interactions. In recent works, this issue has been addressed by using hypergraph-based models, from which the aforementioned interactions can be revealed. In this line, this paper proposes to construct (brain) hypergraphs using a multivariate information-theoretic interdependence metric called interaction information. Our methodology is applied to functional magnetic resonance imaging (fMRI) time series and employs hypergraph signal processing concepts to analyze the eigenmodes of the brain hypergraph spectrum space. This allows to associate some spectral components of hypergraph modes with well-known functional brain subsystems as well as observe that specific low-frequency eigenmodes exhibit similarity patterns of neural activity. These results are in line with recent findings regarding the redundant and synergistic properties of the brain, and indicate that our study may represent a promising pathway to characterize the dynamics of higher-order brain functional connectivity.
Wearable System for Postural Adaptation B. C. Bispo, N. A. Cunha, E. L. Cavalcante, G. R. P. Esteves, K. R. C. Ferreira, A. C. Chaves, M. A. B. Rodrigues Ifmbe Proceedings, 2022
Novel measures of pairwise time series interdependence using graph permutation entropies: An application to brain functional connectivity JB Lima, BC Bispo, EF da Silva Neto, P Morgado Computers in Biology and Medicine 209, 111682 , 2026 2026
Multimodal Higher-Order Brain Networks: A Topological Signal Processing Perspective BC Bispo, S Sardellitti, JB Lima, FAN Santos arXiv preprint arXiv:2603.29903 , 2026 2026
From pairwise to higher-order brain community detection: A hypergraph signal processing approach on brain functional connectivity analysis BC Bispo, JR de Oliveira Neto, JB Lima, FAN Santos Computers in Biology and Medicine 201, 111409 , 2026 2026 Citations: 1
Topological Signal Processing Over Cell MultiComplexes Via Cross-Laplacian Operators S Sardellitti, BC Bispo, FAN Santos, JB Lima arXiv preprint arXiv:2510.09139 , 2025 2025
Cross-Laplacians Based Topological Signal Processing over Cell MultiComplexes S Sardellitti, BC Bispo, FAN Santos, JB Lima 2025 33rd European Signal Processing Conference (EUSIPCO), 2647-2651 , 2025 2025 Citations: 1
Learning Higher-Order Interactions in Brain Networks via Topological Signal Processing BC Bispo, S Sardellitti, FAN Santos, JB Lima 2025 33rd European Signal Processing Conference (EUSIPCO), 2652-2656 , 2025 2025 Citations: 2
Emergence of Higher-Order Functional Brain Connectivity with Hypergraph Signal Processing BC Bispo, FA N. Santos, JR De Oliveira Neto, JB Lima 32nd European Signal Processing Conference (EUSIPCO), 1332-1336 , 2024 2024 Citations: 7
Hardware Architectures for Computing Eigendecomposition-Based Discrete Fractional Fourier Transforms with Reduced Arithmetic Complexity BC Bispo, JR de Oliveira Neto, JB Lima Circuits, Systems, and Signal Processing 43 (1), 593-614 , 2024 2024 Citations: 1
Access Control System Integrated with RFID and NFC-Enabled Smartphone Technologies BC Bispo, EL Cavalcante, MAB Rodrigues Latin American Conference on Biomedical Engineering, 657-667 , 2022 2022 Citations: 3
Batteryless NFC Device for Heart Rate and SpO2 Acquisition BC Bispo, NA Cunha, MBC Silva, MAB Rodrigues Latin American Conference on Biomedical Engineering, 465-475 , 2022 2022 Citations: 3
A Serious Game that Can Aid Physiotherapy Treatment in Children Using Dennis Brown ATD Silva, BC Bispo, GRP Esteves, MBC Silva, MAB Rodrigues XXVII Brazilian Congress on Biomedical Engineering: Proceedings of CBEB 2020 … , 2022 2022
Wearable System for Postural Adaptation BC Bispo, NA Cunha, EL Cavalcante, GRP Esteves, KRC Ferreira, ... Brazilian Congress on Biomedical Engineering, 387-393 , 2020 2020
Transducer for the Strengthening of the Pelvic Floor Through Electromyographic Biofeedback CM Silva, BC Bispo, GRP Esteves, EL Cavalcante, ALB Oliveira, ... Brazilian Congress on Biomedical Engineering, 935-940 , 2020 2020
Geriatric physiotherapy: a telerehabilitation system for identifying therapeutic exercises AC Chaves Filho, AVM Inocêncio, KRC Ferreira, EL Cavalcante, ... Brazilian Congress on Biomedical Engineering, 969-974 , 2020 2020 Citations: 1
Communication in Hospital Environment Using Power Line Communications NA Cunha, BC Bispo, KRC Ferreira, GJ Alves, GRP Esteves, EAB Santos, ... Brazilian Congress on Biomedical Engineering, 1451-1455 , 2020 2020 Citations: 1
Development and customization of a Dennis Brown orthosis prototype produced from anthropometric measurements by additive manufacturing ATD Silva, AS Lages, J Silveira, GRP Esteves, BC Bispo, NA Santos, ... Brazilian Congress on Biomedical Engineering, 465-470 , 2020 2020 Citations: 2
Assisted Navigation System for the Visually Impaired MBC Silva, BC Bispo, CM Silva, NA Cunha, EAB Santos, MAB Rodrigues Brazilian Congress on Biomedical Engineering, 1439-1444 , 2020 2020 Citations: 3
Application of MQTT Network for Communication in Healthcare Establishment NA Cunha, BC Bispo, EL Cavalcante, AVM Inocêncio, GJ Alves, ... Brazilian Congress on Biomedical Engineering, 1465-1470 , 2020 2020 Citations: 2
Adapted Children’s Serious Game Using Dennis Brown Orthotics During the Preparatory Phase for the Gait ATD Silva, BC Bispo, AM Conceição, MBC Silva, GRP Esteves, ... Brazilian Congress on Biomedical Engineering, 439-443 , 2020 2020
Access Control in Hospitals with RFID and BLE Technologies BC Bispo, EL Cavalcante, GRP Esteves, MBC Silva, GJ Alves, ... Brazilian Congress on Biomedical Engineering, 917-924 , 2020 2020
MOST CITED SCHOLAR PUBLICATIONS
Emergence of Higher-Order Functional Brain Connectivity with Hypergraph Signal Processing BC Bispo, FA N. Santos, JR De Oliveira Neto, JB Lima 32nd European Signal Processing Conference (EUSIPCO), 1332-1336 , 2024 2024 Citations: 7
Access Control System Integrated with RFID and NFC-Enabled Smartphone Technologies BC Bispo, EL Cavalcante, MAB Rodrigues Latin American Conference on Biomedical Engineering, 657-667 , 2022 2022 Citations: 3
Batteryless NFC Device for Heart Rate and SpO2 Acquisition BC Bispo, NA Cunha, MBC Silva, MAB Rodrigues Latin American Conference on Biomedical Engineering, 465-475 , 2022 2022 Citations: 3
Assisted Navigation System for the Visually Impaired MBC Silva, BC Bispo, CM Silva, NA Cunha, EAB Santos, MAB Rodrigues Brazilian Congress on Biomedical Engineering, 1439-1444 , 2020 2020 Citations: 3
Learning Higher-Order Interactions in Brain Networks via Topological Signal Processing BC Bispo, S Sardellitti, FAN Santos, JB Lima 2025 33rd European Signal Processing Conference (EUSIPCO), 2652-2656 , 2025 2025 Citations: 2
Development and customization of a Dennis Brown orthosis prototype produced from anthropometric measurements by additive manufacturing ATD Silva, AS Lages, J Silveira, GRP Esteves, BC Bispo, NA Santos, ... Brazilian Congress on Biomedical Engineering, 465-470 , 2020 2020 Citations: 2
Application of MQTT Network for Communication in Healthcare Establishment NA Cunha, BC Bispo, EL Cavalcante, AVM Inocêncio, GJ Alves, ... Brazilian Congress on Biomedical Engineering, 1465-1470 , 2020 2020 Citations: 2
From pairwise to higher-order brain community detection: A hypergraph signal processing approach on brain functional connectivity analysis BC Bispo, JR de Oliveira Neto, JB Lima, FAN Santos Computers in Biology and Medicine 201, 111409 , 2026 2026 Citations: 1
Cross-Laplacians Based Topological Signal Processing over Cell MultiComplexes S Sardellitti, BC Bispo, FAN Santos, JB Lima 2025 33rd European Signal Processing Conference (EUSIPCO), 2647-2651 , 2025 2025 Citations: 1
Hardware Architectures for Computing Eigendecomposition-Based Discrete Fractional Fourier Transforms with Reduced Arithmetic Complexity BC Bispo, JR de Oliveira Neto, JB Lima Circuits, Systems, and Signal Processing 43 (1), 593-614 , 2024 2024 Citations: 1
Geriatric physiotherapy: a telerehabilitation system for identifying therapeutic exercises AC Chaves Filho, AVM Inocêncio, KRC Ferreira, EL Cavalcante, ... Brazilian Congress on Biomedical Engineering, 969-974 , 2020 2020 Citations: 1
Communication in Hospital Environment Using Power Line Communications NA Cunha, BC Bispo, KRC Ferreira, GJ Alves, GRP Esteves, EAB Santos, ... Brazilian Congress on Biomedical Engineering, 1451-1455 , 2020 2020 Citations: 1
Novel measures of pairwise time series interdependence using graph permutation entropies: An application to brain functional connectivity JB Lima, BC Bispo, EF da Silva Neto, P Morgado Computers in Biology and Medicine 209, 111682 , 2026 2026
Multimodal Higher-Order Brain Networks: A Topological Signal Processing Perspective BC Bispo, S Sardellitti, JB Lima, FAN Santos arXiv preprint arXiv:2603.29903 , 2026 2026
Topological Signal Processing Over Cell MultiComplexes Via Cross-Laplacian Operators S Sardellitti, BC Bispo, FAN Santos, JB Lima arXiv preprint arXiv:2510.09139 , 2025 2025
A Serious Game that Can Aid Physiotherapy Treatment in Children Using Dennis Brown ATD Silva, BC Bispo, GRP Esteves, MBC Silva, MAB Rodrigues XXVII Brazilian Congress on Biomedical Engineering: Proceedings of CBEB 2020 … , 2022 2022
Wearable System for Postural Adaptation BC Bispo, NA Cunha, EL Cavalcante, GRP Esteves, KRC Ferreira, ... Brazilian Congress on Biomedical Engineering, 387-393 , 2020 2020
Transducer for the Strengthening of the Pelvic Floor Through Electromyographic Biofeedback CM Silva, BC Bispo, GRP Esteves, EL Cavalcante, ALB Oliveira, ... Brazilian Congress on Biomedical Engineering, 935-940 , 2020 2020
Adapted Children’s Serious Game Using Dennis Brown Orthotics During the Preparatory Phase for the Gait ATD Silva, BC Bispo, AM Conceição, MBC Silva, GRP Esteves, ... Brazilian Congress on Biomedical Engineering, 439-443 , 2020 2020
Access Control in Hospitals with RFID and BLE Technologies BC Bispo, EL Cavalcante, GRP Esteves, MBC Silva, GJ Alves, ... Brazilian Congress on Biomedical Engineering, 917-924 , 2020 2020
Industry, Institute, or Organisation Collaboration
